为了增强出行前停车信息查询功能和提高停车诱导效果,提出一种服务于驾驶员出行前对目的地首选以及备选停车场进行车辆停放选择的优化模型,建立了以驾驶员使用最便利,可达性最强,出行停放成本最低为目标的车辆停放选择模型,利用启发式算法计算了模型的备选解集。经实例验证,该模型可以得到多个满足约束条件的合理性停车方案,从而为驾驶员在出行前选择停车场提供了决策依据。
In order to enhance the function of parking information query and gutdance, offer drivers some proper direction with preferred and candidate parking dots before their trips, a multi-object parking behaviors model was set up to minimize trip time, walking distance and parking fee, the heuristic algorithm was used to solve the model. The model was tested with an example. The result shows that the model can select multi-plans with rationality under restristive conditions for driver's parking, these rational plans can give a decision evidence for driver selecting parking dots. 3 tabs, 2 figs, 9 refs.