scholarly journals Estimating Passenger Car Equivalent of Heavy Vehicles at Roundabout Entry Using Micro-Traffic Simulation

Author(s):  
Robert Pajecki ◽  
Faisal Ahmed ◽  
Xiaobo Qu ◽  
Xinyi Zheng ◽  
Yanqun Yang ◽  
...  
2015 ◽  
Vol 776 ◽  
pp. 95-100
Author(s):  
I. Gusti Raka Purbanto

Motorcycle dominates traffic in Bali, particularly in urban roads, which occupy more than 85% of mode share. The three types of vehicles, i.e. motorcycles, heavy and light vehicles share the roadways together. Under mixed traffic conditions, motorcycle may be travelling in between and alongside two consecutive motor vehicles. Considering such a situation, passenger car equivalent values should be examined thoroughly. This study aims to determine passenger car equivalent (PCEs) of motorcycle at mid-block of Sesetan Road. Three approaches are used to examine the PCEs values. This study found that the PCE of motorcycles are in a range between 0.2 and 0.4. This values are about the same to the existing PCE of the Indonesian Highway Capacity Manual (1997). This study also pointed out that motorcyclists and car drivers may behave differently to the existence of motorcycles. Car drivers are more aware than motorcyclists on the existence of motorcycle on the road. Further, more samples are required to obtain comprehensive results. In addition, the presence of heavy vehicles need to be considered for future study.


2017 ◽  
Vol 29 (2) ◽  
pp. 135-142 ◽  
Author(s):  
Habibollah Nassiri ◽  
Sara Tabatabaie ◽  
Sina Sahebi

Due to their different sizes and operational characteristics, vehicles other than passenger cars have a different influence on traffic operations especially at intersections. The passenger car equivalent (PCE) is the parameter that shows how many passenger cars must be substituted for a specific heavy vehicle to represent its influence on traffic operation. PCE is commonly estimated using headway-based methods that consider the excess headway utilized by heavy vehicles. In this research, the PCE was estimated based on the delay parameter at three signalized intersections in Tehran, Iran. The data collected were traffic volume, travel time for each movement, signalization, and geometric design information. These data were analysed and three different models, one for each intersection, were constructed and calibrated using TRAF-NETSIM simulation software for unsaturated traffic conditions. PCE was estimated under different scenarios and the number of approach movements at each intersection. The results showed that for approaches with only one movement, PCE varies from 1.1 to 1.65. Similarly, for approaches with two and three movements, the PCE varies from 1.07 to 1.99 and from 0.76 to 3.6, respectively. In addition, a general model was developed for predicting PCE for intersections with all of the movements considered. The results obtained from this model showed that the average PCE of 1.5 is similar to the value recommended by the HCM (Highway Capacity Manual) 1985. However, the predicted PCE value of 1.9 for saturated threshold is closer to the PCE value of 2 which was recommended by the HCM 2000 and HCM 2010.


Author(s):  
Sergio Henrique Demarchi ◽  
José Reynaldo Setti

Heavy vehicles can have a major impact on traffic streams, particularly on grades. Traditionally, these impacts have been expressed in terms of a passenger-car equivalent (PCE), which is used to convert a mixed traffic stream into a hypothetical passenger-car stream. When the stream contains more than one truck type and truck characteristics differ significantly, it would be desirable to derive PCEs for each truck type. Limitations of current methods of PCE derivation are discussed, and it is demonstrated that PCEs derived individually for each truck type account for only part of the impact caused by trucks on traffic. As a result, distortions are created in the estimation of equivalent flow rates when the traffic composition is different from the one used in the derivation of PCEs. A work-around solution based on the estimation of an aggregate PCE is discussed, and a quantitative analysis of the errors associated with the use of each type of PCE is presented. The results indicate that the errors in the estimation of equivalent flow rates are negligible for densities less than 10 veh/(km-lane) but increase significantly with the increase in density. Equivalent flow rates calculated with aggregate PCEs are not exempt from errors, especially if the traffic mix is different from the one used for the base stream, but these errors were found to be smaller than those caused by the use of PCEs derived individually for each truck type.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Pan Lu ◽  
Zijian Zheng ◽  
Denver Tolliver ◽  
Danguang Pan

Passenger Car Equivalent (PCE) is essential for transportation engineering to assess heavy vehicles’ (HV) impact on highway operations and capacity planning. Highway Capacity Manual 2010 (HCM 2010) used PCE values and percent of heavy vehicles to account the impacts on both highway planning and operation, however, PCE values in the latest version of HCM derived based on the steady and balanced two-lane-two-way (TLTW) traffic flows. The objective of the study is to identify PCE values for TLTW highway at various traffic volume with an emphasis on congestion conditions. This study introduces an analytical model, combining a headway-based and a delay-based algorithms, for estimating PCEs of HV on a TLTW highway. This study contributes to the literature by providing relationships among PCE, the traffic volume level (TVL) of both lanes, and the TVL duration on a TLTW highway. Traffic volume was categorized into five levels: TVL A (<250 pc/h), TVL B (250–375 pc/h), TVL C (375–600 pc/h), TVL D (600–850 pc/h), and TVL E (>850 pc/h). The results indicate that on a TLTW highway, the TVLs of both lanes and their durations have significant impact on PCE values. In general, PCE values increase as TVL duration increases. Trucks have much higher impacts on operation under unbalanced conditions of TVL A with D, TVL B with C, and TVL D with B, when duration time is greater than one hour. When both lanes are saturated, trucks’ effect on capacity diminishes over time, and PCE values are approaching to 1.0.


