油耗依赖的生态路由选择模型

发布时间：2019-04-17 20:56

【摘要】：随着出租车与家用汽车等交通工具数量的迅速增加,交通领域遭遇到越来越大的环境压力.传统的路径选择模型大多是寻找汽车从起始点到目的地之间的最短距离路径或最短时间路径,然而这两种路径的燃油消耗量和污染物排放量不一定是最少的.油耗的增多,不仅会造成能源的短缺,还会对城市环境产生巨大的影响.本文针对当前交通油耗过多、环境污染严重以及现有路径选择模型很少关注油耗及污染物排量放等问题,提出一个油耗依赖的生态路由选择模型.首先创建一个以油耗为权重的时间依赖路网模型,并将油耗因子引入到经典A-star算法的启发式评价函数中,提出了油耗依赖的生态路由选择模型.实验结果表明,该模型提供的生态路径能够有效的节省油耗减少环境污染.
[Abstract]:With the rapid increase in the number of vehicles such as taxis and domestic cars, the transportation field is experiencing more and more environmental pressure. Most of the traditional path selection models search for the shortest distance path or the shortest time path from the starting point to the destination. However, the fuel consumption and pollutant emission of these two paths are not necessarily the least. The increase of fuel consumption will not only cause the shortage of energy, but also have a great impact on the urban environment. In this paper, an eco-routing model based on fuel consumption is proposed to solve the problems such as excessive fuel consumption, serious environmental pollution and little attention to fuel consumption and pollutant emission in the existing route selection models. Firstly, a time-dependent road network model weighted by fuel consumption is established, and the fuel consumption factor is introduced into the heuristic evaluation function of the classical A-star algorithm, and an eco-routing model based on fuel consumption is proposed. The experimental results show that the ecological path provided by the model can effectively save fuel consumption and reduce environmental pollution.
【作者单位】：上海理工大学光电信息与计算机工程学院;
【基金】：国家自然科学基金项目(61003031)资助上海重点科技攻关项目(14511107902)资助
【分类号】：O157.5;U471.23

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