The Passenger Car Equivalent Factors for Heavy Vehicles on Turbo Roundabouts

The presence of heavy and slower vehicles within the traffic stream significantly reduces traffic capacity. This reduction increases with the higher participation of heavy vehicles in the stream, which, compared to passenger cars, move at a lower speed. Furthermore, they occupy more space on the road, are characterized by a longer reaction time to the road traffic situations, and put greater pressure on the surface structure, etc. In order to conduct analyses related to determination of the conditions in the traffic stream, the traffic stream mixed in terms of composition is converted from real vehicles into passenger car equivalents. For this purpose, the passenger car equivalent factors (Ei) appropriate for a given group of vehicles are used. The paper presents the results of a study aimed to determine the numerical values of passenger car equivalent factors for heavy vehicles (trucks, buses, trucks with trailers, articulated buses) on turbo roundabouts. The research was carried out on turbo roundabouts located in Poland.

Introduction

The capacity of various elements of the transport system (e.g., intersections without traffic lights, roundabouts) is most often expressed as passenger car equivalents per hour [Pce/h]. In general, capacity is defined as the maximum number of vehicles which can cross a given (conventional) road section or an intersection entry per unit of time. The presence of heavy and slower vehicles within the traffic stream significantly reduces traffic capacity. This reduction increases with the higher participation of heavy vehicles in the stream, which, compared to passenger cars, move at a lower speed. Furthermore, they occupy more space on the road, are characterized by a longer reaction time to the road traffic situations, and put greater pressure on the surface structure, etc. In order to conduct analyses related to determination of the conditions in the traffic stream, the traffic stream mixed in terms of composition is converted from real vehicles into passenger car equivalents. For this purpose, the passenger car equivalent factors (Ei) related to a given group of vehicles are used.

Passenger car equivalent factor (E_i) for a given group of vehicles denotes the number of passenger cars (so-called passenger car equivalents) which would have the same effect on the traffic stream conditions as the vehicles from the analyzed group.

In detailed analyses of intersection capacity and road traffic conditions, failure to take into account the presence of vehicles with large diversity in terms of design and operation modes in the traffic stream can lead to misrepresentation of real traffic conditions. One of the most popular methods used in practice to solve this problem is to use passenger car equivalent factors to convert vehicles from different groups of vehicles into passenger car equivalents. The values of passenger car equivalent factors are estimated using dedicated theoretical calculation models. Based on the available scientific literature, it can be concluded that these models constitute a quite large group and are based on different assumptions and different calculation algorithms.

Many scientific studies both in Poland and abroad have been devoted to the problems related to the conversion of real vehicles into passenger car equivalents and taking into account the impact of heavy vehicles on the traffic stream conditions and pavement design. These studies aimed to determine numerical values of passenger car equivalent factors for intersections without traffic lights (e.g., Mohan and Chandra, 2018a,b), intersections with traffic lights (e.g., Asaithambi et al., 2017; Mohan and Chandra, 2017; Biswas et al., 2018), roundabouts (e.g., Giuffre et al., 2017, 2018; Kang and Nakamura, 2017; Sugiarto et al., 2018), and highways (e.g., Srikanth and Mehar, 2017, 2018; Zhou et al., 2018).

The paper presents the results of a study aimed to determine the numerical values of passenger car equivalent factors for heavy vehicles (trucks, buses, trucks with trailers, articulated buses) on turbo roundabouts. The research was carried out on turbo roundabouts located in Poland. The paper is a continuation of the author's research on the effect of different types of vehicles in the traffic stream on road traffic conditions (e.g., traffic capacity, level of service, visibility in the area of intersections, vehicle delays, traffic smoothness) (Macioszek, 2009, 2010a,b,c, 2012, 2018, 2019; Szczuraszek and Macioszek, 2010).

Overview of Previous Studies Related to Passenger Car Equivalent Factors on Roundabouts

Due to the fact that turbo roundabouts are a relatively new type of roundabouts, few studies in the scientific literature have focused so far on determination of passenger car equivalents factors for turbo roundabouts. These were mainly studies written by researchers from Italy (Giuffre et al., 2016a,b). The comparison of the results of their studies is presented in Table 1.

TABLE 1

Table 1. Passenger car equivalent factors for turbo roundabouts—research results.

However, some studies have also determined passenger car equivalent factors dedicated to other types of roundabouts. Many of these studies have shown that passenger car equivalents for roundabouts depend on: type of road (rural, urban), vehicle power, dimensions, vehicle speed, road geometry (including curves, gradients, access controls), roundabout location (urban areas, suburban areas, rural areas), acceleration and braking characteristics of the vehicles, traffic volume values, and many others factors. Therefore, passenger car equivalents are considered essential in carrying out most of road traffic analyses since they incorporate the impact of heavy vehicles on road traffic operations, thus making the performance analysis more accurate.

Based on the results of previous studies in this field, the HCM 2010 manual (Transportation Research Board, 2010) proposes the value of PCEs for heavy vehicles to equal two for all types of roundabouts for every road traffic conditions. HCM does not stipulate values of PCEs for heavy-duty vehicles moving on turbo roundabouts.

