期刊文献+

油耗依赖的生态路由选择模型 被引量:2

Consumption-aware Model for Eco-routing in Vehicle Network
下载PDF
导出
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. The transportation sector has faced increased environmental pressure due to the rapid motorization in China over recent years. The path of the traditional navigation system is more focus on how to find the shortest distance or the shortest time from starting point to destination. However, the shortest-time path usually has not the least amount of fuel consumption and pollutant emissions. The increased fuel consumption not only leads to the shortage of energy,but also has a great negative effect to the urban environment. In this paper, we provide an Eco-routing model which consider fuel consumption and pollutant emissions based on the current fuel consumption and environmental pollution problems. We create a road network weights of fuel consumption, and the fuel consumption factor is introduced into the classic A-star algorithm of heuristic evaluation function,proposed the fuel consumption depends on the optimal path planning algorithm of A-star ecological route choice model. The results show that the proposed Eco-routing model significantly reduces fuel consumption and has good environmental performance.
作者 刘妍 彭敦陆
出处 《小型微型计算机系统》 CSCD 北大核心 2017年第7期1512-1517,共6页 Journal of Chinese Computer Systems
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
关键词 生态路由 油耗因子分析 A-star寻路算法 时间依赖 Eco-routing fuel consumption factor analysis A-star algorithm time dependent
  • 相关文献

同被引文献27

引证文献2

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部