scholarly journals Investigation of Self-Organizing Traffic Signal Control with Graphical Signal Performance Measures

2017 ◽  
Vol 2620 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Christopher M. Day ◽  
Darcy M. Bullock
Keyword(s):  
Performance Measures ◽  
Local Control ◽  
Coordinated Control ◽  
Signal Control ◽  
Traffic Signal Control ◽  
System Control ◽  
Control Logic ◽  
Total Delay ◽  
The Right ◽  
Self Organizing

Adaptive signal control is the subject of an increasing amount of research, development, and implementation. Most existing adaptive control systems achieve coordination by applying system control as a constraining layer on top of local control. Some researchers have suggested that, with the right local control logic, coordination might be achieved as a dynamically emergent phenomenon without the need for a management layer. This paper describes how the potential of a self-organizing signal control algorithm was explored with various performance measures. First, the initially reported algorithm performance was reproduced in an idealized environment; next, the algorithm was applied in a realistic road network to compare its performance with that of actuated coordinated control, with and without pedestrian phases. Comparisons were made under ( a) the same base volumes used to design the actuated coordinated timing plan and ( b) variant volumes. Self-organizing control was found to be more flexible than coordinated control and induced a performance trade-off between movement types. Delay reductions of 38% to 56% were observed in an environment with no pedestrian phase. However, with pedestrian phases in recall, self-organizing control performed worse (39% increase in delay) under base volumes and achieved a weak benefit (6% reduction in delay) under variant volumes. Because of the large total delay reductions in some scenarios, the results show promise for future development.

Modeling and Simulation of Urban Arterial Traffic Signal Coordinated Control

2014 ◽  
Vol 543-547 ◽  
pp. 1417-1422
Author(s):  
Wei Li ◽  
Xin Bi ◽  
Yun Xia Cao ◽  
Jin Song Du
Keyword(s):  
Traffic Congestion ◽  
Control Method ◽  
Coordinated Control ◽  
Traffic Monitoring ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Monitoring And Control ◽  
Total Delay ◽  
Arterial Traffic ◽  
Urban Arterial

Traffic congestion is a major concern for many cities throughout the world. Developing a sophisticated traffic monitoring and control system would result in an effective solution to this problem. In order to reduce traffic delay, a novel urban arterial traffic signal coordinated control method is presented. The total delay of downstream and upstream vehicles is considered and the function describing the relationship between vehicles delay and signal offset among intersections is established. Finally, comparing the performance of traffic signal under method proposed in this paper with the traditional isolated traffic signal control method, the microscopic simulation results show that the method proposed in this paper has better performance in the aspect of reducing the vehicles delay. The offset model is tested in a simulation environment consisting of a core area of three intersections. It can be concluded that the proposed method is much more effective in relieving oversaturation in a network than the isolated intersection control strategy.

Resonant Cycles in Traffic Signal Control

2005 ◽  
Vol 1925 (1) ◽  
pp. 215-226 ◽  
Author(s):  
Steven G. Shelby ◽  
Darcy M. Bullock ◽  
Douglas Gettman
Keyword(s):  
Time Of Day ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
System Control ◽  
Additional Time ◽  
Cycle Times ◽  
Control Practice ◽  
Time Space ◽  
Cycle Lengths

The potential benefits of using resonant cycle times in traffic signal control on an arterial are investigated. Resonant cycles are cycle lengths that result in good arterial progression over a range of traffic flows. The notion of resonant cycle times contrasts with the prevalent adaptive control practice of setting the arterial cycle length in proportion to flow levels at the most congested intersection on the arterial. This research was motivated by the development of appropriate adaptive algorithms for closed-loop system control in the FHWA ACS-Lite project. Simulation experiments with TRANSYT-7F for a four-intersection arterial and additional time–space diagrams demonstrate the characteristics of resonant cycle times and the substantial performance benefits that they may offer. In addition, a systematic method was developed to identify appropriate resonant cycle times and fine-tune a schedule for a time-of-day signal timing strategy.

scholarly journals Application of Multi-Agent Deep Reinforcement Learning to Optimize Real-World Traffic Signal Controls

2021 ◽  
Author(s):  
Maxim Friesen ◽  
Tian Tan ◽  
Jürgen Jasperneite ◽  
Jie Wang
Keyword(s):  
Reinforcement Learning ◽  
Real World ◽  
Traffic Congestion ◽  
Traffic Signal ◽  
Traffic Model ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Control Logic ◽  
Rule Based ◽  
Multi Agent

