Traffic Dynamics of Vehicles Passing Each Other on Bidirectional Undivided Narrow Roads
- 1 November 2025
- journal article
- Published by Institute for Operations Research and the Management Sciences (INFORMS) in Transportation Science
- Vol. 59 (6) , 1214-1234
Abstract
This study investigates traffic dynamics on bidirectional undivided narrow roads. A novel heuristic-based passing (HP) model is proposed to microscopically model the complex passing maneuvers. Considering both perceived visual stimuli and steering imprecision, the model incorporates two heuristics that determine the driving direction and speed in the navigation of the most direct but unobstructed route. Real-world experiments analyzing the passing process of two vehicles on undivided narrow roads with varying widths were conducted. The results reveal that vehicles decelerated, veered toward the roadside to facilitate an oncoming vehicle’s passage and then readjusted to the center of the road, providing empirical support to the proposed HP model. In addition, as the road width increased, both the passing speed and clearance distance increased. The calibrated HP model could replicate the trajectories of the passing vehicles, demonstrating its accuracy. Real-world field observations were made at two undivided roads of varying widths and opposing traffic densities to investigate the macroscopic traffic patterns under the influence of lateral friction. The results showed that, on the undivided narrow road, when the traffic density in the travel direction was relatively low, the presence of high-density opposing traffic significantly reduced the speed of vehicles in the travel direction. Moreover, the proposed microscopic HP model well replicated the macroscopic traffic flow patterns. Overall, the results of this study enhance the understanding of traffic dynamics in the passing process on undivided narrow roads, offer insights for local road geometric design, and help identify sources of congestion evolution. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72288101, W2411064, 72471077]; the Anhui Provincial Natural Science Foundation [Grant 2408085ME117]; and the Research Grants Council of the Hong Kong Special Administrative Region, China [Grants R7027-18, T32-707/22-N]. S. C. Wong was also supported by the Francis S. Y. Bong Professorship in Engineering. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2024.0904 .Keywords
This publication has 21 references indexed in Scilit:
- Bicycle flow dynamics on wide roads: Experiments and simulationTransportation Research Part C: Emerging Technologies, 2021
- Factors affecting behavior of mobile phone use while driving and effect of mobile phone use on driving performanceAccident Analysis & Prevention, 2021
- Enhanced intelligent driver model for two-dimensional motion planning in mixed trafficTransportation Research Part C: Emerging Technologies, 2020
- Modeling the interactions of pedestrians and cyclists in mixed flow conditions in uni- and bidirectional flows on a shared pedestrian-cycle roadTransportation Research Part B: Methodological, 2020
- A two-dimensional car-following model for two-dimensional traffic flow problemsTransportation Research Part C: Emerging Technologies, 2020
- Experimental study and modeling of car-following behavior under high speed situationTransportation Research Part C: Emerging Technologies, 2018
- On some experimental features of car-following behavior and how to model themTransportation Research Part B: Methodological, 2015
- Towards automatic and robust adjustment of human behavioral parameters in a pedestrian stream model to measured dataSafety Science, 2012
- How simple rules determine pedestrian behavior and crowd disastersProceedings of the National Academy of Sciences, 2011
- Car following theory with lateral discomfortTransportation Research Part B: Methodological, 2007