Finite Mixture Distribution Method to Model Vehicle Headways at Port Collector-Distributor Roads
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 12
Abstract
This study aims to model vehicle headways comprising non-free flow headways (i.e., headways under non-free flow traffic conditions) and free flow headways (i.e., headways under free flow traffic conditions) on port collector-distributor roads using the finite mixture distribution method with two mixture components. Three combinations of leader-follower vehicles were found to be statistically different. Six factors, consisting of truck percentage, traffic flow rate, weather, curbside parking, light condition, and road pavement condition were considered as influencing factors. Model comparison results indicate that the finite mixture distribution model outperforms the single distribution model. Results show that rainy days, curbside parking, poor light condition, and poor pavement performance are associated with an increased mean headway for car-car, car/truck, and truck-truck types. The headways of these three types are generally higher for the bigger traffic flow rate, while a larger truck percentage can decrease the mean headway for car-truck and truck-truck types.
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Data Availability Statement
Some data, models, and code generated or used during the study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors sincerely thank anonymous referees for their helpful comments and valuable suggestions, which considerably improved the exposition of this work. This study is supported by the National Natural Science Foundation of China (Grant No. 71871137), and is also sponsored by the Shanghai Education Development Foundation and the Shanghai Municipal Education Commission (Grant No. 16SG41).
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 147 • Issue 12 • December 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Mar 1, 2021
Accepted: Jul 19, 2021
Published online: Sep 22, 2021
Published in print: Dec 1, 2021
Discussion open until: Feb 22, 2022
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