Zhang Kai

Dr. Kai Zhang received both his B.E. and Ph.D. degrees from Tsinghua University, China, in 1999 and 2004 respectively. His research interests include intelligent transportation systems, intelligent vehicles, new energy vehicles, intelligent sensory, and wireless optical communication. He is currently an Associate Professor in the Division of Logistics & Transportation of Tsinghua Shenzhen International Graduate School.

B.Eng (1999), Ph.D. (2004), Tsinghua University, Beijing, China

2014-present Associate Professor, Tsinghua Shenzhen International Graduate School

2004-2014 Researcher, Senior Researcher, ITS Center, Mitsubishi Heavy Industries, Japan

Editorial Board Member & Guest Editor, Transportation Research Part D

Expert Board Member of Shenzhen Transportation Committee

Associate Secretary General of Shenzhen Intelligent Transportation Society

Intelligent Transportation Systems and High-Accuracy Positioning (TBSI)

Traffic Modeling and Simulation (TBSI)

Advanced Intelligent Transportation Systems (TBSI)

Intelligent Transportation Systems

Traffic Flow Theory and Control

ITS Modeling and Simulation

Intelligent Technologies for New Energy Vehicles

Multi-sensor Fusion: Fundamentals and Applications

Experiment Design and Data Processing

Academic Writing and Conference Presentation 

Dr. Zhang’s research is based on multi-sourced and heterogeneous information fusion, machine learning and optimization, combination of model driven and data driven methods, perception and prediction of driving environment, driving behavior, vehicle state and traffic state, as well as planning and optimization of transportation systems and EV infrastructures.

[1]. Research of UAV autonomous transmission line inspectionbased on multi-sourced information fusion, 2019.11-2021.06. Funded by China Southern Power Grid Co. Position: PI

[2]. Research on localization and attitude estimation of lawnmower and snowplow, 2019.11-2021.11. Funded by RATO Co. Position: PI

[3]. Research on EV charging infrastructure optimization based on large scale application, 2019.01-2021.12. Funded by National Key R&D Program. Position: Co-PI

[4]. Big data platform and demonstration of urban transportation management, 2019.01-2022.12, Funded by National Key R&D Program. Position: Co-PI

[5]. Development of diagnosis techniques for cable degradation, 2018.10-2019.06. Funded by Mitsubishi Heavy Industries. Position: PI

[6]. Research on inspection technologies of new energy vehicle, 2017.07-2020.06. Funded by Science and Technology Innovation Committee of Shenzhen. Position: Co-PI

[7]. Research on key technologies of logistics robot, 2017.07-2020.06. Funded by Science and Technology Innovation Committee of Shenzhen. Position: Co-PI

[8]. Research on key technologies of ADAS based on real time panoramic system, 2015.12-2017.12. Funded by Science and Technology Innovation Committee of Shenzhen. Position: PI

[9]. Collection and Analysis of big data of vehicle attitude and driving behavior, 2015.06-2018.06. Funded by Tsinghua SIGS. Position: PI

[10]. Research on acquiring and analyzing communication logs for improving reliability of distributed systems, 2015.03-2016.03. Funded by Mitsubishi Heavy Industries. Position: PI

60+ papers (SCI Q1: 8, Q2: 2, Q3: 2, Q4: 2) in 2016-2020, 30+ China & 14 Japan patents

[1].Feng Mao, Zhiheng Li, Kai Zhang, Carbon dioxide emissions estimation of conventional diesel buses electrification: A well-to-well analysis in Shenzhen, China, Journal of Cleaner Production, 277, 2020, DOI:10.1016/j.jclepro.2020.123048

[2].Jinping Guan, Kai Zhang, Qing Shen, Ying He, Dynamic Modal Accessibility Gap Measurement and Application Using Travel Routes Data, Transportation Research Part D, 81, 102272, 2020

[3].Fushi Lian, Bokui Chen, Kai Zhang, Lixin Miao, Jinchao Wu & Shichao Luan, Adaptive traffic signal control algorithms based on probe vehicle data, Journal of IntelligentTransportation Systems, 2020, DOI: 10.1080/15472450.2020.1750384

[4].Yuping Lin, Kai Zhang, Zuo-Jun Shen, Bin Ye, Lixin Miao, Multistage Large-scale Charging Station Planning for Electric Buses Considering Transportation Network and Power Grid, Transportation Research Part C,107, 423-443, 2019

[5].Yuping Lin, Kai Zhang, Zuo-Jun Shen, Lixin Miao, Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China, Sustainability, 11(17), 4713, 2019

[6].Nan Cui, Bokui Chen, Kai Zhang, Yi Zhang, Xiaotong Liu, Jun Zhou, Lixin Miao, Effects of route guidance strategies on traffic emissions in intelligent transportation systems.Physica A: Statistical Mechanics and its Applications, 513, 32-44, 2019