Furthermore, Lee (2015) presented results of a study of PCEs for heavy vehicles at roundabouts in Vermont, Ontario, Canada and Wisconsin. The results showed that the PCEs for heavy and light trucks are 1.5–2.5 and 1.0–1.5, respectively. In particular, the PCE for light trucks was lower than a default value of 2.0. The results also showed that in general, the model predicted the capacity more accurately when the critical gap and follow-up time were adjusted by different weights instead of the same weight (i.e., the default value of the PCEs). A significant effect of passenger car equivalents values adopted in the analyses on traffic capacity has been also indicated by Yong-Jae et al. (2010) and List et al. (2015). Lee, in another study (Lee, 2014), determined passenger car equivalents for heavy vehicles based on the research conducted at roundabouts located in Brattleboro, Vermont. The PCE was estimated such that the variation in the capacity is minimized for a given circulating flow rate to determine the observed capacity. The study also proposed two PCEs which specifically concern the difference in the critical gap and follow-up gap between passenger cars and heavy trucks. The results demonstrated that the PCEs for heavy trucks are 3.5–6.0 in 540–840 pcu/h of the circulating flow rate, which is significantly different from a default value of 2.0 specified in HCM 2010.

Kang and Nakamura (2016) conducted research on the impact of heavy vehicles on traffic capacity and the analysis of changes in PCEs values depending on the congestion at the entries and the circular roadways in roundabouts in Japan. They estimated entry capacity considering characteristics of heavy vehicle behavior in Japan by microscopic simulation. Using the simulation, the researchers found that roundabout entry capacity is reduced when heavy vehicle percentage increases. Furthermore, estimated PCEs results showed that the PCE value of entry flow increase when circulating flow increases and decreases when circulating flow is at a high level. They also concluded that PCEs of entry flow is lower than that of circulating flow which has priority at roundabouts. In another paper by Kang and Nakamura (2017) used field data from a single-lane roundabout in Japan to conduct an empirical analysis on headway parameters for examining the characteristics of heavy vehicles. It was confirmed that the headways which are formed by heavy vehicles are usually greater than those formed by passenger cars only.

Sonu et al. (2016) and Sugiarto et al. (2018) carried out an estimate of passenger car equivalents at roundabouts for different vehicle categories based on the concept of time occupancy. Giuffre et al. (2017) presented the results of estimation of passenger car equivalents for single-lane roundabouts using a microsimulation-based procedure (AIMSUN). Kollar (2014) also presented the results of estimation of passenger car equivalents using a microsimulation based procedure (VISSIM).

Among the studies that have examined values of PCEs indicating the presence of relationships between the psychotechnical parameters of drivers of various types of vehicles (i.e., critical gap and follow-up time) and the geometry of roundabouts are the papers published by Dahl (2011) and Dahl and Lee (2012), which examined the effect of heavy vehicles (trucks) on the entry capacity of roundabouts. Gap-acceptance parameters were estimated for passenger cars and trucks separately. It was found that the critical gap and follow-up time were longer for trucks than for passenger cars and that the follow-up times for truck-involved vehicle-following cases were associated with the central island diameter and the entry angle. This study underscored the importance of considering the effect of trucks on traffic capacity for the roundabouts with a high truck volume. In this group of studies, noteworthy is the study by Lee and Khan (2013), who determined the PCEs for trucks based on measurements gap acceptance parameters for trucks. Then, the researchers estimated roundabout capacity using new values of gap acceptance parameters for trucks. The results obtained allowed for finding a better reflection of the capacity at the entries in the calculation of new values of gap acceptance parameters for trucks.

Furthermore, Tanyel et al. (2013) stated that heavy vehicles have a strong effect on roundabout operations. Their research results demonstrated that different passenger car equivalent values should be used in the analysis separately for minor and major flows. They concluded that using the same PCE value for both kinds of flows may lead engineers to overdesign or make inadequate designs. Furthermore, it was demonstrated that the effect of heavy vehicles on the major flow was greater when the mean speed of the major flow was low.

Theoretical Models Used to Calculate Passenger Car Equivalents Factors

There is a considerable number of studies both in Poland and abroad devoted to the problems of passenger car equivalent factors and the effect of heavy vehicles on the traffic streams. The theoretical models for the passenger car equivalent factors calculation most commonly used in practice are presented in Table 2. The models presented in Table 2 can be divided into four groups, based on the following criteria:

- comparison of two traffic streams (passenger and mixed traffic streams) under similar road traffic conditions (models 1–6),

- comparison of densities of two traffic streams (passenger and mixed traffic streams) under similar road traffic conditions (model 7),

- comparison of average time differences or distances between the vehicles in two homogeneous streams (passenger car stream and analyzed vehicle type stream) under similar traffic conditions (models 8 and 9),

- comparison of some characteristics related to overtaking in the traffic stream for two vehicles: passenger car and vehicle from the analyzed group (models 10 and 11).

TABLE 2

Table 2. Theoretical models used for passenger car equivalent factors calculation.

In practice, models 2 and 10 are most frequently used to calculate the passenger car equivalent factors (E_i) for the road segments, whereas models 8 and 9 (developed by F.V. Webster and B.D. Greenshields) are often used to calculate the intersections capacity. It can be noticed that the model 8 is a specific case of the models 1 and 2, where the vehicles from the analyzed category account for 100% of the traffic stream composition.

According to the Guidelines for intersections without traffic lights, intersections with traffic lights and roundabouts capacity calculation used in Poland (Tracz et al., 2004b), the passenger car equivalent factors values depend on intersection types and types of vehicles converted to passenger cars equivalents (Table 3).

TABLE 3

Table 3. Passenger car equivalent factors values according to Polish Quidelines.

