Developing passenger car equivalents for heavy vehicles on freeways during queue discharge flow |
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| Institution: | 1. Department of Civil Engineering and Construction, Bradley University, 1501 West Bradley Avenue, Peoria, IL 61625, USA;2. McMaster University, Hamilton, Ont., Canada;1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;2. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China;3. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China;1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;2. State Key Lab of Astronautical Dynamics of China, Xi׳an 710043, China;3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;4. Guangdong Provincial Key Lab of Petrochemical Equipment Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming 525000, China;1. School of Civil and Construction Engineering, Oregon State University, 211 Kearney Hall, Corvallis, OR 97331-3212, United States;2. School of Civil and Construction Engineering, Oregon State University, 309 Owen Hall, Corvallis, OR 97331-3212, United States;1. Senior Scientist, Transportation Planning Division, CSIR-Central Road Research Institute, New Delhi 10025;2. Senior Scientist, Traffic Engineering and Safety Division, CSIR-Central Road Research Institute, New Delhi 10025;3. Senior Principal Scientist and Head, Traffic Engineering and Safety Division, CSIR-Central Road Research Institute, New Delhi 10025;4. Principal Scientist, Pavement Evaluation Division, CSIR-Central Road Research Institute, New Delhi 110025;5. Senior Principal Scientist, Pavement Evaluation Division, CSIR-Central Road Research Institute, New Delhi 10025;1. Beijing Key Laboratory of Traffic Engineering and the College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China;2. Beijing Research Center of Urban System Engineering, Beijing, 100035, China;3. Beijing Police College, Beijing, 102202, China;4. Texas Department of Transportation, Austin, TX, 78717, United States;5. Beijing General Municipal Engineering Design & Research Institute Co., Ltd, Beijing, 100082, China |
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| Abstract: | This paper investigates the hypothesis that the effect of heavy vehicles on traffic is greater during congestion than during undersaturated conditions. A new approach was developed to quantify this effect by deriving passenger car equivalents (PCEs) using queue discharge flow (QDF) capacity as the equivalency criterion. This approach is based on the premise that QDF capacity observations can be expected to show minimal variation if traffic stream was uniform and consisted of passenger cars only. Two sites in Ontario, Canada were used for this research. The first is located at an entrance ramp merge area and the second at a long-term freeway reconstruction zone. Nonlinear programming was utilized to perform optimizations on a number of data sets at each site. Results strongly suggest that the research hypothesis is true and that the approach developed by this research is both plausible and feasible. The mean PCE factor at the first site was 2.36 versus 1.5 in the Highway Capacity Manual (HCM) 2000. At the second site, the mean PCE factors in the two directions of travel were 3.21 and 2.7 versus 2.0 in the HCM 2000. Results also showed that the PCE factor developed from the optimization runs behaves as a random variable that generally follows the normal distribution. Furthermore, the PCE factor was neither a function of weather conditions nor of roadside maintenance work. |
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