Optimization Scheme of Tradable Credits and Bus Departure Quantity for Travelers’ Travel Mode Choice Guidance

Zhou, Fang; Wu, Jianhui; Xu, Yan; Yi, Chunhai

doi:10.1155/2020/6665161

Cited by 5 publications

(2 citation statements)

References 38 publications

(23 reference statements)

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“…Model (6)~( 12) is a non-linear mixed integer bilevel programming problem, which is extremely difficult to solve and includes NP-hard optimization problems [30][31][32]; further-more, a particle swarm optimization algorithm can usually be used to solve the problem. The detailed solution steps are as follows:…”

Section: Model Solutionmentioning

confidence: 99%

Reversible Lane Optimization of the Urban Road Network Considering Adjustment Time Constraints

Cai

Xiao

et al. 2023

Sustainability

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Reversible lanes constitute an important solutions for sustainable transportation, with the aim to solve the practical problem of reversible lane optimization of urban road networks constrained by adjustment time. Considering the relationship between the number of lanes and the capacity of sections, a mixed-integer bilevel programming model of reversible lane optimization constrained by adjustment time is constructed in order to minimize the total travel time of the system. The results show that the model can effectively obtain the optimal strategy for any number of reversible sections subject to adjustment time constraints. With the increase of the number of reversible sections that can be optimized within the adjustment time, the cumulative reduced system time increases monotonically and the road network optimization effect improves, but as a whole, the optimization effect of the newly added reversible sections in each stage shows a decreasing trend. When the number of reversible sections that can be optimized within the adjustment time reaches a certain number, increasing the number of reversible sections will have a limited further effect on the overall system. For the reversible lane optimization problem of urban road networks, only efficient reversible sections need to be optimized to achieve a good optimization effect.

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Section: Model Solutionmentioning

confidence: 99%

Reversible Lane Optimization of the Urban Road Network Considering Adjustment Time Constraints

Cai

Xiao

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Considering the complexity of the solution process for the optimization model of nonlinear mixed-integer bilevel programming problem which includes NP-hard optimization problems (e.g., Karshenas et al [29], Wang et al [30], Zhou et al [31], and Shi et al [32]), we propose a chaotic particle swarm optimization algorithm, which is a parallel algorithm, starts from the random solution, and finds the optimal solution through iteration. e detailed steps are described as follows:…”

Section: Model Solutionmentioning

confidence: 99%

Optimization of the Reversible Lane considering the Relationship between Traffic Capacity and Number of Lanes

Cai

et al. 2022

Journal of Advanced Transportation

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To make full use of road resources, improve the operation efficiency of the road network system, and alleviate the coexistence between traffic congestion and road resources idle caused by the traffic tidal phenomenon, the impact of the number of lanes on traffic capacity is examined, and the mixed-integer bilevel programming model for reversible lane optimization is established with the aim to minimalize the total travel time of the system. Taking a test road network as an example, the influence of the reversible lane optimization on characteristic values of sections, the route travel time between OD pairs, and the total time of the system are analyzed. The results indicate that the reversible lane optimization can make full use of the idle road resources and make the road network structure match the travel demands better, and the system index after the reversible lane optimization is obviously better than the original system index.

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Effects of second-best tradable credit scheme on transportation network for travel mobility management

Chai

Wang

et al. 2022

Transportmetrica A: Transport Science

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Optimization Scheme of Tradable Credits and Bus Departure Quantity for Travelers’ Travel Mode Choice Guidance

Cited by 5 publications

References 38 publications

Reversible Lane Optimization of the Urban Road Network Considering Adjustment Time Constraints

Reversible Lane Optimization of the Urban Road Network Considering Adjustment Time Constraints

Optimization of the Reversible Lane considering the Relationship between Traffic Capacity and Number of Lanes

Effects of second-best tradable credit scheme on transportation network for travel mobility management

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