The coefficient of vehicle conversion into passenger cars has the following form:

$\begin{array}{ll}{f}_c=\frac{1}{1+u_{SC}(E_{SC}-1)+u_{SCP}(E_{SCP}-1)+u_{M/R}\left(E_{M/R}-1\right)}\begin{array}{}\end{array}\left[-\right]& (1)\end{array}$

where:

f _c - coefficient of conversion of real vehicles into passenger cars [–],

u_sc, u_scp, u_m/r - shares of particular types of vehicles in the traffic stream [–],

sc - trucks and buses,

scp - trucks with trailers, articulated buses,

m/r - motor bikes and bicycles,

E_SC, E_SCP, E_M/R – passenger car equivalent factors according to the Table 3.

If a simplified road traffic structure is considered, only two groups of vehicles occur in the traffic stream. These are passenger cars and heavy vehicles (trucks with and without trailers, buses and articulated buses). In this case, Polish Guidelines recommended the use of the following values of passenger car equivalent factors (Chodur, 2004; Tracz et al., 2004b): E_o = 1.0 [–] and E_SC = 2.0 [–]. The coefficient of vehicle conversion into passenger cars has the following form (Chodur, 2004; Tracz et al., 2004b):

$\begin{array}{ll}{f}_c=\frac{1}{1+u_{SC}(E_{SC}-1)}\begin{array}{}\end{array}\left[-\right]& (2)\end{array}$

where:

f _c - coefficient of conversion of real vehicles into passenger cars [–],

u_sc - share of heavy vehicles (trucks with and without trailers, buses and articulated buses) in the traffic stream [–],

E_SC - passenger car equivalent factor (E_c = 2.0 [–]).

The vehicle conversion coefficient value calculated according to the formula 1 or 2 is used to convert the traffic volume consisting only of passenger cars to the traffic volume consisting of different types of vehicles. When real vehicles are converted into passenger cars (change from veh/h to pcu/h), the real vehicles should be multiplied by 1/f _c. When traffic volume consisting of only passenger cars is converted to real vehicles (change from pcu/h to veh/h), the passenger cars should be multiplied by f _c.

Field Research and Methodology of Empirical Research

The research on turbo roundabouts have been performed in recent years on 23 turbo roundabouts located in Poland in built-up areas. All turbo roundabouts had four entries and are characterized by different geometries. On each turbo roundabout, the measurements were made for a roundabout entry with two traffic lanes and a circular roadway with two traffic lanes, with one starting at the entry level (Figure 1).

FIGURE 1

Figure 1. Traffic control scheme for turbo roundabout entry at which measurements were made.

During the empirical research, the following road traffic stream characteristics were measured at turbo roundabouts:

- follow-up times between the vehicles entering the circular roadway from the entry lanes,

- gaps accepted and rejected by individual vehicle drivers from entry lanes, which then formed the basis for the designation of the critical gaps values for the vehicle drivers from entry lanes,

- time gaps between the vehicles moving on the circular roadways.

Follow-up time (t_f) expresses the gap between the first vehicle from entry lane passing the edge of the roundabout and passing the next vehicle using the same gap between vehicles moving on the roundabout circular roadway, assuming that they enter the roundabout circular roadway from the queue at the entry lane. If a gap between vehicles on roundabout circular roadway allows further vehicles to enter the roadway, they pass the edge of the roundabout at t_f one after another. During the empirical research, the time of passing the roundabout edge by subsequent vehicles entering the circular roadway was recorded (separately for the left and right entry lane). Based on these temporal data, the follow-up times for successive vehicles from the queue at the entry lane were calculated from the equation:

$\begin{array}{ll}{t}_{f(i)-(i+1)}=t_{w(i+1)}-t_{w(i)\left[s\right]}& (3)\end{array}$

where:

t_w(i), t_w(i+1) - times of vehicle passing the roundabout edge for i and i+1 vehicles [s],

t_{f (i)−(i+1)} - follow-up time between i and i+1 vehicles (referred further in the paper as t_f) [s].

The example of the camera location for the measurement of the follow-up times of vehicle drivers at turbo roundabout entry lanes is presented in Figure 2A.

FIGURE 2

Figure 2. The example of the camera location for the measurement of (A) follow-up time for vehicle drivers at entry, (B) time gaps between the vehicles moving on the turbo roundabouts circular roadway.

Furthermore, the critical gap (t_g) is the gap value between vehicles moving on roundabout circular roadway, at which each gap equal or greater will be used by the average (from the statistical point of view) vehicle driver to enter the roundabout circular roadway, while any smaller gap (making it impossible to perform the intended maneuver) will not be used. The procedure used during the measurements is similar to that used by Drew (1968). For each vehicle driver stopping at the roundabout edge line, two gaps were recorded: the longer rejected gap and accepted gap. Furthermore, for each vehicle driver who enter the roundabout circular roadway without stopping at the roundabout edge, only the accepted gap was further considered. The data collected in this way were the basis for estimation of critical gaps for individual vehicle drivers at turbo roundabout entry lanes. The critical gap values can be estimated using different determination methods (e.g., cumulative curves, the acceptance curves, histogram, maximum likelihood method). The methods of measurement and research techniques used for evaluation of critical gaps have been described in detailed in Brilon et al. (1999). For the collected data, the critical gap was determined graphically based on cumulative curves and acceptance curves, as well as algebraically, using the formula proposed by Drew (1968):

$\begin{array}{ll}{t}_g=t+\frac{(c-a)\Delta t}{(b+c)-(a+d)}\begin{array}{c}\left[s\right]\end{array}& (4)\end{array}$

where:

t - the middle of the time interval, in which critical gap is located [s],

Δt - the spread of the time interval, in which critical gap is located [s],

a, b - the numbers of accepted gaps smaller than t in individual time intervals, for which the numbers of rejected gaps bigger than t are close to each other (ideal in ideal cases),

c, d - the numbers of rejected gaps bigger than t in individual time intervals, for which the numbers of accepted gaps smaller than t are close to each other (equal in ideal cases).

