Li Dawei

发布者:李天明发布时间:2018-03-09浏览次数:50

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Dawei Li

Ph.D., Associate Professor

Deputy Director, Transportation Engineering Research Institute

  

School of Transportation, Southeast University

Sipailou 2, Nanjing, Jiangsu Province, China, 210096

Tel: (+86) 25 83795642

Mobile: (+86) 18651831648

E-maillidawei@seu.edu.cn

  

Date of Birth: 2 Oct 1987


Place of Birth: Lianyungang, Jiangsu, China


  

Research Interests

  

Behavior analysis; Data driven transportation system analysis; Transportation demand forecasting, Transportation system simulation; Green mobility; ITS.

  

Academic and Professional Positions

  

Chairman, Future Urban Comprehensive Transportation System Technical Committee, WTC

  

Teaching Courses

  

Undergraduate Courses: Transportation Engineering Foundation; Transportation Economics

Graduate Courses: Data Analysis and Modeling

  

Education

  

2004/09/01-2008/07/01Bachelor' Degree, School of Transportation, Southeast University, China

2009/09/01-2011/07/01Master Degree, School of Transportation, Southeast University, China

2011/10/01-2014/03/25Ph.D. Degree, Graduate School of Environmental Studies, Nagoya University, Japan

  

Work Experience

  

2008/08/01-2009/07/01Volunteer Teacher, Zhunger NO.1 High School of Inner Mogolia

2014/10/18-2014/12/14Singapore-MIT Alliance for Research and Technology (SMART), Singapore

2014/04/01-2014/08/01Postdoctoral Researcher, Green Mobility Research Center, Nagoya University, Japan

2014/08/01-2017/04/01Lecturer, School of Transportation, Southeast University, China

2017/04/01- Present Associate Professor, School of Transportation, Southeast University, China

2018/07/16- Present Hong Kong Scholar, The Hong Kong Polytechnic University, Hong Kong, China

Selected Research Projects

  

The National Key Research and Development Program of China, Urban Intelligent Transportation System Development for One Belt and One Road Cities in complex environment, 2017/9-2020/8, Co-investigator.

Consulting Project of the Chinese Academy of Engineering, Sustainable development Strategies of Urban Constructions in China, 2017/1-2018/12, Co-investigator.

NSFC Project, Driving Behavior Risk Index Model Based on Benchmarking Method, 2018/1-2020/12, Co-Investigator.

NSFC Project, Travel Feature Mining and Demand Forecasting Based on Multi-Source Data Fusion, 2018/1-2020/12, Co-Investigator

NSFC Project, Active Safety Evaluation and Design Optimization of Signal Intersections Based on Video Traffic Conflicts, 2018/1-2020/12, Co-Investigator.

NSFC Project, Generalized Route Choice Modeling in Multi-Modal Transportation Networks Considering Daily Activity Schedules, 2017/1-2019/12, Principal Investigator.

NSFC Project, Travelers’ Activity and Travel Behavior in Multi-Modal Transit Networks Based on Temporal and Spatial Accessibility, 2017/1-2019/12, Co-Investigator.

NSFC Project, Bayesian Estimation Methods for OD Matrixes Considering Randomness of the Observed Data, 2016/1-2019/12, Co-Investigator.

NSFC Project, Traffic Safety Evaluation and Optimization Design Method of Urban Road Network, 2016/1-2018/12, Co-Investigator.

NSFC Project, Speed limit design and optimization for congestion bottlenecks of Expressways, 2016/1-2018/12, Co-Investigator

NSFC-RCUK_EPSRC Cooperation Project, conducted by Southeast University, Imperial College London and University of Newcastle, Low Carbon Transitions of Fleet Operations in Metropolitan Sites, 2015/9-2018/8Co-Investigator

Natural Science Funding Project of Jiangsu ProvinceRoute Choice Modeling for Multi-Modal Transportation Network c\Considering Daily Activity Patterns2015/7-2018/8Principal Investigator.

