A Three Stage Optimal Scheduling Algorithm for AGV Route Planning Considering Collision Avoidance under Speed Control Strategy

With the trend of terminal automation and requirement for port operation efficiency to be greatly improved, it is very necessary optimize traveling route automatic guided vehicles (AGV) with reference connection loading unloading equipment. As a complex multi-equipment system, inevitable that AGV will collide when due various accidents in actual operation, which lead locking reduce operation. Considering problem AGV, we propose three-stage integrated scheduling algorithm planning. Through joint optimization quay cranes (QC) yard blocks, road network model established front area container path network, speed control strategy proposed solve collision avoidance. In first stage, establish optimal goal minimizing according situation. second on basis determination planning, task known, assignment maximum completion time, solved by genetic (GA). third determination, scheme are input into simulation establishing avoidance control, automated terminals considering plant software. The time obtained from compared algorithm. can improve port, situation, has certain contribution formulation planning port.