MTGPLP Approach for Traffic Signal Intelligent Control

Li, Ya; Liu, Renhuai; Zou, Yuanyang; Ma, Yingshuang; Wang, Guoxin

doi:10.1155/2020/8603598

Cited by 2 publications

(1 citation statement)

References 61 publications

(71 reference statements)

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“…By using V2I communication as a new kind of traffic detection technology, accurate and rich information becomes available for traffic control, thus making it possible to further improve traffic efficiency. Nowadays, based on V2I technology, many studies on traffic signal control [9][10][11][12][13] and intersection efficiency improvement [14,15] have been conducted. When it comes to how to use this rich information from V2I communication, one typical method is model predictive control (MPC).…”

Section: Introductionmentioning

confidence: 99%

Vehicle-to-Infrastructure-Based Traffic Signal Optimization for Isolated Intersection

et al. 2023

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Traffic signal control is critical for traffic efficiency optimization but is usually constrained by traffic detection methods. The emerging V2I (Vehicle to Infrastructure) technology is capable of providing rich information for traffic detection, thus becoming promising for traffic signal control. Based on parallel simulation, this paper presents a new traffic signal optimization method in a V2I environment. In the proposed method, a predictive optimization problem is formulated, and a cellular automata model is employed as traffic flow model. By using genetic algorithm, the predictive optimization problem is solved online to implement receding horizon control. Simulation results show that the proposed method can improve traffic efficiency in the sense of reducing average delay and number of stops. Meanwhile, simulation also shows that greater communication range brings better performance for reducing the average number of stops. Simulation results show that the proposed V2I-based signal control method can improve traffic efficiency, especially when the traffic volume is relatively high. The proposed algorithm can be applied to traffic signal control to improve traffic efficiency.

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Section: Introductionmentioning

confidence: 99%

Vehicle-to-Infrastructure-Based Traffic Signal Optimization for Isolated Intersection

et al. 2023

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Presentation of Analytical Methods for Better Decision Making about the Most Important Factor Influencing Rural Accidents

Hosseinian

Gilani

Amoli

et al. 2021

Mathematical Problems in Engineering

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Due to population growth and the increasing number of vehicles on rural roads, traffic accidents have become one of the most important problems in the transportation system, which greatly affects the social and economic situation of the people. The main purpose of this study was to apply the analytical method to investigate the factors affecting the severity of traffic accidents on rural roads of Guilan, Iran, in order to determine the most effective factor in the occurrence of these accidents. At first, the frequency analysis was used to evaluate the variables and their frequency, then the Friedman test (FT) was applied to prioritize the factors, and the exploratory factor analysis (EFA) was used to determine the most effective factor in the occurrence of vehicle accidents in Guilan rural roads. Based on the FT, weather condition was the most important factor effective in these accidents. According to the results of the EFA, five factors were identified as the main factors involved in accidents in which the first factor contributing to accidents was the environmental factor, including weather condition and road surface condition. This indicates that concurrent result of the FT and the EFA, weather condition as an environmental factor, was identified as the most important factor affecting vehicle accidents on rural roads of Guilan. Finally, safety strategies were proposed to increase safety and reduce accidents along these roads.

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MTGPLP Approach for Traffic Signal Intelligent Control

Cited by 2 publications

References 61 publications

Vehicle-to-Infrastructure-Based Traffic Signal Optimization for Isolated Intersection

Vehicle-to-Infrastructure-Based Traffic Signal Optimization for Isolated Intersection

Presentation of Analytical Methods for Better Decision Making about the Most Important Factor Influencing Rural Accidents

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