种基于多粒子群协同演化的人车混合疏散仿真优化方法

• Format: Patent
• Language: Chinese
• Published: 05.04.2019
• Subjects: CALCULATING; CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TOTRANSPORTATION; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS; TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE

本发明提供了种基于多粒子群协同演化的人车混合疏散仿真优化方法，主要通过粒子群优化算法解决大型建筑物和路网集成环境中的人车混合疏散问题，利用粒子的运动过程模拟疏散个体，包括人员、车辆的混合疏散过程，并且采用基于信息素的多粒子群通信机制模拟人员和车辆之间的交互和信息共享，克服了粒子群算法只考虑了粒子之间的交互而忽略了环境对粒子运动过程的影响等不足，能够更好地模拟人车混合疏散过程中不同交通对象的竞争和协作，形成满足多个目标需求的疏散优化方案，提供合理高效的决策依据。 The invention provides a multi-particle-swarm-cooperative-evolution-based simulated optimization method for human-vehicle mixed evacuation. With a particle swarm optimization algorithm, a problem of human-vehicle mixed evacuation in a large building or a road network integrated environment can be solved. Evaluation processes, including a mixed evacuation process of human beings and vehicles, of evacuated individuals can be simulated by using the particle evaluation process. On the basis of a pheromone-based multi-particle-swarm communication mechanism, interaction and information sharing between people and vehicles are simulated, so that a defect that the existing particle swarm algorithm only considers interaction between particles but ignores the influence on the particle moving