基于模糊综合评判的智能行程时间预测算法

摘要

An intelligent travel time prediction algorithm is put forward. Algorithm is based on real-time traffic such as traffic volume and occupancy rate information, the fuzzy comprehensive evaluation for travel time prediction. The core is a judging set composed of the traffic volume and occupancy rate constitute factors set, the travel time. Through the factors set membership functions of fuzzy judgment matrix, the travel time quantitative values are determined. The algorithm is verified with high forecast precision, good fitting degree, and good feasibility.%提出一种智能行程时间预测算法.算法基于交通流量和占有率等实时交通信息,用模糊综合评判的方法实现对行程时间的预测.其核心是由交通流量和占有率构成因素集,把行程时间看成由因素集组成的评判集,通过因素集的隶属度函数确定模糊评判矩阵,从而求出行程时间的定量值.算例验证了算法的预测精度高,拟合程度好,具有一定的可行性.