The measurements of time gaps between the vehicles moving on the circulatory roadways were made in cross-sections located in the front of the roundabout entry. Measuring station (digital camera) was placed in each case on the island at the roundabout entry (Figure 2B). The measurement procedure consisted in recording gaps between the fronts of subsequent vehicles passing the same selected road section. The recorded gap was the sum of the time needed for the passage of the vehicle itself and the time gap to the front of the next vehicle. The measurements were made taking into account the road traffic structure.

The research was carried out in peak hours with high traffic volume both at the entry lanes and on the circular roadway lanes. The research was performed using Sony digital cameras with 60 GB HDD and a battery pack allowing for continuous recording the traffic streams up to 8 h. Using the cameras allowed for obtaining data accuracy of 0.04 s (the image was recorded at the rate of 25 frames/second). In each case, the measuring station was located in a place not very visible to the vehicles drivers (so that the measurements do not affect the drivers behaviors), but at the same time ensuring an accurate reading and analysis of the measured values. All measurements were taken in good weather conditions (no atmospheric precipitation). For further analysis, both samples consisting only of passenger cars and vans and samples consisting of different types of vehicles were taken into account. In the collected data, the percentage of heavy vehicles did not exceed 22.0%.

Estimation of Passenger Car Equivalent Factors for Turbo Roundabouts

The measurements were used to calculate values of passenger car equivalent factors according to model 8 (see Table 1) i.e., by comparing the average time gaps between the vehicles in two homogeneous traffic streams (passenger cars stream and a stream of vehicles from the analyzed group of vehicles) at the same traffic conditions.

Passenger Car Equivalent Factors for Follow-Up Times Between the Vehicles Entering the Circular Roadway From the Turbo Roundabout Entry Lanes

Two cases were analyzed during the measurements. In the first case, the behaviors of the queue of vehicles consisting only of the passenger cars were analyzed. The follow-up times between the passenger cars entering the circulatory roadway from the turbo roundabout entry lanes were measured (Figure 3A). The second case analyzed the traffic streams mixed in terms of composition. In the queue on roundabout entry lanes, heavy vehicles (i.e., trucks, buses, trucks with trailers, articulated buses) were behind the passenger car (Figure 3B).

FIGURE 3

Figure 3. The situations taken into account during measurements of the follow-up times between the vehicles entering the circular roadway from turbo roundabout entry lanes. (A) Only passenger cars. (B) Passenger cars and heavy vehicles (i.e., trucks, buses, truck with trailers, articulated buses).

The follow-up times between two passenger cars (t_f−SOD) and between passenger cars and heavy vehicles (t_f−SC or t_f−SCP, respectively) entering the circular roadway from the turbo roundabout entry lanes were calculated as an average value for each turbo roundabout. The passenger car equivalent factor for follow-up times between the vehicles entering the circular roadway from the turbo roundabout entry lanes was calculated as:

$\begin{array}{ll}{E}_f=\frac{t_{f-SC}}{t_{f-SOD}}\left[-\right]and{E}_f=\frac{t_{f-SCP}}{t_{f-SOD}}\left[-\right]& (5)\end{array}$

where:

E_f - passenger car equivalent factor for heavy vehicles (i.e., trucks, buses, trucks with trailers, articulated buses) [–],

t_f−SC - follow-up time between passenger cars and heavy vehicles (i.e., trucks, buses) [s],

t_f−SCP - follow-up time between passenger cars and heavy vehicles (i.e., trucks with trailers, articulated buses) [s],

t_f−SOD - follow-up time between two passenger cars [s].

The results of the analysis are presented in Table 4.

TABLE 4

Table 4. The passenger car equivalent factors for follow-up times between the vehicles entering on the circulatory roadway from the turbo roundabout entry lanes.

Passenger Car Equivalent Factors for Critical Gaps for Vehicles Drivers at Turbo Roundabouts

Critical gaps measurements were performed in two cases. The first case occurred when a driver of a passenger car accepted or rejected a gap between two passenger cars moving on the turbo roundabout circular roadway (Figure 4A). The second case was when a driver of a heavy vehicle (i.e., trucks, buses, trucks with trailers, articulated buses) accepted or rejected a gap between two passenger cars moving on the turbo roundabout circular roadway (Figure 4B).

FIGURE 4

Figure 4. The situations taken into account in measurements of critical gaps for vehicle drivers at turbo roundabouts. (A) Only passenger cars. (B) Passenger cars and heavy vehicles (i.e., trucks, buses, truck with trailers, articulated buses).

Based on the collected data about the longest time gaps rejected and the time gaps accepted by individual drivers, the critical gaps were determined using cumulative curves (Figure 5A) and the acceptance curves (Figure 5B) for the two cases described above separately for vehicle drivers from the left and right entry lanes.

FIGURE 5

Figure 5. Example of graphical determination of critical gaps using (A) cumulative curves an (B) the acceptance curves (where: t_gP, critical gap for vehicle drivers from the right entry lane; t_gL, critical gap for vehicle drivers from the left entry lane).

