Volume 39 Issue 1
Feb.  2021
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SUN Lishan, CHEN Yingda, KONG Dewen, ZHANG Tong, SONG Yongchang. A Simulation Evaluation of Traffic Flow Efficiency of Urban Expressways under Cooperative Vehicle-infrastructure Scenarios[J]. Journal of Transport Information and Safety, 2021, 39(1): 155-163. doi: 10.3963/j.jssn.1674-4861.2021.01.0018
Citation: SUN Lishan, CHEN Yingda, KONG Dewen, ZHANG Tong, SONG Yongchang. A Simulation Evaluation of Traffic Flow Efficiency of Urban Expressways under Cooperative Vehicle-infrastructure Scenarios[J]. Journal of Transport Information and Safety, 2021, 39(1): 155-163. doi: 10.3963/j.jssn.1674-4861.2021.01.0018

A Simulation Evaluation of Traffic Flow Efficiency of Urban Expressways under Cooperative Vehicle-infrastructure Scenarios

doi: 10.3963/j.jssn.1674-4861.2021.01.0018
  • Received Date: 2020-12-18
  • Publish Date: 2021-02-28
  • This paper collects and extracts vehicle trajectory data on the road section of Sifang Bridge in Beijing during the morning peak hour to study impacts of the cooperative vehicle-infrastructure system(CVIS)on expressways under different levels of information interaction between vehicles. Driving behaviors of vehicles are analyzed under the vehicle-road collaboration scenario to calibrate parameters of the conventional driving scenes and information interaction scenes for driving models. The ratios of vehicles running at desired speed, transverse vehicle distance contraction, longitudinal vehicle distance contraction, and traffic capacity expansion are selected to evaluate operating efficiency of the vehicles, and the ratio of vehicle lateral offset distance reduction is selected as an index to evaluate space occupancy rate in the vehicle-road collaboration scenario. A simulation model is developed to analyze the impacts of different levels of information interaction on traffic flow. The results show that vehicle operation efficiency increases with an improved level of information interaction, and improvement of road capacity is the most significant. When the level of information interaction increased from level 4 to level 1, the traffic capacity is expanded by 19.42%, 28.06%, 46.48%, and 74.62%, respectively, and the rest of the index values are slightly improved during the simulation period. The vehicle lateral offset distance under the information interaction scenario is reduced, and the reduction ration is 17.33% under the scenario of level 1 information interaction. It indicating that the lateral safety of the vehicle under the same lane width is improved.

     

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