Study on Intelligent Control of Traffic Signal of Urban Area and Microscopic Simulation

Logistics ◽  
2009 ◽  
Author(s):  
Dan Chen ◽  
Xiaohong Gao
Keyword(s):  
Urban Area ◽  
Intelligent Control ◽  
Traffic Signal ◽  
Microscopic Simulation

Dynamic Wireless Power Transfer in Urban Area: EMI on Traffic Signal Cables

2021 ◽  
Author(s):  
Silvano Cruciani ◽  
Francesca Maradei ◽  
Tommaso Campi ◽  
Mauro Feliziani
Keyword(s):  
Urban Area ◽  
Wireless Power Transfer ◽  
Traffic Signal ◽  
Power Transfer ◽  
Wireless Power

Research of Intelligent Control of Traffic Signal

2014 ◽  
Vol 644-650 ◽  
pp. 107-111
Author(s):  
Xiang Li ◽  
Jin Song Du ◽  
Jing Tao Hu ◽  
Xin Bi
Keyword(s):  
Genetic Algorithm ◽  
Neural Networks ◽  
Particle Swarm Optimization ◽  
Artificial Neural Networks ◽  
Intelligent Control ◽  
Traffic Signal ◽  
Future Research ◽  
Intelligent Algorithm ◽  
Swarm Optimization ◽  
Multi Agent

At present, in the field of intelligent control of traffic signal, most of scholars at home and abroad use fuzzy control and intelligent algorithm, such as genetic algorithm, ant colony optimization, particle swarm optimization, multi-agent, artificial neural networks, fuzzy method etc. This paper summarizes and analyzes these algorithms, points out the problems and shortcomings in the present research, puts forward the direction and trend in the future research. These works have certain directive significance to the research and development of intelligent control of traffic signal.

A Real-Time Simulation Environment for Evaluating Traffic Signal Systems

1998 ◽  
Vol 1634 (1) ◽  
pp. 130-135 ◽  
Author(s):  
Darcy Bullock ◽  
Alison Catarella
Keyword(s):  
Internal Control ◽  
Control Algorithm ◽  
System Optimization ◽  
Traffic Signal ◽  
Hardware In The Loop ◽  
Microscopic Simulation ◽  
Current Generation ◽  
Loop Control ◽  
Significant Difference ◽  
The Impact

Features and operating modes of the current generation of actuated controllers have evolved to the point where there is a significant difference between the configuration parameters associated with an actuated controller and the information obtained from traffic signal system optimization packages such as TRANSYT 7F and PASSER II. As a result, TRANSYT 7F and PASSER II give no guidance on the impact or sensitivity of many actuated control parameters on a traffic signal system’s performance. Furthermore, none of the current generation of microscopic simulation models is detailed enough to evaluate the effect particular features, such as cycle transition algorithms or return from preemption algorithms, have on overall system performance. To address this need, an enhancement made to the CORSIM package that allows physical controllers to be connected to CORSIM is described in this paper. In this arrangement, CORSIM provides the microscopic simulation and tabulation of measures of effectiveness (MOEs). However, instead of CORSIM emulating controller features, CORSIM sends detector information to the physical controllers and reads back phase indications. This type of simulation is often referred to as hardware-in-the-loop. Since CORSIM tabulates performance MOEs, qualitative before-and-after measurements can be obtained for any hardware conforming to the NEMA TS-1 electrical standard for phase outputs and detector inputs. To validate the performance of this hardware-in-the-loop approach, an evaluation is presented that shows there is no evidence of a significant statistical difference in MOEs between the internal control algorithm and the hardware-in-the-loop control algorithm for both a fixed time and actuated controller.

scholarly journals Evaluation of Design Standards of Four-Hour Volume Traffic Signal Warrant

2012 ◽  
Vol 49 (3) ◽  
Author(s):  
Xuesong Zhu ◽  
Albert Gan ◽  
David Shen
Keyword(s):  
Traffic Control ◽  
Traffic Signal ◽  
Microscopic Simulation ◽  
Design Standards ◽  
Control Delay ◽  
Critical Design ◽  
Design Values ◽  
Average Control ◽  
Street Traffic ◽  
Control Devices

Traffic signal warrants set the minimum conditions under which a traffic signal installation may be appropriate. The four-hour volume signal warrant in the current Manual on Uniform Traffic Control Devices (MUTCD) (FHWA 2009) is applied based on a set of critical vehicular volumes for different lane combinations of major and minor streets. This paper describes an effort to apply microscopic simulation to evaluate the critical volumes used in the four-hour warrant. The results show significant differences in average control delay for minor street traffic under different volume combinations, lane configurations, turning volume percentages, heavy vehicle percentages, and the number of major street lanes (four versus six lanes), most of which are not currently considered in the four-hour warrant. This finding provides some evidence of the need to possibly revise the critical design values of the current four-hour volume warrant.

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