Signal Timing Optimization Based on Fuzzy Compromise Programming for Isolated Signalized Intersection

Yu, Duk Jun; Tian, Xiujuan; Xing, Xue; Gao, Shutao

doi:10.1155/2016/1682394

Cited by 22 publications

(20 citation statements)

References 15 publications

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“…Due to conflict among different objectives of TST optimization, some of the research in the literature considered multi-objective models to optimize the TST problem. References [76][77][78] refer to the problem of TST optimization with multi-objective models. Optimization of traffic capacity was the common objective among the above-mentioned studies.…”

Section: Multi-objective Based Approachesmentioning

confidence: 99%

State-of-art review of traffic signal control methods: challenges and opportunities

Qadri

Gökçe

Öner

2020

Eur. Transp. Res. Rev.

111

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Introduction Due to the menacing increase in the number of vehicles on a daily basis, abating road congestion is becoming a key challenge these years. To cope-up with the prevailing traffic scenarios and to meet the ever-increasing demand for traffic, the urban transportation system needs effective solution methodologies. Changes made in the urban infrastructure will take years, sometimes may not even be feasible. For this reason, traffic signal timing (TST) optimization is one of the fastest and most economical ways to curtail congestion at the intersections and improve traffic flow in the urban network. Purpose Researchers have been working on using a variety of approaches along with the exploitation of technology to improve TST. This article is intended to analyze the recent literature published between January 2015 and January 2020 for the computational intelligence (CI) based simulation approaches and CI-based approaches for optimizing TST and Traffic Signal Control (TSC) systems, provide insights, research gaps and possible directions for future work for researchers interested in the field. Methods In analyzing the complex dynamic behavior of traffic streams, simulation tools have a prominent place. Nowadays, microsimulation tools are frequently used in TST related researches. For this reason, a critical review of some of the widely used microsimulation packages is provided in this paper. Conclusion Our review also shows that approximately 77% of the papers included, utilizes a microsimulation tool in some form. Therefore, it seems useful to include a review, categorization, and comparison of the most commonly used microsimulation tools for future work. We conclude by providing insights into the future of research in these areas.

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Section: Multi-objective Based Approachesmentioning

confidence: 99%

State-of-art review of traffic signal control methods: challenges and opportunities

Qadri

Gökçe

Öner

2020

Eur. Transp. Res. Rev.

111

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“…Most of them are based on the creation and analysis of microscopic models. One of the interesting approaches to signal programming was introduced by Yu et al [1]. In order to optimize signal timing for isolated intersection, the authors proposed a new method based on fuzzy programming approach.…”

Section: Introductionmentioning

confidence: 99%

Design and evaluation of a new intersection model to minimize congestions using VISSIM software

et al. 2020

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AbstractTraffic modelling and simulation is one of the frequent tools used in road infrastructure design. Software tools designed for traffic simulations are an important supportive tool in decision-making and in choosing the optimal solution. The aim of this paper is to introduce the application of the VISSIM program, in the design and testing a model of the traffic-light-controlled intersection. The traffic on the selected congested intersection is modelled and simulated first for the current state, then for two models with modifications that are to increase the throughput of the intersection. The monitored criterion of the intersection throughput is the length of queues. Both adjustments have led to a significant reduction of the number of vehicles waiting in direction of the greatest congestions. In the first model, the average line length was reduced by 75%, and in the second model, the modifications lead to a fluent passage of right-turn vehicles and a significant reduction in vehicle lines for other directions.

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“…7,8 To address this issue, researchers have proposed many signal timing approaches with multi-objective. 9 For isolate intersection under oversaturated conditions, Li et al 10 formulated an optimization model, in which maximum capacity and minimum queue length were taken as the optimization objectives. Jiao et al 11 established a mathematical model to find the optimal signal timing schemes of intersection, and the model can apply to real-time traffic signal control system.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization algorithm

Jia

Lin

Luo

et al. 2019

Advances in Mechanical Engineering

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Currently, signal control mode is the main control method of urban road intersections. Given that the traffic efficiency of road intersections is mainly affected by signal timing schemes, it is important to optimize signal timing at road intersections. Therefore, signal timing optimization methods of urban road intersections are explored in this work. When optimizing the timing of the signal at the intersections, the selection of optimization targets play an important role. At present, there are multiple objectives considered while designing signal timing scheme, including capacity, delays, and automobile exhaust. However, from the perspective of the traveler, they are more concerned about their own delay while passing intersections. In this work, we propose a novel multi-objective signal timing optimization model with goals of per capita delay, vehicle emissions, and intersection capacity. Considering the problem characteristics of the target problem, a meta-heuristic algorithm combining difference operator, which is based on Particle Swarm Optimization Algorithm, is developed. To test the validity of proposed approach, we applied it to real-world intersection signal timing problems in China. The results show that the optimized signal timing scheme obtained by the proposed algorithm is better than the realistic one. Also, the effectiveness of the developed algorithm is demonstrated by comparing it with other efficient algorithms.

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Signal Timing Optimization Based on Fuzzy Compromise Programming for Isolated Signalized Intersection

Cited by 22 publications

References 15 publications

State-of-art review of traffic signal control methods: challenges and opportunities

State-of-art review of traffic signal control methods: challenges and opportunities

Design and evaluation of a new intersection model to minimize congestions using VISSIM software

Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization algorithm

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