The Research Of Model And Algrithm In Traffic Emergency

Along with the accelerated urbanization process, the urban population surge rapidly, and the city's traffic problem is getting worse. At the same time, all kinds of emergency events have occurred frequently in the cities, and our city has entered a large number of emergency-outbreak period. After a series of disasters, such as the 911 terrorist attacks, "Katrina" hurricane, the earthquake and the tsunami in the Indian Ocean and other major disasters, the existing traffic emergency management system face with the new requirements: 1) to deal with the complex urban traffic conditions under emergencies; 2) to coordinate with the different organizations to manage urban traffic emergencies; 3) to implement effectively the emergency traffic management by different means.In this paper, based on the background faced by the vulnerable modern cities under the threat of the emergencies, we analysize deeply the new demand of traffic emergency platform in the large cities. We have introduced many theories, including artificial traffic, complexity theory to study the modeling, experiment, analysis and forecasting methods in the emergency management for traffic emergency evacuation, plan model designing, traffic simulation assessment, to support traffic decision-making, organization, intervention and evaluation, and to meet the demand of traffic emergency management in the metropolitan.This study includes mainly three aspects:First, the algorithm for the traffic emergency evacuation.Based on road network structure for the traffic evacuation (the evacuation point distribution, the shelter point distribution, the steering control in intersection, the lane number in roads, the traffic capacity in lanes, etc), we have developed an optimal path-reversal algorithm to reduce the intersection conflict, and improve road capacity.Second, the traffic plan process models to support human activities.We have used the finite state automata methods to model human activities to strengthen modeling capabilities of BPEL, and have used FOAF vocabulary database to enhanced the security authorization capabilities of BPEL in interpersonal coordination to ultimately improve the traffic plan modeling capabilities involved in a large number of BPEL human activities.Third, the modeling method of artificial transportation system based on cellular automata.Based on cellular automata theory, in the Swarm simulation platform, we have designed micro-behavior of vehicles under emergency and the transformation strategy for traffic signals, and studied the traffic simulation technology to build artificial transportation system for studing "maximum" macro transport phenomena through the calculation emergency of the group behavior.This paper can provide the basic traffic emergency management with the independent intellectual property rights, efficient, reliable, secure, intelligent, universal aspects in the modern city traffic environment under the threat of the vulnerability of the multi-scale emergencies to have a wide range of application prospects in traffic control, disaster relief, national defense preparedness, public safety, medical care, fire and rescue and other fields.