Research on Transit Signal Priority Strategy of Single Intersection Based on V2X Environment

Zhang, Yi; Yang, Tangtao; Tan, Jiwen; Qiu, Tony Z.

doi:10.1109/ictis.2019.8883556

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…It usually cannot adapt to the dynamic changes of trafc conditions well, and it is very complicated to formulate rules when the timing plan is complex. Model-based TSP is attracting more attention in recent years [18,19].…”

Section: Introductionmentioning

confidence: 99%

A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants

Wang

et al. 2023

Journal of Advanced Transportation

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How to realize the game equilibrium between bus and nontransit vehicle is a hot topic in the field of transit signal priority (TSP). To this end, a collaborative transit signal priority (Co-TSP) method is proposed. The core of Co-TSP is a two-objective optimization problem which takes the expected delays of buses and the average delays of nontransit vehicles as the objectives. Different from previous studies, Co-TSP uses game theory to realize collaborative optimization, instead of transforming the problem into a single objective optimization problem by weighting. A finite state machine-based algorithm is developed to estimate the average delays of nontransit vehicles. The stochasticity of bus arrival time is also considered in the estimation of bus delays to improve the robustness. Candidate timing plans obtained by the nondominated sorting genetic algorithm (NSGA) are divided into three priority levels based on the delays of buses. The final timing plans can be picked intuitively from the candidates by rules representing expert knowledge and demands to control the priority level. Co-TSP guarantees theoretically by preliminary screening that the expected delays of bus after optimization must be no higher than that before optimization. Simulation experiments are conducted in Shanghai, China, to verify the performance. Results show that Co-TSP reduces the delays of buses by 27.7%∼41.0% and still performs well under low and high congestion levels, while the conventional TSP (CTSP) fails in some cases. Priority control proves to be effective at last. The research provides a new idea for the benefit allocation among participants at intersections.

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Section: Introductionmentioning

confidence: 99%

A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants

Wang

et al. 2023

Journal of Advanced Transportation

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“…With the support of V2X communication, the bus can send a priority request before entering the intersection and activate real-time signal priority control at the preceding intersection before the bus reaches the intersection. In this TSP strategy, the queuing time was estimated based on the traffic wave theory [4]. Wu et al established a cellular automata model with the greedy algorithm for the traffic control of intersections in an autonomous vehicle environment, with autonomous vehicle platoon as the optimization object.…”

Section: Introductionmentioning

confidence: 99%

Dissipation Characteristics of Vehicle Queue in V2X Environment Based on Improved Car-Following Model

Liang

et al. 2022

Mathematical Problems in Engineering

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In recent years, the technology of Internet of Vehicles has developed rapidly, among which vehicle to everything (V2X) technology is provided with a quite important promotion value in the intelligent transportation field. In V2X environment, the driver can receive real-time information of the motion status of adjacent vehicles and the signal duration of the intersection, and take the decision-making action of manipulating the vehicle in advance, which has a certain impact on the evolution process of queue dissipation. This paper studies the improved OV model based on V2X environment and considering the driver’s early response time selects the intersection queue dissipation efficiency as the index to analyze the intersection traffic efficiency and studies the impact of different initial headway, maximum speed, and safety distance on the intersection traffic flow. The simulation results show that compared with the traditional OV model and the OV model considering driver’s reaction delay, the model proposed in this paper greatly improves the efficiency of traffic flow recovery after green light, so the model proposed in this paper can promote the stability of traffic flow. The linear stability of the proposed model was analyzed by using the linear stability theory to obtain the stability conditions of the improved model. Furthermore, a simulation environment was established to analyze the vehicle queue dissipation at intersections and to simulate the improved V2X car-following model as well as the platoon dissipation state under different traffic parameters. The research results show that vehicle drivers can obtain traffic flow operation status in real-time through V2X equipment and change the operation of the vehicle itself in a targeted manner, which can significantly improve the safety and stability of traffic flow operation, and greatly raise the dissipation efficiency of the platoon. The method proposed in this paper can increase the queue dissipation rate and shorten the recovery time of the traffic system, respectively.

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Information and Communication Technology in Transit Signal Priority Systems: A Review

Ashwini¹,

Savithramma²,

Sumathi³

et al. 2023

Lecture Notes in Networks and Systems

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Research on Transit Signal Priority Strategy of Single Intersection Based on V2X Environment

Cited by 7 publications

References 6 publications

A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants

A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants

Dissipation Characteristics of Vehicle Queue in V2X Environment Based on Improved Car-Following Model

Information and Communication Technology in Transit Signal Priority Systems: A Review

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