activity
20172019
most citedA Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation

3 citations · 5 across the 6 of their papers we have counts for

collaborators

7 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,…

eess.SP2018

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.SP20183 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…

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…

math.OC20171 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…