Cooperation Project with Michelin Corporation, France: Evolutionary generic fuel consumption model on the real life driving conditions of low RR tires for hybrid and full electric vehicles; 4/2014~8/2014, Researcher-Co-Investigator, responsible for the development of traffic simulation module.

Project in SMART: Development of the Integrated Simulation Platform: SimMobility10/2013-1/2014Internship, responsible for the development and parameter estimation of route choice models.

Cooperation project with CenNavi Corporation, China: Dynamic Route Choice Modeling based on GPS data of Taxis, 10/2011-4/2012, Researcher-Co-Investigator, responsible for modeling drivers’ dynamic perceptions.

National High-tech R&D Program, China: Traffic state monitor system for sparse high way network. 2009/09-2012/06Researcher-Co-Investigator, responsible for development of incident detection algorithms and incident impact evaluation methods.

  

Selected Application Projects

Traffic Operation Evaluation and Network Planning Optimization of Ningbo Expressway Network, 2017

Five Year Plan for Urban Traffic Quality Promotion in Shangyu, 2017

Intelligent Transportation System Planning for Shangyu District. 2017

Evaluation of the Upgrade and Renovation Project of Jinliwen Highway Mechanical and Electrical System (2014-2016), 2017

  

List of Dissertations

Ph.D.:Incorporating Heterogeneity in Route Choice Modeling: Methodology and Case Studies Using GPS Data.

Master: Real-time Incident Detection and Estimation Based on Bayesian Networks (The Outstanding Master Degree Dissertation of Jiangsu Province)

Bachelor:Modeling and Analysis of Road Network Based on TransCAD (Excellent, Top 10%)

  

Selected Publications

Ma, Jie, Dawei Li, Lin Cheng, Xiaoming Lou, Chao Sun, and Wenyun Tang. Link Restriction: Methods of Testing and Avoiding Braess Paradox in Networks Considering Traffic Demands. Journal of Transportation Engineering, Part A: Systems 144, no. 2 (2018): 04017076.

  

Zhu, S., Y. Guo, J. Chen, D. Li, and L. Cheng. Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation. Sensors 17, no. 8 (2017): 1767.

  

Xu, Chengcheng, Dawei Li, Zhibin Li, Wei Wang, and Pan Liu. Utilizing Structural Equation Modeling and Segmentation Analysis in Real-Time Crash Risk Assessment on Freeways. KSCE Journal of Civil Engineering, no. 2 (2017): 1-9.

  

Li, Zhibin, Chengcheng Xu, Dawei Li, Pan Liu, and Wei Wang. Comparing the Effects of Ramp Metering and Variable Speed Limit on Reducing Travel Time and Crash Risk at Bottlenecks. Iet Intelligent Transport Systems(2017).

  

Li, Dawei, Xiaojian Hu, Cheng Jie Jin, and Jun Zhou. Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers. Discrete Dynamics in Nature & Society 2017, no. 1 (2017): 1-9.

  

Jin, Cheng Jie, Rui Jiang, Jun Lin Yin, Li Yun Dong, and Dawei Li. Simulating Bi-Directional Pedestrian Flow in a Cellular Automaton Model Considering the Body-Turning Behavior. Physica A Statistical Mechanics & Its Applications 482 (2017): 666-81.

  

Chao, Sun, Cheng Lin, Dawei Li, Ma Jie, Tu Qiang, School Of Transportation, and Southeast University. Stochastic Network Equilibrium Model with Reliable Travel Time Confidence Level. Journal of Southeast University (English Edition), 33, no. 3 (2017): 330-34.

