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A Multi-Agent Negotiation Approach to Simulate and Analyze Drivers’ Route Choice Behavior

Author: CuiNa
Tutor: AnShi
School: Harbin Institute of Technology
Course: Transportation Planning and Management
Keywords: Traffic Flow Guidance Path Selection Multi-agent negotiation
CLC: U491
Type: Master's thesis
Year: 2007
Downloads: 240
Quote: 1
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Abstract


Urban Traffic Flow Guidance System (Urban Traffic Flow Guidance System, UTFGS) is an important research content of the Intelligent Transportation System (Intelligent Transportation Systems, ITS) . UTFGS by induced the vehicle to improve road traffic conditions , and the ultimate realization of the traffic flow in a reasonable allocation of the entire road network , the dynamic path selection is UTFGS core theory . Abroad path selection research mostly considered from a centralized processing perspective , these methods are in practical application is limited due to the information collected and calculated speed , and many other reasons . Distributed processing method is another idea to solve the problem of dynamic path selection . Agent technology has the intelligence , learning characteristics to help travelers deal with travel information from the point of view of the distributed processing , and through the interaction between the agent negotiation path selection . Led driver willingness to travel in the negotiation process , combined to improve the overall efficiency of the road network , taking into account the principle of optimal allocation of the \This paper first analyzes the influencing factors of the driver's route choice behavior by decision intentions survey , to determine when the driver during the path selection decision objectives , the appropriate weight and evaluation threshold . On this basis , the establishment of a utility function of each target , as well as evaluating the travel path of the maximum linear utility model , which provided the basis for the agent to select the travel path . Based on multi-agent principles , we established three types of agent : Agent-TMS, road network system administrator agent coordinator agent Agent-ISP and on behalf of the driver's vehicle travel will Agent Agent - IRCS . On this basis , the travel path before selection negotiation model . Finally, the use of multi-agent simulation software Starlogo, on three different trips the proportion ( 150:50,100:100,50:150 ) case of driver information without consultation travel , the information without consultations travel information consultations travel three kinds path selection mode and information consultations travel in various models in the composition ratio of case driver route choice behavior simulation . Simulation results not only reveal the importance of travel information , and also to verify the effectiveness and superiority of the consultation in the driver's route choice .

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CLC: > Transportation > Road transport > Technical management of traffic engineering and road transport > Traffic engineering and traffic management
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