Advanced Information Feedback Coupled with an Evolutionary Game in Intelligent Transportation Systems

Dong, Chuanfei; Chen, Yuxi; Ma, Xu; Chen, Bokui

doi:10.1007/978-3-319-11674-7_2

Cited by 3 publications

(1 citation statement)

References 52 publications

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“…TTFS, MVFS and CCFS were three typical information feedback strategies. Subsequently, many improved strategies were proposed based on the above three kinds of feedback strategies, for example, prediction feedback strategy [4], corresponding angle feedback strategy [5], weighted vehicle density feedback strategy (WVDFS) [6], mean velocity difference feedback strategy and congestion coefficient difference feedback strategy [7], vacancy length feedback strategy [8], flux feedback strategy including time flux feedback and space flux feedback [9], and exponential function feedback strategy [10], tour-time feedback strategy [11]. In addition, Zhao et al [12] introduced a bounded rational threshold into existing feedback strategies to improve their efficiency in terms of their capacity, oscillation, and deviations from the equilibrium.…”

Section: Introductionmentioning

confidence: 99%

Route Guidance Strategy for Heterogeneous Traffic Flow in an Asymmetric Two-Route Scenario

Liu¹,

Han²

2018

dtcse

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During serious emergencies or congestion, it is very important to alleviate road traffic congestion and improve the road capacity to reduce casualties. Most of the advanced route guidance strategies have been developed for homogeneous traffic flows, to reduce traffic congestion and enhance the road capacity in a symmetric multi-route scenario. Information guidance strategies have rarely been considered for heterogeneous traffic flows, including different types of vehicles with variable velocities and sizes in an asymmetric multi-route traffic system. In this study, we propose a weighted road occupancy feedback strategy (WROFS) for heterogeneous traffic flows including large vehicles and small vehicles, which considers the characteristics of different types of vehicles, such as, maximum speed, sizes and position, using real-time information feedback technology to guide traffic flow. Based on comparisons with the two previously proposed advanced strategies, the simulation results obtained in an asymmetric two-route traffic scenarios demonstrate that the proposed strategy improves the road capacity, balances traffic states on two routes, achieves better spatial distribution of traffic flow and enhances the stability of traffic flow about flux, average speed and the number of vehicles.

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Section: Introductionmentioning

confidence: 99%

Route Guidance Strategy for Heterogeneous Traffic Flow in an Asymmetric Two-Route Scenario

Liu¹,

Han²

2018

dtcse

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Evolutionary Game Analysis of Urban Transportation Mode Choice with Government Participation

Huang

et al. 2020

Cictp 2020

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Dynamic route guidance strategy in a two-route pedestrian-vehicle mixed traffic flow system

Liu

Xiong

2016

Int. J. Mod. Phys. C

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With the rapid development of transportation, traffic questions have become the major issue for social, economic and environmental aspects. Especially, during serious emergencies, it is very important to alleviate road traffic congestion and improve the efficiency of evacuation to reduce casualties, and addressing these problems has been a major task for the agencies responsible in recent decades. Advanced road guidance strategies have been developed for homogeneous traffic flows, or to reduce traffic congestion and enhance the road capacity in a symmetric two-route scenario. However, feedback strategies have rarely been considered for pedestrian-vehicle mixed traffic flows with variable velocities and sizes in an asymmetric multi-route traffic system, which is a common phenomenon in many developing countries. In this study, we propose a weighted road occupancy feedback strategy (WROFS) for pedestrian-vehicle mixed traffic flows, which considers the system equilibrium to ease traffic congestion. In order to more realistic simulating the behavior of mixed traffic objects, the paper adopted a refined and dynamic cellular automaton model (RDPV_CA model) as the update mechanism for pedestrian-vehicle mixed traffic flow. Moreover, a bounded rational threshold control was introduced into the feedback strategy to avoid some negative effect of delayed information and reduce. Based on comparisons with the two previously proposed strategies, the simulation results obtained in a pedestrian-vehicle traffic flow scenario demonstrated that the proposed strategy with a bounded rational threshold was more effective and system equilibrium, system stability were reached.

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Advanced Information Feedback Coupled with an Evolutionary Game in Intelligent Transportation Systems

Cited by 3 publications

References 52 publications

Route Guidance Strategy for Heterogeneous Traffic Flow in an Asymmetric Two-Route Scenario

Route Guidance Strategy for Heterogeneous Traffic Flow in an Asymmetric Two-Route Scenario

Evolutionary Game Analysis of Urban Transportation Mode Choice with Government Participation

Dynamic route guidance strategy in a two-route pedestrian-vehicle mixed traffic flow system

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