Developing Improved Truck Passenger Car Equivalent Values at Signalized Intersections

Skabardonis, Alexander; Dowling, Richard; Kiattikomol, Vasin; Safi, Chirag

doi:10.3141/2461-15

Cited by 12 publications

(2 citation statements)

References 3 publications

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“…Another approach concerns the calculation of the PCE value based on the rate of the vehicles served in queue during a green light time period and that it could be minimum if only passenger vehicles are in queue as mentioned by Al-Kaisy et al (2002) and Praveen and Arasan (2013). Finally, Skabardonis et al (2014), highlighted the difficulty of the methodology proposed by the Transportation Research Board (2010) regarding the calculation of saturation flow in at-grade signalized intersections and concluded that the PCE value is dependent on the characteristics of the commercial vehicles, their percentage in the total amount of traffic and the vertical alignment of the road segments under study.…”

Section: Introductionmentioning

confidence: 99%

Passenger Car Equivalent Value for Commercial Vehicles: A New Approach

Bouhouras

Basbas

2021

Period. Polytech. Transp. Eng.

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Within the framework of the present paper an attempt has been made to develop a methodology for the calculation of a Passenger Car Equivalent (PCE) factor in order to express the number of commercial vehicles in the equivalent number of passenger cars. The methodology is based on the Highway Capacity Manual, the examination of the international literature and an extended field survey. The research area is the Municipality of Thessaloniki, Greece and specifically 27 at-grade, signalized intersections which were examined. The field survey was performed during two time-periods in order a comparison to be possible.

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Section: Introductionmentioning

confidence: 99%

Passenger Car Equivalent Value for Commercial Vehicles: A New Approach

Bouhouras

Basbas

2021

Period. Polytech. Transp. Eng.

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“…Cao and Sano proposed the motorcycle equivalent unit in place of the PCU for urban roads in Hanoi, Vietnam, because of the predominance of motorcycles rather than passenger cars in the traffic stream (11). In a recent study, Skabardonis et al derived a methodology to determine improved PCE factors for trucks at signalized intersections by using field data and simulation (12). They suggest that the PCE value is very sensitive to the proportion of trucks, truck types, and intersection approach grade, and hence a single value of PCE as suggested by the HCM 2010 needs to be modified with new combined heavy-vehicle and grade adjustment factors (13).…”

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confidence: 99%

Conceptual Approach for Estimating Dynamic Passenger Car Units on Urban Arterial Roads by Using Simultaneous Equations

Dhamaniya

Chandra

2016

Transportation Research Record

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This study demonstrates that passenger car unit (PCU) values for a vehicle are not static and vary with traffic volume and composition. Data collected at eight urban arterial roads in India were analyzed to explain the dynamic nature of the PCU factor. All vehicles in the traffic stream were divided into five categories, and simultaneous equations were developed to determine the speed of a vehicle type from information on traffic volume and composition. These equations were used to show the variation in PCU values with traffic volume and composition on a road. The change in PCU values was explained on the basis of the relative interaction of vehicle type in the traffic stream at different volume levels. A proposed range of PCU values for big vehicles was from 1.47 to 1.65 for big cars and for heavy vehicles from 5.51 to 6.54, respectively, when their proportions in the mix remained within an observed range in the field. Similarly, a range of PCU values for motorized three-wheelers of 0.99 to 1.01 and a set of PCU values for motorized two-wheelers of 0.20 to 0.23 were obtained. Accuracy of the PCU values estimated through simultaneous equations was checked by comparing the estimated values with those calculated directly from the field data. Statistical testing showed that there was no significant difference between field-estimated and model-predicted PCU values. Further, the speed–volume relationships developed by using two sets of PCU factors yielded the capacity values with a difference of less than 2%; this result indicates the correctness of the methodology in this study.

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