The passenger car equivalent factor for critical gaps for vehicle drivers entering the circular roadway from the turbo roundabout entry lanes was calculated from the formula:

$\begin{array}{ll}{E}_g=\frac{t_{g-SC}}{t_{g-SOD}}\left[-\right]and{E}_g=\frac{t_{g-SCP}}{t_{g-SOD}}\left[-\right]& (6)\end{array}$

where:

E_g - passenger car equivalent factor for heavy vehicles (i.e., trucks, buses, trucks with trailers, articulated buses) [–],

t_g−SC - critical gap for heavy vehicles (i.e., trucks, buses) [s],

t_g−SCP - critical gap for heavy vehicles (i.e., trucks with trailers, articulated buses) [s],

t_g−SOD - critical gap for passenger cars [s].

The results of the analysis are presented in Table 5.

TABLE 5

Table 5. The passenger car equivalent factors for critical gaps for vehicle drivers on turbo roundabout entry lanes.

Passenger Car Equivalent Factors for the Time Gaps Between Vehicles Moving on the Circular Roadways of Turbo Roundabouts

Two cases of the time gaps between vehicles moving on the circular roadways of turbo roundabouts were analyzed during the measurements. In the first case, the time gaps between two passenger cars were analyzed (Figure 6A). The second case concerned the time gaps between passenger cars and heavy vehicles (Figure 6B). Finally, the passenger car equivalent factor for the time gaps between vehicles moving on the circulatory roadway of turbo roundabout was calculated from the following formula:

$\begin{array}{ll}{E}_p=\frac{t_{SC}+u_{SOD-SC}}{t_{SOD}+u_{SOD-SOD}}\left[-\right]and{E}_p=\frac{t_{SCP}+u_{SOD-SCP}}{t_{SOD}+u_{SOD-SOD}}\left[-\right]& (7)\end{array}$

where:

E_p - passenger car equivalent factor for heavy vehicles (i.e., trucks, buses, trucks with trailers, articulated buses) [–],

t_SC - travel time of heavy vehicles (i.e., trucks, buses) calculated as: $t_{SC}=\frac{l_{SC}}{V_{SC}}\left[s\right]$,

t_SCP - travel time of heavy vehicles (i.e., trucks with trailers, articulated buses) calculated as: $t_{SCP}=\frac{l_{SCP}}{V_{SCP}}\left[s\right]$,

l_SC - length of heavy vehicles (i.e., trucks, buses) [m],

l_SCP - length of heavy vehicles (i.e., trucks with trailers, articulated buses) [m],

V_SC, V_SCP - speed of heavy vehicles. According to the data presented in Guidelines (2001), the speed was assumed as 20 [km/h] = 5.56 [m/s],

t_SOD - travel time of passenger car calculated as: $t_{SOD}=\frac{l_{SOD}}{V_{SOD}}\left[s\right]$,

l_SOD - length of passenger car [m],

V_SOD - speed of passenger cars [m/s]. According to the data presented in Guidelines (2001), the speed was assumed as 30 [km/h] = 8.33 [m/s],

u_SOD−SC - time gap between the rear of the first vehicle—i.e., a passenger car and the front of the next vehicle—i.e., heavy vehicle (i.e., trucks, buses) [s],

u_SOD−SCP - time gap between the rear of the first vu_SOD−SODehicle—i.e., a passenger car and the front of the next vehicle—i.e., heavy vehicle (i.e., trucks with trailers, articulated buses) [s],

u_SOD−SOD - time gap between the rear of the first vehicle—i.e., a passenger car and the front of the next passenger car [s].

FIGURE 6

Figure 6. The situations taken into account in the measurements of the time gaps between the vehicles moving on the circular roadways of turbo roundabouts. (A) Only passenger cars. (B) Passenger cars and heavy vehicles (i.e., trucks, buses, truck with trailers, articulated buses).

The length of each type of vehicle has been adopted in accordance with the classification of types of vehicles into groups according to their length (PMS)¹ (Szczuraszek et al., 2007). The lengths of the selected types of vehicles adopted for the analysis are presented in Table 6. The results of equivalent factors calculations are shown in Table 7.

TABLE 6

Table 6. The lengths of the selected types of vehicles.

TABLE 7

Table 7. The passenger car equivalent factors for the time gaps between vehicles moving on the circulatory roadways of turbo roundabouts.

Finally, the values of the equivalent factors for heavy vehicles on turbo roundabouts have been calculated as arithmetic means. The results of calculations are presented in Table 8.

TABLE 8

Table 8. Passenger car equivalent factors values for turbo roundabouts.

The passenger car equivalent factor for trucks and buses (E_sc) is 1.74 for entry, with 1.71 for the left entry lane and 1.77 for the right entry lane. Furthermore, the passenger car equivalent factor for trucks with trailers and articulated buses (E_scp) is 1.86 for entry, with 1.82 for the left entry lane and 1.90 for the right entry lane.

The constraints to the vehicle trajectories at roundabouts imposed with the curvilinear geometric design and the driver gap acceptance behavior led to the impact of the heavy vehicles on the quality of traffic flow different from that found for freeways and two-lane highways or other at-grade intersections. This is also because the entering flow is opposed by the circulating flow which has the priority and travels in an anticlockwise direction around the central island. Because of this impact, the method according to model 8 (Table 1) adopted in the study, i.e., by comparing the average time gaps between the vehicles in two homogeneous traffic streams (passenger cars stream and a stream of vehicles from the analyzed group of vehicles) at the same level of traffic conditions seems to be appropriate because it allows for adequate modeling of real traffic situations occurring at roundabouts.

