Development and evaluation of a multi-agent approach to traffic signal control using traffic simulation

This thesis is aimed at demonstrating the feasibility of using recent software development techniques based on distributed agent technologies to develop a decentralised multi-agent traffic signal control system. The motivation for this work stemmed from a recognition of the limitations of existing traffic signal control methodologies and an acknowledgement that traffic control is a large-scale, complex, dynamic problem with highly nonlinear characteristics. A review of existing systems revealed a number of challenges and limitations and showed that the majority operated principally on pre-defined plans which were suitable only for pre-determined situations. As a result, they failed to control unexpected conditions when traffic flows changed rapidly. The performance of existing systems was also found to suffer during over-saturated conditions and the main challenge in this thesis was formulated as the need to shift from controlling near-saturated conditions to the requirement for traffic control during over-saturated conditions. This thesis adopted a traffic simulation approach for the evaluation of the proposed multi-agent traffic control system.

• Supplemental Notes:
  • Thesis presented to the University of Queensland Thesis available for purchase from the university library
• Authors:
  • Nigarnjanagool, S
• Publication Date: 2007

Language

• English

Media Info

• Pagination: 1 vol (various pagings)

Subject/Index Terms

• TRT Terms: Advanced traffic management systems; Advanced traffic management systems; Calibration; Highway traffic control; Intelligent transportation systems; Mathematical models; Traffic flow; Traffic signal controllers; Traffic signal timing; Traffic signals
• ATRI Terms: Advanced traffic management systems (ATMS); Calibration; Intelligent transport systems (ITS); Modelling; Signal controller; Signal timing; Traffic flow; Traffic management; Traffic signal
• ITRD Terms: 8735: Intelligent transport system
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 01386583
• Record Type: Publication
• Source Agency: ARRB
• Files: ATRI
• Created Date: Aug 22 2012 9:31PM