Abstract:

The signal priority control for the emergency vehicle is an important measure to guarantee the efficiency of evaluation and rescue under traffic accidents. The minimum delay of emergency vehicle at single intersection as the control target, three signal priority control strategies were proposed which consist of green time extension, red time shortening and multiphase integrated control. The focus was on the multiphase signal priority fuzzy control strategy based on the emergency vehicle volume rate. An implementation method for the emergency vehicle signal priority control strategy was suggested based on the radio frequency identification technique. A simulation was performed by a software to evaluate the proposed strategy, and the results showed that it can reduce effectively the time delay of the emergency vehicle.

Key words: intelligent transportation systems, signal priority, fuzzy control, emergency vehicle, traffic accident