Multi-objective traffic signal control model for traffic management

Long, Qiong; Zhang, J.-F.; Zhou, Zhanke

doi:10.1179/1942787515y.0000000002

Cited by 11 publications

(4 citation statements)

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“…They mainly rely on optimisation problems for the traffic light phase. Many recent solutions are based on deep reinforcement learning techniques [15][16][17][18][19][20][21] or again ARIMA processes [22].…”

Section: Introductionmentioning

confidence: 99%

Signalized and Unsignalized Road Traffic Intersection Models: A Comprehensive Benchmark Analysis

Ba,

Tordeux

2023

Coll Dyn

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Road traffic flow models allow the development and testing of intelligent transportation solutions. Macroscopic intersection models are especially relevant for the simulation of large traffic networks. In this article, we study four first-order signalized and unsignalized intersection models. The two unsignalized approaches are the first-in-first-out (FIFO) model (roundabout-type intersection) and an optimal non-FIFO model (highway-type intersection). The optimal control operates upstream for the first signalized intersection model. It occurs downstream for the second signalized model. All four models satisfy the expected physical constraints of vehicle conservation, traffic demand, and assignment. The models are minimal and allow a comprehensible analysis of the results. We determine mathematical relationships between the intersection models and empirically analyze the performances using Monte Carlo simulations. The numerical simulations assume random demand, supply, and assignment. Besides average performances, the approach accounts for the flow ranges of variation. A benchmark analysis compares the intersection models. We observe that the optimal signalized intersection models overcome the performances of the FIFO model in congested states. They may even reach the performances of the idealistic non-FIFO model. Further applications for the four intersection models are discussed.

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Section: Introductionmentioning

confidence: 99%

Signalized and Unsignalized Road Traffic Intersection Models: A Comprehensive Benchmark Analysis

Ba,

Tordeux

2023

Coll Dyn

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“…In the next stage, the researchers recalculated the optimum cycle length and delays using HSA, differential evolution (DE), and particle swarm optimization (PSO) algorithms, and obtained better results than Webster's. Long et al 11 proposed a traffic signal control model using Q‐learning (QL) algorithm. The signal control scheme of the intersection was produced in real‐time while considering the traffic management strategy.…”

Section: Introductionmentioning

confidence: 99%

Optimum cycle length models using atom search optimization and grasshopper optimization algorithms

Korkmaz

Akgüngör

2021

Concurrency and Computation

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A fixed‐time traffic control system is widely used to manage the traffic flow at intersections. Cycle length has an important effect on the performance of the fixed‐time control system and the Webster model is widely used in the literature to determine the cycle length. However, when the traffic flow ratio (Y) approaches 1, the Webster model loses its effectiveness and cannot determine the cycle length when Y is above 1. In the scope of this study, it is aimed to develop models that can predict cycle length for all traffic conditions in which are Y ≤ 1 and Y ≥ 1. Two different heuristic algorithms, atom search optimization (ASO) and grasshopper optimization algorithm (GOA) were used in the development of models and the performances of these algorithms were demonstrated. The efficiency of the developed models has been demonstrated by comparing them with both Webster's model and VISTRO optimization program. Models developed in exponential, power, and quadratic forms have been able to predict cycle lengths with lower delay values by showing better performance than Webster and VISTRO. In addition, statistical results show that the ASO approach is more successful than the GOA approach.

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“…This device did not require a complex mathematical model to simulate the state of traffic flow but did require artificial intelligence technology to simulate human-based traffic control of different traffic conditions, thus achieving real-time control. 12 Long et al 13 presented a multi-objective optimization model, considered the intentions of traffic managers, and used Q-learning to optimize them. Ma and He 14 proposed a green wave traffic control system and used an adaptive genetic-artificial fish swarm algorithm to obtain a satisfactory solution.…”

Section: Introductionmentioning

confidence: 99%

Intersection signal timing optimization considering the travel safety of the elderly

Liu

2019

Advances in Mechanical Engineering

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With the rapid growth of the elderly population in China, the proportion of middle-aged and elderly pedestrians crossing streets at signalized intersections has been increasing gradually, mandating the consideration of the crossing characteristics and travel safety of the elderly in signal matching. This article proposes a new signal control parameter optimization method for intersections based on an improved genetic algorithm. According to the crossing characteristics and travel safety of the elderly, the average vehicle delay is used as the control objective, and the green signal ratio and cycle time are used as control variables. The improved genetic algorithm with an improved fitness calibration method and an adaptive cross-mutation function is used to solve the signal control model. Based on the optimization analysis of traffic signal control parameters at a traffic intersection, the study shows that the improved signal control method can effectively reduce the average vehicle delay compared to the Webster algorithm and the traditional genetic algorithm.

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Multi-objective traffic signal control model for traffic management

Cited by 11 publications

References 1 publication

Signalized and Unsignalized Road Traffic Intersection Models: A Comprehensive Benchmark Analysis

Signalized and Unsignalized Road Traffic Intersection Models: A Comprehensive Benchmark Analysis

Optimum cycle length models using atom search optimization and grasshopper optimization algorithms

Intersection signal timing optimization considering the travel safety of the elderly

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