Road Intersection Optimization Considering Spatial-Temporal Interactions Among Turning Movement Spillovers

Qi, Hongsheng; He, Zhengbing

doi:10.1109/tits.2020.3043274

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…Regarding the online traffic control, a hybrid approach combining the interacting-intersection optimization (i.e., optimizing the parameters such as the green time, the offsets and the phase sequences) and the link metering control was considered. The paper proposes a highly efficient approach traffic flow model to capture C-segment spillovers [47]. An optimization problem that takes C-segment spillovers into account is formulated as a nonlinear programming model, and it is solved by using a Markov chain Monte Carlo method.…”

Section: Model Of Queuing Length and Delay At Intersectionmentioning

confidence: 99%

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An Interactive Traffic Signal Optimization Approach with Dynamic Variable Guidance Lane Control

Zhao

Pan

et al. 2022

Journal of Advanced Transportation

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The purpose of setting up variable guidance lanes is to ease the traffic pressure on lanes with more traffic under the condition of ensuring the traffic capacity of the intersection. This study proposes a bi-level model-interactive relationship between variable guidance lane design and signal control and carry out a case study for a road in Wuhan, China. The design plan for the goal, combined with the design plan of the variable guidance lane, optimizes the signal timing plan of the intersection. A real case is modeled in VISSIM to simulate the design scheme of variable guidance lanes to verify the reliability and effectiveness of the bi-level model. The results showed that the average vehicle delay at the intersection was reduced by 20.65% after the bi-level model was optimized. The average error between model calculation results and simulation results is 9.88%. Moreover, the influencing factors of the proposed model are also carried out. The results show that when the traffic flow is greater than 1,000 pcu/h, the optimization effect of the model is more significant. When the traffic capacity gradually increases, the average vehicle delay calculated by the model is smaller. The design scheme and signal timing scheme proposed by the bi-level model can ensure the overall traffic efficiency of the intersection, improve the traffic efficiency of the traffic-stressed lanes, and further promote the space-time resource utilization of the intersection, optimize the space-time resources of the road network, and provide a scientific basis and new ideas and methods.

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Section: Model Of Queuing Length and Delay At Intersectionmentioning

confidence: 99%

“…Conversely, the lane capacity is negatively correlated with vehicle average delay, but it is positive with signal control cycle. Some problems related to the bi-level model need to be further studied and resolved [45,47]. In particular, the method proposed in this study is based on a single intersection.…”

Section: Conclusion Limitations and Future Researchmentioning

confidence: 99%