A Survey of Intelligence Methods in Urban Traffic Signal Control
نویسنده
چکیده
It is quit difficult to improve the performance of urban traffic signal control system efficiently by using traditional methods of modeling and control because of time-variability, non-linearity, fuzzyness and nondeterminacy in the system. It becomes the research hotspot in this area to apply artificial intelligence methods to urban traffic signal control system. This paper, based on analysis for a general model of urban traffic signal control, makes a summary of the applications of intelligence methods such as fuzzy logic, neural networks, evolutionary algorithms and agent reinforcement learning to urban traffic signal control, and analyzes the superiority and inferiority of these methods in applications. Finally, some points of view about the future research in this area are proposed.
منابع مشابه
Optimal Signal Control in Urban Road Networks with High Priority Congested Centers
Keeping the density of traffic flow and air pollution in an acceptable level and developing a good capacity for transit in the high priority areas of the city, is really a big deal in large and crowded cities. To address this problem, a new method of intersection signal optimization is presented in this paper. Based on network fundamental diagrams, an Internal–External Traffic Metering Strategy...
متن کاملOptimization of Urban Multi-intersection Traffic Flow via Q-learning
Congestions of the traffic flow within the urban traffic network have been a challenging task for all the urban developers. Many approaches have been introduced into the current system to solve the traffic congestion problems. Reconfiguration of the traffic signal timing plan has been carried out through implementation of different techniques. However, dynamic characteristics of the traffic flo...
متن کاملA Brief Survey on Advances of Control and Intelligent Systems Methods for Traffic-responsive Control of Urban Networks
Subject review Traffic congestions in urban networks could contribute to adverse impact on the economy, environment and the quality of life. As a result, much research has been conducted to provide counter measures through traffic-responsive control strategies. These strategies aim to provide automated regulations of traffics through various control and intelligent systems methodologies. This p...
متن کاملStatistical Analysis of Two-lane Roundabout Data for Traffic Control Decision-Making in an Urban Area
Researches using existing statistics and data collected from the area of study help officials at decision-making, to improve the region's problems, like the problem of the high rate of accidents in the region, despite the low volume of daily service. The uses of roundabouts in many parts of the world have many advantages over intersections, amongst them are increased safety and capacity and red...
متن کاملComparative Study of Urban Traffic Management in Reducing Accidents in Tehran Using Analytic Hierarchy Process and Delphi Methods
Comparative Study of Urban Traffic Management in Reducing Accidents in Tehran Using Analytic Hierarchy Process and Delphi Methods Mohammadreza Mehmandar 1, Mohammad Ariana 2 *, Ehsan Khalili 3, Tofigh Mobaderi 4 1 Faculty of Traffic Police, Amin Police University, Tehran, Iran 2 Tehran Traffic Police, Tehran, Iran 3 Department of Control, School of Electrical and Computer Engineering, Isfah...
متن کامل