An Urban Traffic Control System Based on Mobile Multi-Agents

2006 ◽  
Author(s):  
Zhenjiang Li ◽  
Fei-Yue Wang ◽  
Qinghai Miao ◽  
Feng He
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Urban Traffic ◽  
Traffic Control System ◽  
Urban Traffic Control ◽  
Multi Agents

Traffic Monitoring and Congestion Management in the SCOOT Urban Traffic Control System

1998 ◽  
Vol 1634 (1) ◽  
pp. 118-122 ◽  
Author(s):  
David Bretherton ◽  
Keith Wood ◽  
Neil Raha
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Detection System ◽  
Congestion Management ◽  
Traffic Monitoring ◽  
Urban Traffic ◽  
Incident Detection ◽  
The European Union ◽  
Traffic Control System ◽  
Urban Traffic Control

The SCOOT Urban Traffic Control system is now operating in over 170 cities worldwide, including 7 systems in North America. Since the first system was installed, there has been a continuous program of research and development to provide new facilities to meet the requirement of the traffic manager. The latest version of SCOOT (Version 3.1) incorporates a traffic information database, ASTRID, and an incident-detection system, INGRID, and provides a number of facilities for congestion control. The traffic monitoring facilities of SCOOT, including a new facility to estimate emissions from vehicles, and the current program of work to enhance the incident-detection system and to provide additional facilities to manage incidents and congestion are reported in this paper. The work is being carried out as part of the European Union, DGXIII 4th Framework project, COSMOS, with additional funding from the UK Department of Transport. The enhanced system is to be installed in the Kingston Borough of London, where it will be tested in combination with congestion warning information provided by variable message signs.

Current Developments in SCOOT: Version 3

1996 ◽  
Vol 1554 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Dave B retherton
Keyword(s):  
Control System ◽  
Data Base ◽  
Traffic Control ◽  
Detection System ◽  
Urban Traffic ◽  
Incident Detection ◽  
Bus Priority ◽  
Current Information ◽  
Traffic Control System ◽  
Urban Traffic Control

The SCOOT urban traffic control system is now operating successfully in more than 130 towns and cities worldwide. The latest version of SCOOT has been extended to include support for bus priority, the automatic SCOOT traffic information data base (ASTRID) system, and the INGRID incident detection system and has been given added flexibility, particularly for use in incident conditions. Bus priority in SCOOT was developed within the European Union DRIVE 2 project PROMPT. This software has now been issued as part of the latest SCOOT version, following the field trials in London and Southampton, United Kingdom, which showed that significant benefits to buses could be obtained. The ASTRID data base has now been integrated with SCOOT and can run in the same machine as the urban traffic control system. As well as providing current and historical information to traffic engineers, ASTRID now can feed historic information back into SCOOT, providing a substitute cyclic flow profile that can be used for optimization when there are faulty detectors. The INGRID incident detection system contains two algorithms to provide an indication of an incident; taking current information directly from SCOOT, INGRID detects abnormal changes in flow and occupancy, and comparing current information with historic information stored in the ASTRID data base, INGRID detects abnormal patterns in these parameters. The SCOOT optimizers have been made more flexible and can now make larger changes to the signal timings if required. This facility can be switched on or off and would be particularly useful where an incident has been detected.

Simulation Research on Urban Traffic Integration Control System Based on Multi-Agent

2012 ◽  
Vol 562-564 ◽  
pp. 2011-2018
Author(s):  
Jia Zhou Geng ◽  
Peng Cheng ◽  
Fei Zhou Zhang
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Traffic Control ◽  
Urban Traffic ◽  
System Structure ◽  
Frame Structure ◽  
Multi Agent ◽  
Management Modes ◽  
Urban Traffic Control ◽  
Multi Agents

In order to solve the key problems of urban traffic in China, the intelligent means and approaches, combined with artificial intelligent with tradition control ones, are adopted in the paper. Some hypotheses are elicited on the basis of the characteristics of Chinese urban traffic control system structure and functional requirement, a frame structure of urban traffic intelligent control system is stated based on multi-agents cooperation. Some better design ways and means for urban traffic real-time, rational and reasonable control system is established according to the frame structure, the system design of urban cross control and area control based on multi-agents is implemented. Simulation results show that urban traffic integration control with multi-agent excels timing control in latency time. In this way, successful realization of goal for urban traffic intelligent control is insured so as to increase the capacity of urban road network and to improve our urban traffic control and management modes. Therefore quality of urban surroundings will be enhanced. And the comfortable and delightful traffic surroundings will be built.

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