Increasing traffic congestion leads to significant costs associated by additional travel delays, whereby poorly configured signaled intersections are a common bottleneck and root cause. Traditional traffic signal control (TSC) systems employ rule-based or heuristic methods to decide signal timings, while adaptive TSC solutions utilize a traffic-actuated control logic to increase their adaptability to real-time traffic changes. However, such systems are expensive to deploy and are often not flexible enough to adequately adapt to the volatility of today's traffic dynamics. More recently, this problem became a frontier topic in the domain of deep reinforcement learning (DRL) and enabled the development of multi-agent DRL approaches that could operate in environments with several agents present, such as traffic systems with multiple signaled intersections. However, most of these proposed approaches were validated using artificial traffic grids. This paper therefore presents a case study, where real-world traffic data from the town of Lemgo in Germany is used to create a realistic road model within VISSIM. A multi-agent DRL setup, comprising multiple independent deep Q-networks, is applied to the simulated traffic network. Traditional rule-based signal controls, currently employed in the real world at the studied intersections, are integrated in the traffic model with LISA+ and serve as a performance baseline. Our performance evaluation indicates a significant reduction of traffic congestion when using the RL-based signal control policy over the conventional TSC approach in LISA+. Consequently, this paper reinforces the applicability of RL concepts in the domain of TSC engineering by employing a highly realistic traffic model.

scholarly journals Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 274
Author(s):  
Maha Elouni ◽  
Hossam M. Abdelghaffar ◽  
Hesham A. Rakha
Keyword(s):  
Traffic Congestion ◽  
State Of The Art ◽  
Simulation Software ◽  
Traffic Signal ◽  
Nash Bargaining ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Fundamental Diagram ◽  
Total Delay ◽  
Urban Network

This paper compares the operation of a decentralized Nash bargaining traffic signal controller (DNB) to the operation of state-of-the-art adaptive and gating traffic signal control. Perimeter control (gating), based on the network fundamental diagram (NFD), was applied on the borders of a protected urban network (PN) to prevent and/or disperse traffic congestion. The operation of gating control and local adaptive controllers was compared to the operation of the developed DNB traffic signal controller. The controllers were implemented and their performance assessed on a grid network in the INTEGRATION microscopic simulation software. The results show that the DNB controller, although not designed to solve perimeter control problems, successfully prevents congestion from building inside the PN and improves the performance of the entire network. Specifically, the DNB controller outperforms both gating and non-gating controllers, with reductions in the average travel time ranging between 21% and 41%, total delay ranging between 40% and 55%, and emission levels/fuel consumption ranging between 12% and 20%. The results demonstrate statistically significant benefits of using the developed DNB controller over other state-of-the-art centralized and decentralized gating/adaptive traffic signal controllers.

A Study on Linear Coordinated Control of Intersection Signal in Youyi Street of Baotou City

2013 ◽  
Vol 361-363 ◽  
pp. 2240-2243
Author(s):  
Xin Jie Zhang ◽  
Jing Fei Yu
Keyword(s):  
Coordinated Control ◽  
Traffic Signal ◽  
Time Difference ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Intersection Signal Control ◽  
Traffic Speed

As the changing situations of the traffics, according to demanded traffic speed and the distance between two adjacent intersections, a multi-scheme continuous entrance system is taken. The method determine an appropriate time difference in order that vehicles travel in appropriate speed will continuous meet the green lights cross by cross. Furthermore, studies on linear coordinated intersection signal control is the basis of research of area traffic signal control.

scholarly journals Bus Priority Signal Control Considering Delays of Passengers and Pedestrians of Adjacent Intersections

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Jiali Li ◽  
Yugang Liu ◽  
Hongtai Yang ◽  
Bin Chen
Keyword(s):  
Traffic Flow ◽  
Coordinated Control ◽  
Signal Control ◽  
Signal Timing ◽  
Bus Priority ◽  
Total Delay ◽  
Phase Extension ◽  
Pedestrian Delays ◽  
Adjustment Scheme ◽  
Optimal Signal

In this paper, a bus priority signal control (BPSC) method based on delays of passengers and pedestrians at adjacent intersections, is proposed. The influences of BPSC on passenger and pedestrian delay at adjacent intersections under the condition of coordinated control of green waves are studied. The implementation of BPSC at intersections not only reduces the delay of bus passengers, social vehicle passengers and pedestrians, but also improves the traffic flow of priority buses and social vehicles at downstream intersections. This study takes the green phase extension as an example of the active BPSC strategy, and analyzes three cases of priority vehicles reaching downstream intersection. Firstly, passenger and pedestrian delays at adjacent intersections are calculated under different traffic situations. Secondly, models with the goal of maximizing the reduced total delays are established. Thirdly, three algorithms are used to solve the problem to obtain the optimal signal timing adjustment scheme at upstream intersections. Ultimately, the result shows that the BPSC can effectively reduce pedestrian delays at intersections, protect the rights and interests of pedestrians, reduce the delays of priority vehicles, and maximize the reduced total delay.

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