Flow-balanced-based collaborative strategies and simulation of vehicle group behaviors for on-ramp areas

Zheng, Shimin; Li, Haijian; Huang, Z. Rena; Li, Keyi; Qin, Lingqiao

doi:10.1016/j.simpat.2020.102093

Cited by 5 publications

(2 citation statements)

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“…e comparison results are shown in Table 1. First of all, the traffic flow through the detection node is analyzed according to the traffic flow state under different conditions [30]. e comparison results are shown in Table 1.…”

Section: Simulation Results Of Flow-balance Strategies Formentioning

confidence: 99%

“…However, few studies have addressed merging and diverging induction strategies for vehicle groups of ramp areas in the connected vehicle environment. In our previous work, based on VISSIM, we have discussed merging collaborative strategies and simulation for on-ramp areas [30]. To improve the efficiency of the off-ramp in the connected vehicle environment, this paper focuses on the problem of group collaborative lane-changing behaviors of off-ramp vehicles and through vehicles in off-ramp areas and proposes four kinds of vehicle group collaborative strategies based on different road space balance conditions.…”

Section: Introductionmentioning

confidence: 99%

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Collaborative Strategies and Simulation of Vehicle Group Behaviors for Off-Ramp Areas

Zhang

et al. 2020

Journal of Advanced Transportation

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With the increase of vehicle ownership and the rapid growth of urban traffic, the problem of congestion in the off-ramp area of the main expressway has become the main factor restricting overall section efficiency and inducing traffic accidents. This paper focuses on the problem of group collaborative lane-changing behaviors of off-ramp vehicles and through vehicles in off-ramp areas and proposes four kinds of vehicle group collaborative strategies based on different road space balance conditions. According to a three-lane expressway scene, a VISSIM-based simulation model is built and the optimization scheme is simulated and evaluated. The simulation results show that with the increase of traffic flow in off-ramp areas, a flow-balance strategy for downstream lanes where off-ramp vehicles merge with the outside lane in advance is more advantageous. When vehicles are leaving the main road, if traffic flow is heavy, the flow-balance strategy for lanes where off-ramp vehicles merge with the outside lane in advance (for example, the proportion of off-ramp vehicles in three lanes is 0 : 0 : 1) is better; otherwise, when the traffic flow on the main road is relatively small, the flow-balance strategy for lanes where off-ramp vehicles are distributed in lanes with different ratios (e.g., 1 : 3 : 6) is better. What is more, for future traffic management in connected vehicle environments, it can be concluded that collaborative vehicle lane-changing strategies with different traffic flow states can help to enhance traffic efficiency.

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Section: Simulation Results Of Flow-balance Strategies Formentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%