activity
20172019
most citedPlug-in Electric Vehicle Charging Congestion Analysis Using Taxi Travel Data in the Central Area of Beijing

10 citations · 18 across the 11 of their papers we have counts for

collaborators

11 papers

math.OC2019

Demand Adaptive Multi-Objective Electric Taxi Fleet Dispatching with Carbon Emission Analysis

Yiwen Song, Ningning Sun, Huimiao Chen

As a foreseeable future mode of transport with lower emissions and higher efficiencies, electric vehicles have received worldwide attention. For convenient centralized management,…

cs.OH2019

A Method of EV Detour-to-Recharge Behavior Modeling and Charging Station Deployment

Tianshu Ouyang, Jiahong Cai, Yuxuan Gao +3

Electric vehicles (EVs) are increasingly used in transportation. Worldwide use of EVs, for their limited battery capacity, calls for effective planning of EVs charging stations to…

eess.SP2018★ 1 cited

Simulation Based Evaluation and Optimization for PEV Charging Stations Deployment in Transportation Networks

Zhenghe Zhong, Xinran Zhang, Daihan Zhang +2

Plug-in electric vehicles are receiving global attention. However, large-scale plug-in electric vehicles bring challenge to charging station deployment. This paper provides a deplo…

eess.SP2018★ 3 cited

A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation

Yunyi Liang, Zhiyong Cui, Yu Tian +2

This study proposes a deep generative adversarial architecture (GAA) for network-wide spatial-temporal traffic state estimation. The GAA is able to combine traffic flow theory with…

eess.SY2017★ 10 cited

Plug-in Electric Vehicle Charging Congestion Analysis Using Taxi Travel Data in the Central Area of Beijing

Huimiao Chen, Hongcai Zhang, Zechun Hu +3

Recharging a plug-in electric vehicle is more time-consuming than refueling an internal combustion engine vehicle. As a result, charging stations may face serious congestion proble…

math.OC2017

Electrifying the Urban Taxi Fleet: A Data-driven Approach

Yikang Li, Huimiao Chen, Yanni Yang +2

This paper is devoted to proposing a data-driven approach for electrifying the urban taxi fleet. Specifically, based on the gathered real-time vehicle trajectory data of 39053 taxi…

eess.SY2017★ 1 cited

Optimizing Electric Taxi Charging System: A Data-Driven Approach from Transport Energy Supply Chain Perspective

Yinghao Jia, Yide Zhao, Ziyang Guo +2

In the last decade, the development of electric taxis has motivated rapidly growing research interest in efficiently allocating electric charging stations in the academic literatur…

eess.SY2017★ 1 cited

Coordinated Charging and Discharging Strategies for Plug-in Electric Bus Fast Charging Station with Energy Storage System

Huimiao Chen, Zechun Hu, Hongcai Zhang +1

Plug-in electric bus (PEB) is an environmentally friendly mode of public transportation and plug-in electric bus fast charging stations (PEBFCSs) play an essential role in the oper…

math.OC2017★ 1 cited

Data-Driven Planning of Plug-in Hybrid Electric Taxi Charging Stations in Urban Environments: A Case in the Central Area of Beijing

Huimiao Chen, Yinghao Jia, Zechun Hu +2

Plug-in electric vehicles (PEVs) can contribute to energy and environmental challenges. Among different types of PEVs, plug-in hybrid electric taxis (PHETs) go in advance. In this…

math.OC2017

Risk-Averse Joint Capacity Evaluation of PV Generation and Electric Vehicle Charging Stations in Distribution Networks

Huimiao Chen, Zechun Hu, Yinghao Jia +1

Increasing penetration of distribution generation (DG) and electric vehicles (EVs) calls for an effective way to estimate the achievable capacity connected to the distribution syst…

math.OC2017★ 1 cited

Energy Storage Sharing Strategy in Distribution Networks Using Bi-level Optimization Approach

Huimiao Chen, Yang Yu, Zechun Hu +3

In this paper, we address the energy storage management problem in distribution networks from the perspective of an independent energy storage manager (IESM) who aims to realize op…