[7].Zhengping Li, Kai Zhang, Bokui Chen, Yuhan Dong, Lin Zhang, Driver identification in intelligent vehicle systems using machine learning algorithms, IET Intelligent Transport Systems, 13(1), 40-47, 2019

[8].Xiaotong Liu, Kai Zhang, Bokui Chen, Jun Zhou, Lixin Miao, Analysis of logistics service supply chain for the One Belt and One Road initiative of China. Transportation Research Part E, 117, 23-29, 2018

[9].Bokui Chen, David Z. W. Wang, Yachun Gao, Kai Zhang, Lixin Miao, Binghong Wang, Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems, Transportmetrica B: Transport Dynamics, 6(1), 4-16, 2018

[10].Jinchao Wu, Bokui Chen, Kai Zhang, Jun Zhou, Lixin Miao, Ant pheromone route guidance strategy in intelligent transportation systems. Physica A: Statistical Mechanics and its Applications. 503, 591-603, 2018

[11].Kai Zhang, Shaojun Liu, Yuhan Dong, Daoshun Wang, Yi Zhang, Lixin Miao, A Vehicle Positioning System with Multi-hypothesis Map Matching and Robust Feedback, IET Intelligent Transport Systems, 11(10), 649-658, 2017

[12].Nannan Hao，Yixiong Feng，Kai Zhang，Guangdong Tian，Hongfei Jia, Evaluation of traffic congestion degree: an integrated approach, International Journal of Distributed Sensor Networks, 13(7), 2017

[13].Bin Ye, Kai Zhang, JingJing Jiang, Lixin Miao, Ji Li, Towards a 90% renewable energy future: A case study of an island in the South China Sea, Energy Conversion and Management, 142, 28-41, 2017

[14].Weixi Gu, Kai Zhang, Zimu Zhou, Ming Jin, Yuxun Zhou, Xi Liu, Costas J. Spanos, Zuo-Jun (Max) Shen, Wei-Hua Lin, Lin Zhang, Measuring fine-grained metro interchange time via smartphones, Transportation Research Part C, 81, 153–171, 2017

[15].Xi Li, Huimin Ma, Xiang Wang, Kai Zhang, Saliency Detection via Alternative Optimization Adaptive Influence Matrix Model, Pattern Recognition Letters (2017), doi:10.1016/j.patrec.2017.11.006

Invited talks

- Multistage Large-scale Charging Station Planning for Electric Buses Considering Transportation Network and Power Grid, The 4th Steering Committee Meeting of the Sino-German Electric Mobility Cooperation between MoST and BMVI, Berlin, Germany, November 2019

- Thinking about autonomous driving testing from the perspective of artificial intelligence, Hamburg University of Applied Sciences, Hamburg, Germany, November 2019

- Exploring Human Stay Time Patterns from Mobile Phone Data, Tel-Aviv University, Tel-Aviv, Israel, February 2019

- Multistage Large-scale Charging Station Planning for Electric Buses Considering Transportation Network and Power Grid, UC Berkeley, USA, March 2018

- Panel Discussion: E-Mobility in urban development projects, E-Mobility: Challenges for Technology and Urban Infrastructure Development, Hamburg, Germany, September 2016

- Influence of EVs and Smart Transport, HafenCity University Hamburg, Germany, September 2016

- High-Accuracy Positioning for Road Pricing, The 3rd Shenzhen International Low Carbon City Forum, Shenzhen, China, June 2015

Contributed talks

- High Accuracy Positioning Based on IVICS, Symposium on Road Pricing & Traffic Management 2019, Kobe, Japan, April 2019

- Optimal Location and Sizing of Charging Stations for Electric Buses, 2017 IISE Annual Conference, Pittsburgh, USA, May 2017

- Trajectory-based Road Pricing, Symposium on Road Pricing & Traffic Management 2017, Kobe, Japan, April 2017

- Optimal Allocation of Electric-Bus Charging Stations Considering Electrical Distribution and Traffic Network, E-Mobility: Challenges for Technology and Urban Infrastructure Development, Hamburg, Germany, September 2016

- Methods to reduce the nodes of multi-hypothesis map matching algorithm, 23rd World Congress on Intelligent Transport Systems, Melbourne, Australia, October 2016

- Improvement of global map matching algorithm based on Fréchet distance, 21st World Congress on Intelligent Transport Systems, Detroit, USA, September 2014

Second Prize of Science and Technology Award, China ITS Association, 2020

First Prize of Huaxia Construction Science and Technology Award, Ministry of Housing and Urban-Rural Development of China, 2018

Third Prize of Science and Technology Award, China ITS Association, 2019

Excellent Master Thesis (Adviser), Tsinghua University, 2016, 2017, 2018, 2019, 2020

Excellent Graduate (Adviser), Tsinghua University, 2017, 2018, 2019, 2020

MVP, Mitsubishi Heavy Industries, 2010, 2011