Signal Priority Coordination Control Of Multi-Intersections For Emergency Vehicles

Emergency Management Systems (EMS) is the guide for emergency vehicles to make quick response, deal with an emergency, convey people and supplies, and warn conventional vehicles when emergency danger occurs. As an indispensable link in emergency rescue and evacuation process, emergency vehicles signal priority issues are especially important and attracting many scholars'attention. Multi-intersections signal priority coordinated control problem in the emergency response process for emergency vehicles is studied in this paper, aiming to guarantee emergency vehicles passing through multiple signal intersections quickly and safely, and minimize the influence on conventional vehicles by emergency vehicles. Theoretical basis and technical supports are provided to paroxysmal disaster rescue works with important practical significance.Firstly, according to the characteristics and coordination principle of multi-agents, a kind of " dispersion-coordination" multi-agents system frame was established. From the basic hardware, three basic models, vehicle operating agent model, intersection signal control agent model and coordinated management agent model, were abstracted. Roles and functions of them were studied in the running process. Secondly, the fuzzy logic method was used in the decision and coordinated process. A multi-steps fuzzy logic decision-making algorithm was designed for the signal control agent of the first intersection, and a triangular fuzzy cooperating algorithm was designed for signal con- trol agent between adjacent intersections following-up. Finally, a kind of mental adap- tive coordination method was given adding for the cooperating fail.In order to testing the effects of the control method provided, simulation experi- ments were completed in the multi-intersections simulation street. The most queuing numbers, average intersection delay time and average stops for emergency vehicles and conventional vehicles were selected as evaluation indexes, and two groups of compara- tive experiments were designed. Through the contrasts with comparison experimental results, the effects were verified.