The Effect of Heavy Vehicles on the Parameters of Capacity Calculation Model

Heavy vehicles such as trucks, buses, trucks with trailers, and articulated buses are different from passenger cars due to e.g., their size or acceleration and deceleration performance. As shown in the paper, these futures have a significant effect on the capacity calculation model parameters such as follow-up time (t_f), critical gap (t_g), and time gap between the vehicle on the circular roadway (t_p). Therefore, in order to calculate the turbo roundabout entry capacity taking into account heavy vehicles, the effect of heavy vehicles on the headway parameters should also be analyzed. Usually, the headway parameters are influenced by national or local driver behaviors. In this case, the driver behaviors were represented by Polish drivers. Figures 7, 8 present the theoretical values of the turbo roundabout entry lanes capacity for passenger cars only and heavy vehicles only. Furthermore, Figure 9 illustrates the turbo roundabout entry capacity for passenger cars only and heavy vehicles only. The capacity values were determined based on the models presented in the study (Macioszek, 2013). Passenger car equivalent factors presented in this paper were used for capacity calculations (Table 8). It is obvious that the calculated capacity of passenger cars only is higher than that of heavy vehicles only at the same level of circulating flow. Furthermore, the capacity values with a certain percentage of heavy vehicles in the traffic stream will be between curves presented in Figures 7–9, respectively.

FIGURE 7

Figure 7. Capacity of the left entry lane of the turbo roundabout for passenger cars only and heavy vehicles only.

FIGURE 8

Figure 8. Capacity of the right entry lane of the turbo roundabout for passenger cars only and heavy vehicles only.

FIGURE 9

Figure 9. Turbo roundabout entry capacity for passenger cars only and heavy vehicles only.

Conclusions

This paper presents an empirical analysis for determination of the passenger car equivalent factors for heavy vehicles (trucks, buses, trucks with trailers, articulated buses) on turbo roundabouts in Poland. For the purpose of the evaluation of the passenger car equivalent factors, the effect of heavy vehicles on the three headway parameters i.e., follow-up time (t_f), critical gaps (t_g), and time gaps between the vehicles moving on turbo roundabouts circular roadways (t_p) was examined. It was found based on the results that all headway parameters which include heavy vehicles are longer than those under the conditions of passenger cars only. The increasing tendency for the presence of heavy vehicles in traffic streams implies that headway parameters become longer with the increase of heavy vehicle percentage.

The analysis presented in this paper allows for the conclusion that the passenger car equivalent factor on turbo roundabouts in Poland for trucks and buses (E_sc) is 1.74 for the entry, with 1.71 for the left entry lane and 1.77 for the right entry lane. Furthermore, the passenger car equivalent factor for trucks with trailers and articulated buses (E_scp) is 1.86 for entry, with 1.82 for the left entry lane and 1.90 for the right entry lane.

However, these research results should be treated as preliminary and pilot results. It is necessary to extend the number of analyzed turbo roundabouts in future research and to examine the effect of the variable percentage of heavy vehicles in traffic streams on the values of passenger car equivalent factors. Further analyses should also take into account the varied geometry of turbo roundabouts and various cases of road traffic control in the area of turbo roundabout circular roadway and entries.

Data Availability

The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.

Author Contributions

The author confirms being the sole contributor of this work and has approved it for publication.

Conflict of Interest Statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Footnotes

1. ^PMS. Pierwszy Serwis Miedzynarodowy Transportu i Spedycji: Tabela dopuszczalnych wymiarów pojazdów w krajach europejskich, http://psm.pl/informacje/wymiary.html (data dostepu: 23 XII 2018 r.) [In Polish: PMS. The First International Transport and Forwarding Service: Table of Permissible Vehicle Dimensions in European Countries (accessed December 23, 2018)].

References

Asaithambi, G., Mourie, H. S., and Sivanandan, R. (2017). Passenger car unit estimation at signalized intersection for non-lane based mixed traffic using microscopic simulation model. Period. Polytech. Trans. Eng. 45, 12–20. doi: 10.3311/PPtr.8986

CrossRef Full Text | Google Scholar

Benekhoal, R. F., and Zhao, W. (2000). Delay-based passenger car equivalents for trucks at signalized intersections. Trans. Res. Part A 34, 437–457. doi: 10.1016/S0965-8564(99)00026-9

CrossRef Full Text

Biswas, S., Malik, N., Singh, S., and Bisen, A. V. (2018). “Estimation of dynamic passenger car unit by multi objective optimization technique,” in 2018 8th International Conference on Cloud Computing, Data Science & Engineering (IEEE), 427–430. doi: 10.1109/CONFLUENCE.2018.8442541

CrossRef Full Text

Branston, D., and Zuylen, H. (1978). The estimation of saturation flow, effective green time and passenger car equivalents at traffic signals by multiple linear regression. Trans. Res. 12, 47–53. doi: 10.1016/0041-1647(78)90107-7

CrossRef Full Text | Google Scholar

Brilon, W., Koenig, K., and Troutbeck, R. (1999). Useful estimation process for critical gaps. Trans. Res. Part A 33, 161–186. doi: 10.1016/S0965-8564(98)00048-2

CrossRef Full Text | Google Scholar

Chodur, J. (2004). Metoda Obliczania Przepustowości Skrzyzowan Bez Sygnalizacji Swietlnej. Instrukcja Obliczania. Waraw: Generalna Dyrekcja Dróg Krajowych i Autostrad.

Cunagin, W. D., and Messer, C. J. (1982). Passenger Car Equivalents for Rural Highways. FHWA-RD-82-132 Final Report. Washington, DC: Transportation Research Board.

