摘要
为解决随机选择停车或根据某一单一影响因素选择停车的问题,设计了基于多指数决策的停车场选择模型。该模型以泊位指数、用户认可指数、费用指数、停车场等级指数为影响因素计算综合选择指数,以综合选择指数为选择目标停车场的唯一指标。根据仿真实验结果可知,该模型能够克服以往停车诱导系统根据单因素确定目标停车场的盲目性和片面性,提供最优停车场选择,还能根据不同侧重的需求推荐局部最优全局次优的选择,为用户提供全方位的推荐服务,因此,具有更大的适应性和可推广性。
In order to solve the problem of parking randomly, or choose parking according to a single factor, a selection model of parking lots based on multi-index decision-making is proposed. In this model, the berth index, user acceptance index, cost index, and parking lot index are chosen to calculate the comprehensive selection index, which was the unique index to choose a parking lot. According to the simulation results, the model can overcome the aimlessness and one-sidedness of previous parking guidance system to determine the target parking lot according to a single factor, and provide the optimal parking lot choice. It can also recommend the local optimal global suboptimal selection according to different requirements which provides users with all-round recommended services. Therefore, the model has more adaptability and generalizability.
出处
《计算机应用与软件》
2017年第6期18-21,共4页
Computer Applications and Software
