Location planning of electric taxi charging station based on driving trajectory

Hehuan Hehuan,Geqin Geqin,T Zhu,M Anpo,A Sharifi

doi:10.1051/e3sconf/202127101024

Abstract

With the vigorous development of energy technology, the promotion and use of electric vehicles has brought new vitality to the development of ecological environment. According to the big data of taxi travel trajectory, we can get the idle rule of taxi operation time. Taking the idle time and location of taxi as the demand hot spot, taking the location points along the road network of the research area as the candidate points, this paper uses ArcGIS to do the location planning of charging station, so that the charging station can reduce the charging anxiety of taxi drivers, meet the charging demand to the maximum extent, and get the the minimum number of stations, and the quantity and distribution are taken as the site selection scheme..

Highlights

With the rapid development of society, the consumption of oil resources is intensified, and the problem of environmental pollution is becoming more and more serious
Electric vehicles with its zero exhaust emissions, low noise pollution and other good environmental benefits and social benefits have been widely concerned, which promotes the development of new energy vehicles
Ye[2] et al established a model to minimize the system travel time and greenhouse gas emissions, considering that the road impedance in the traffic problem will affect the route selection of new energy vehicles, which makes the research on the charging demand of new energy vehicles more consistent with the actual situation.Zeng[3] et al used Markov chain to forecast the demand, established a mathematical model to maximize the revenue of charging station, and analyzed the optimal solution with immune optimization algorithm.Li[4] control the cost from two aspects of user use cost and construction cost, and propose bacterial colony optimization algorithm to find the optimal solution

Summary

Introduction

With the rapid development of society, the consumption of oil resources is intensified, and the problem of environmental pollution is becoming more and more serious. Electric vehicles with its zero exhaust emissions, low noise pollution and other good environmental benefits and social benefits have been widely concerned, which promotes the development of new energy vehicles. The development of electric vehicle industry injects strong new energy into the economic growth of various countries, and makes great contribution to reducing greenhouse gas emissions, coping with the challenge of climate change and improving the global ecological environment. the public acceptance of EVs is gradually increasing, the situation of EVcharging has not fundamentally changed, the dilemmas of charging difficulty and low utilization rate of charging facilities are still prominent. Developing new energy vehicles has become a breakthrough to solve many problems, and an inevitable choice for the transformation and upgrading of China's automobile industry structure. In order to guide consumers to choose new energy vehicles, the state has promulgated a series of incentive policies

Literature review

Model construction and solution based on ArcGIS

Empirical analysis

Cleaning and analysis of trajectory big data

Conclusions