Google Scholar

Dahl, J. (2011). Capacity estimation for roundabouts with high truck volume using gap acceptance theory. (Master Thesis 76). University of Windsor.

Google Scholar

Dahl, J., and Lee, C. (2012). Empirical estimation of capacity for roundabout using adjusted gap-acceptance parameters for trucks. Trans. Res. Record J. Trans. Res. Board 2312, 34–45. doi: 10.3141/2312-04

CrossRef Full Text | Google Scholar

Drew, D. R. (1968). Traffic Flow Theory and Control. New York, NY: Mc Graw - Hill Series in Transportation.

Google Scholar

Elefteriadou, L., Torbic, D., and Webster, N. (1997). Development of passenger car equivalents for freeways, two-lane highways, and arterials. Trans. Res. Record J. Trans. Res. Board 1572, 51–58. doi: 10.3141/1572-07

CrossRef Full Text | Google Scholar

Giuffre, O., Grana, A., Marino, S., and Galatioto, F. (2016a). Microsimulation-based passenger car equivalents for heavy vehicles driving turbo-roundabouts. Transport 31, 295–303. doi: 10.3846/16484142.2016.1193053

CrossRef Full Text | Google Scholar

Giuffre, O., Grana, A., Marino, S., and Galatioto, F. (2016b). Passenger car equivalent for heavy vehicles crossing turbo-roundabouts. Trans. Res. Proc. 14, 4190–4199. doi: 10.1016/j.trpro.2016.05.390

CrossRef Full Text | Google Scholar

Giuffre, O., Grana, A., Tumminello, M. L., and Sferlazza, A. (2017). Estimation of passenger car equivalents for single-lane roundabouts using a microsimulation-based procedure. Exp. Syst. Appl. 79, 333–347. doi: 10.1016/j.eswa.2017.03.003

CrossRef Full Text | Google Scholar

Giuffre, O., Grana, A., Tumminello, M. L., and Sferlazza, A. (2018). Capacity-based calculation of passenger car equivalents using traffic simulation at double-lane roundabouts. Simul. Model. Pract. Theory 81, 11–30. doi: 10.1016/j.simpat.2017.11.005

CrossRef Full Text | Google Scholar

Guidelines (2001). Guidelines for the Road Intersections. Part II. Roundabouts. Warsaw: The General Directorate of Public Roads.

Kang, N., and Nakamura, H. (2016). An analysis of heavy vehicle impact on roundabout entry capacity in Japan. Trans. Res. Proc. 15, 308–318. doi: 10.1016/j.trpro.2016.06.026

CrossRef Full Text | Google Scholar

Kang, N., and Nakamura, H. (2017). An analysis of characteristics of heavy vehicle behavior at roundabout in Japan. Trans. Res. Proc. 25, 1485–1493. doi: 10.1016/j.trpro.2017.05.176

CrossRef Full Text | Google Scholar

Kollar, A. (2014). The supervision of passenger car unit values in different types of urban junction with VISSIM program. Pollack Period. 9, 49–60. doi: 10.1556/Pollack.9.2014.1.6

CrossRef Full Text | Google Scholar

Lee, C. (2014). “Passenger car equivalents for heavy vehicles at roundabouts: estimation and application to capacity prediction,” in TRB 93rd Annual Meeting Compendium of Papers (Washington, DC: Transportation Research Board).

Lee, C. (2015). Developing passenger-car equivalents for heavy vehicles in entry flow at roundabouts. J. Trans. Eng. 141:04015013. doi: 10.1061/(ASCE)TE.1943-5436.0000775

CrossRef Full Text | Google Scholar

Lee, C., and Khan, N. (2013). Prediction of capacity for roundabouts based on percentages of trucks in entry and circulating flows. Trans. Res. Record J. Trans. Res. Board 2389, 30–41. doi: 10.3141/2389-04

CrossRef Full Text | Google Scholar

List, G. F., Yang, B., and Schroeder, B. (2015). On the treatment of trucks in roundabout analyses. Trans. Res. Record J. Trans. Res. Board 2483, 140–147. doi: 10.3141/2483-16

CrossRef Full Text | Google Scholar

Macioszek, E. (2009). “Szacowanie wpływu struktury rodzajowej na warunki ruchu na skrzyzowaniach typu rondo,” in Materiały konferencyjne VI Konferencji Naukowo-Technicznej: Systemy Transportowe (Katowice: Teoria i Praktyka), 253–264.

Macioszek, E. (2010a). “The Passenger Car Equivalent Factor for Heavy Vehicles on Roundabouts,” in Contemporary Transportation Systems. Selected Theoretical and Practical Problems. The Development of Transportation Systems. Monograph, Vol. 256, eds R. Janecki and G. Sierpinski (Gliwice: Silesian University of Technology), 127–137.

Macioszek, E. (2010b). Wybrane algorytmy obliczania współczynników ekwiwalentnych dla pojazdów ciezkich. Logistyka 2, 745–756.

Macioszek, E. (2010c). Analiza wpływu stopnia obciazenia ruchem na wartość współczynnika przeliczeniowego dla pojazdów ciezkich na skrzyzowaniach typu rondo. Logistyka 6, 2071–2079.

Macioszek, E. (2012). “Geometrical determinants of car equivalents for heavy vehicles crossing circular intersections,” in Transport Systems Telematics. Communications in Computer and Information Science, Vol. 329, ed J. Mikulski (Berlin; Heidelberg: Springer-Verlag), 221–228. doi: 10.1007/978-3-642-34050-5_25

CrossRef Full Text | Google Scholar

Macioszek, E. (2013). Modele przepustowości wlotów skrzyzowan typu rondo w warunkach wzorcowych. Open Access Library 3, 1–260.

