01667472

Component

https://doi.org/10.1177/0361198118758638

https://doi.org/10.1177/0361198118758638

Traffic volume is a fundamental measurement in traffic analyses. In mixed traffic, vehicles vary in size, length, headway, spacing, and acceleration/deceleration. Therefore, if we can categorize the vehicles in mixed traffic in greater detail, the estimated passenger car equivalent (PCE) number will be more accurate. Practical and appropriate methods that convert different vehicles into the equivalent number of passenger cars need to be employed to determine PCE factors for heterogeneous traffic. Following economic growth and increased use of motor vehicles in developing countries, the purchase of sports utility vehicles (SUVs) continues to grow, though the government encourages people to buy small cars because of the limited road capacity, as well as air pollution problems. In this research, we categorize passenger cars into three subsets: small cars (hatchback cars without a trunk), SUVs, and standard cars (taxis and typical family cars). A field investigation shows that the penetration rates of these passenger cars are 12%, 23%, and 55%, respectively (10% are other vehicles) in Hangzhou, China. We also measure the PCE value for small cars and SUVs using the mean time headway method. Because different countries have different weather conditions, we continue to measure the PCE values for sunny days and moderate rainy days. The results show that PCE values for small cars and SUVs are 0.87 and 1.26 on sunny days, and 0.87 and 1.31 on rainy days, respectively. By using the PCE with high precision, urban managers can accomplish the analysis of urban traffic with greater accuracy.

18-04359

English

pp 110-119

2018

Transportation Research Record: Journal of the Transportation Research Board

Print

Figures (4) ; Maps; Photos; References (28) ; Tables (10)

Compact automobiles; Sport utility vehicles; Traffic volume; Vehicle mix; Vehicle size; Weather conditions

Highways; Operations and Traffic Management; Policy

TRIS, TRB, ATRI

Dec 22 2017 10:38AM

• Cyclist Satisfaction Evaluation Model for Free-Floating Bike-Sharing System: A Case Study of Shanghai
• How Operators’ Legal Status Affects Safety of Intercity Buses in Thailand
• Impact of Curbside Parking on Bicycle Lane Capacity in Nanjing, China
• Influence of Socioeconomic Conditions on Crash Injury Severity for an Urban Area in a Developing Country
• Interactions between Driving Skills on Aggressive Driving: Study among Chinese Drivers
• Macroscopic Spatial Analysis of Pedestrian Crashes in Medellin, Colombia
• Modeling Pedestrian Crossing Behavior and Safety at Signalized Intersections
• Modeling the Gender Effects of Pedestrians and Calibration of the Modified Social Force Model
• Performance Comparison of Bus Travel Time Prediction Models across Indian Cities
• Study on the Invasion Behavior of E-Bikes with Motor Vehicle Traffic at a Signalized Intersection
• Using Open Source Data to Measure Street Walkability and Bikeability in China: A Case of Four Cities