2021 ◽  
Author(s):  
Dmitri Nemchinov ◽  
Dmitri Martiakhin ◽  
Pavel Pospelov ◽  
Tatiana Komarova ◽  
Alexandr Mikhailov

Predicting the traffic capacity and its elements requires bringing the traffic flow represented by various vehicles to uniformity expressed in the equivalent number of passenger cars, through the use of the passenger car equivalent coefficients (PCE). The currently used in Russian Federation passenger car equivalent coefficients are taken on the basis of studies of the capacity of the Russian Federation, carried out in the 70s - 80s of the last century on rural roads, where most of the vehicles were heavy vehicles. Currently, the traffic flow is mostly represented by passenger cars. The riding qualities of cars, especially trucks, have changed significantly. This situation is especially common to Moscow. In this regard, the question of clarifying the traffic flow composition and revising the passenger car equivalent coefficients becomes relevant. The article presents the methodology and results of studies carried out on the route sections between road crossings to determine the passenger car equivalent coefficients and the traffic composition in Moscow.


2016 ◽  
Vol 14 ◽  
pp. 4190-4199 ◽  
Author(s):  
Orazio Giuffrè ◽  
Anna Grana ◽  
Sergio Marino ◽  
Fabio Galatioto

2018 ◽  
Vol 2 (01) ◽  
pp. 99
Author(s):  
Dikka Anggoro ◽  
Harnen Sulistio ◽  
Achmad Wicaksono ◽  
Sonya Sulistyono

Passenger car equivalents (PCE) is used in highway capacity analysis to convert a mixed vehicle flow into an equvalent passenger car flow. PCE value for a vehicle is not constant but varies with traffic and roadway conditions arround. In this study, PCE for motorcycle, light vehicle and heavy vehicle were developed at signalized intersection on saturation condition with and without countdown timer (CDT) in Malang City and to evaluate the value of analysis pcu and MKJI 1997 pcu. PCE data were collected at five intersection; Ciliwung, Dieng, BCA, L.A. Sucipto and Rampal intersection. A digital video camera was utilized for data collection and linier regresion method was used to calculate the PCE values. The analysis result shows for the average pcu value for the type of motorcycle (MC) at countdown timer on and off condition is 0,294 and 0,293. As for the types of heavy vehicles (HV) at countdown timer on and off conditions are 1.565 and 1.507. While to evaluate the pcu value, there is a significant difference between the value of pcu analysis results with the value of MKJI 1997 with a level of confidence in the significance of 95%. For percentage of motorcylce type (MC) if the percentage value of 75% the pcu value will increase. While for heavy vehicle type (HV) if the percentage is above 1.5% then the value of emp will increase because HV type has big dimension. Ekivalensi mobil penumpang (emp) digunakan untuk analisis kapasitas jalan. Nilai emp untuk kendaraan tidaklah konstan atau sama tetapi memiliki nilai yang bervariasi. Pada penelitian ini mencari nilai emp untuk jenis kendaraan sepeda motor (MC) dan kendaraan berat (HV) pada simpang bersinyal pada kondisi jenuh dengan menggunakan countdown timer (CDT) pada kondisi on dan off.  Data nilai emp dikumpulkan pada lima simpang di Kota Malang; Simpang Ciliwung, Dieng, BCA, L.A. Sucipto dan Rampal. Video kamera digunakan untuk merekam dan pengumpulan data dan untuk menghitung nilai emp menggunakan metode regresi linier. Hasil yang diperoleh menunjukan bahwa nilai rata-rata untuk sepeda motor pada kondisi CDT on dan off ialah 0,294 dan 0,293. Sedangkan untuk kendaraan berat (HV) untuk kondisi CDT on dan off ialah 1,565 dan 1,507. Sedangkan untuk evaluasi nilai emp terdapat perbedaan yang signifikan diantara nilai emp hasil analisis dengan nilai emp MKJI 1997 dengan tingkat kepercayaan sebesar 95%. Untuk persentase jenis MC, apabila persen kendaraan bermotor meningkat sebesar 75% maka nilai empnya akan meningkat. Sedangkan untuk HV, apabila persen kendaraan berat (HV) meningkat sebesar 1,5% maka nilai empnya akan meningkat dikarenakan dimensi yang besar.


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