Optimization of Charging Station Placement by Using Taxi Probe Data for On-Demand Electrical Bus System
Optimization of Charging Station Placement by Using Taxi Probe Data for On-Demand Electrical Bus System
复制标题
DOI：
10.1007/978-3-642-23854-3_64
复制
发表时间：
2011-09
期刊：
影响因子：
--
通讯作者：
H. Kameda;Naoto Mukai
中科院分区：
文献类型：
--
作者：
H. Kameda;Naoto Mukai
按需公交系统的开发和电动汽车的推广一直是日本关注的焦点。在按需公交系统中，客户由合乘公交车挨家挨户运送，公交车在需要的时候第一时间上下客。因此，该系统的效率优于传统的常规公交系统(即根据公交车时刻表和公交站点进行调度)。我们预计，将电动汽车引入按需公交系统，以减少二氧化碳排放。然而，我们的目标系统，我们称为按需电动公交车系统，有一个由电动汽车的电池充电能力引起的问题(例如，充电定时问题)。为了解决这一问题，本文试图利用东京的出租车探测数据来优化服务区内充电站的布置。出租车探头的数据是出租车的位置和速度等历史数据。我们根据客户出现的频率，通过三种方式将服务区划分为几个小区域。此外，我们还在顶级地区设置充电站。仿真结果表明，通过优化充电站布置，用户接受率提高了约4%，平均运输时间减少了0.2分钟。
The development of on-demand bus system and the spread of electrical vehicles have been focused in Japan. In the on-demand bus system, customers are transported by share-ride buses door-to-door, and buses pick up and drop off customers as soon as whenever required. Therefore, the efficiency of this system is superior to traditional normal bus systems (ie, a schedule according to bus timetables and bus stops). We expect that the introduction of electrical vehicles to the on-demand bus system in order to reduce carbon dioxide. However, our target system, we call on-demand electrical bus system, has a problem caused by the battery charge capability of electrical vehicles (eg, a charge timing problem). In order to solve this problem, in this paper we try to optimize the placement of charging stations in a service area by using taxi probe data at Tokyo. The taxi probe data is a history of taxi such as the position and speed. We separated the service area to some small districts according to the occurrence frequency of customers by three ways. Moreover, we place charging stations on top districts. The simulation results indicated that the customer acceptance rate increases about 4%, and the average transport time decreases 0.2 minutes by optimizing the charging station placement.