Google Scholar

Macioszek, E. (2018). “The comparison of models for follow-up headway at roundabouts,” in Recent Advances in Traffic Engineering for Transport Networks and Systems. Lecture Notes in Networks and Systems, Vol. 21, eds E. Macioszek and G. Sierpinski (Springer International Publishing), 16–26. doi: 10.1007/978-3-319-64084-6_2

CrossRef Full Text

Macioszek, E. (2019). “Models of critical gaps and follow-up headways for turbo roundabouts,” in Roundabouts as Safe and Modern Solutions in Transport Networks and Systems. Lecture Notes in Networks and Systems, Vol. 52, eds E. Macioszek, R. Akçelik, and G. Sierpinski (Springer International Publishing), 124–134. doi: 10.1007/978-3-319-98618-0_11

CrossRef Full Text

Matthew, H. (1982). Estimation of passenger car equivalents of trucks in traffic stream. Trans. Res. Board 869, 60–70.

Google Scholar

Mohan, M., and Chandra, S. (2017). Queue clearance rate method for estimating passenger car equivalents at signalized intersections. J. Traffic Trans. Eng. 4, 487–495. doi: 10.1016/j.jtte.2016.12.003

CrossRef Full Text | Google Scholar

Mohan, M., and Chandra, S. (2018a). Three methods of PCU estimation at unsignalized intersections. Int. J. Trans. Res. 10, 68–74. doi: 10.1080/19427867.2016.1190883

CrossRef Full Text | Google Scholar

Mohan, M., and Chandra, S. (2018b). Occupancy time-based passenger car equivalents at unsignalized intersections in India. Curr. Sci. 114, 1346–1352. doi: 10.18520/cs/v114/i06/1346-1352

CrossRef Full Text | Google Scholar

Sonu, M., Dhamaniya, A., Arkatkar, S., and Joshi, G. (2016). Time occupancy as measure of PCU at four legged roundabouts. Trans. Lett. Int. J. Trans. Res. 1–12. doi: 10.1080/19427867.2016.1154685

CrossRef Full Text | Google Scholar

Srikanth, S., and Mehar, A. (2017). A modified approach for estimation of passenger car units on intercity divided multilane highways. Arch. Trans. 42, 65–74. doi: 10.5604/01.3001.0010.0528

CrossRef Full Text | Google Scholar

Srikanth, S., and Mehar, A. (2018). Development of MLR, ANN and ANFIS Models for estimation of PCUs at different levels of service. J. Soft Comput. Civil Eng. 2–1, 18–35. doi: 10.22115/SCCE.2018.50036

CrossRef Full Text | Google Scholar

Sugiarto, S., Apriandy, F., Faisal, R., and Saleh, S. M. (2018). Measuring passenger car unit at four-legged roundabout using time occupancy data collected from drone. Aceh Int. J. Sci. Technol. 7, 77–84. doi: 10.13170/aijst.7.2.8587

CrossRef Full Text | Google Scholar

Szczuraszek, T. (1999). Analiza modeli stosowanych do przeliczania pojazdów rzeczywistych na pojazdy umowne. Zeszyty Naukowe Nr 223 Budownictwo 31, 83–98.

Google Scholar

Szczuraszek, T., Grzegorzewski, R., and Gust, M. (2007). Classification of type of vehicles into groups according to their length. Achiev. Civil Eng. 2, 387–402.

Szczuraszek, T., and Macioszek, E. (2010). Analiza rozkładów odstepów czasu pomiedzy pojazdami na obwiedni małych rond. Drogi i Mosty 3, 87–99.

Google Scholar

Tanyel, S., Caliskanelli, S. P., Aydin, M. M., and Utku, S. B. (2013). An investigation of heavy vehicle effect on traffic circles. Teknik Dergi 24, 6479–6504.

Google Scholar

Tracz, M., Chodur, J., Gaca, S., Gondek, S., and Kiec, M. (2004a). Metoda Obliczania Przepustowości Skrzyzowan z Sygnalizacja Swietlna. Instrukcja obliczania. Warszawa: Generalna Dyrekcja Dróg Krajowych i Autostrad.

Tracz, M., Chodur, J., Gaca, S., Gondek, S., and Kiec, M. (2004b). Metoda Obliczania Przepustowości Rond. Instrukcja Obliczania. Warszawa: Generalna Dyrekcja Dróg Krajowych i Autostrad.

Transportation Research Board (2010). Highway Capacity Manual 2010. Washington, DC: Transportation Research Board.

Webster, N., and Elefteriadou, L. (1999). A simulation study of truck passenger car equivalents (PCE) on basic freeway sections. Trans. Res. Part B 33, 323–336. doi: 10.1016/S0965-8564(98)00036-6

CrossRef Full Text | Google Scholar

Yong-Jae, L., In-Gyeong, L., and Min, D. (2010). Determination of Passenger car equivalents when estimating capacity at small 3-lag roundabouts. J. Korean Soc. Trans. 28, 65–74.

Google Scholar

Zhou, J., Rilett, L., Jones, E., and Chen, Y. (2018). Estimating passenger car equivalents on level freeway segments experiencing high truck percentages and differential average speeds. J. Trans. Res. Board 2672, 44–54. doi: 10.1177/0361198118798237

CrossRef Full Text | Google Scholar