  

Li, Dawei, Tomio Miwa, Takayuki Morikawa, and Pan Liu. Incorporating Observed and Unobserved Heterogeneity in Route Choice Analysis with Sampled Choice Sets. Transportation Research Part C: Emerging Technologies 67 (6// 2016): 31-46.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Modeling Time-of-Day Car Use Behavior: A Bayesian Network Approach. Transportation Research Part D: Transport and Environment 47 (8// 2016): 54-66.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Analysis of Vehicles’ Daily Fuel Consumption Frontiers with Long-Term Controller Area Network Data. Transportation Research Record: Journal of the Transportation Research Board, no. 2503 (2015): 100-09.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Considering En-Route Choices in Utility-Based Route Choice Modelling. [In English]. Networks and Spatial Economics 14, no. 3-4 (2014/12/01 2014): 581-604.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Analysis of Car Usage Time Frontiers Incorporating Both Inter-and Intra-individual Variation with GPS Data. Transportation Research Record: Journal of the Transportation Research Board 2413, no. 1 (2014): 13-23.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Dynamic Route Choice Behavior Analysis Considering En Route Learning and Choices. Transportation Research Record: Journal of the Transportation Research Board 2383, no. 1 (2013): 1-9.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Use of Private Probe Data in Route Choice Analysis to Explore Heterogeneity in Drivers' Familiarity with Origin-Destination Pairs. Transportation Research Record: Journal of the Transportation Research Board 2338, no. 1 (2013): 20-28.

  

Li, Dawei, Lin Cheng, and Jiangshan Ma. Incident Duration Prediction Based on Latent Gaussian Naive Bayesian Classifier. International Journal of Computational Intelligence Systems 4, no. 3 (2011): 345-52.

  

Li, Dawei, and Lin Cheng. Incident Duration Prediction Based on Bayesian Network. Journal of Beijing Institute of Technology (English Edition) 19, no. Compendex (2010): 119-23.

  

Li, Dawei and Lin Cheng. Traffic Incident Duration PredictionA Bayesian Network Method Journal of Wuhan University of TechnologyTransportation ScienceEngineering 35, no. 5 (2011): 884-87.

  

Conference Presentations

Cao Qi, Gang Ren, and Dawei Li.  Multiple Spatio-Temporal Scales Traffic Forecasting Based on Deep Learning Approach  Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2017.

  

Lou, Xiaoming, Dawei Li, and Lin Cheng.  Modeling Day-to-Day Dynamics of Travelers’ Risky Route Choices under the Influence of Predictive Traffic Information  Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2017.

  

Huang, Kai, Dawei Li, Zhiyuan Liu, and Xuewu Chen.  The Distribution of Value of Travel Time with User Heterogeneity  Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2016.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Route Choice Analysis Incorporating both Observed and Unobserved Origin-Destination Specific Heterogeneity  Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2016.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa.  Analysis on Heterogeneity in Drivers’ Daily Fuel Consumption based on Multi-Level Model and Long Term Panel Data. Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2016.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa.  Analysis of Vehicles’ Daily Fuel Consumption Frontiers with Long-Term Controller Area Network Data. Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2015.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Analysis of Car Usage Time Frontiers Incorporating Both Inter-and Intra-individual Variation with GPS Data. Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2014.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Dynamic Route Choice Behavior Analysis Considering En Route Learning and Choices. Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2013.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Use of Private Probe Data in Route Choice Analysis to Explore Heterogeneity in Drivers' Familiarity with Origin-Destination Pairs. Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2013.

  

Li, Dawei, Tomio Miwa, and Takayuki Morikawa. Modeling Travelers' Perception of Travel Time for Dynamic Route Choice Behavior Analysis. Paper presented at the 19th ITS World Congress, 2012.

  

Li, Dawei, and Lin Cheng. Bayesian Network Classifiers for Incident Duration Prediction. Paper presented at the Transportation Research Board 90th Annual Meeting Washington DC, 2011.

  

Li, D. W., and L. Cheng. Incident Duration Prediction Based on Tree Augmented Naive Bayesian Classifier. In 15th International Conference of Hong Kong Society for Transportation Studies, edited by A. Sumalee, W. H. K. Lam, H. W. Ho and B. Siu, 407-14. Hong Kong: Hong Kong Soc Transportation Studies Ltd, 2010.

  

Li, Dawei, and Lin Cheng. A Situation Assessment Method of Traffic Incident Based on Bayesian Networks. Paper presented at the 2010 International Conference of Logistics Engineering and Management: Logistics for Sustained Economic Development - Infrastructure, Information, Integration, ICLEM 2010, October 8, 2010 - October 10, 2010, Chengdu, China, 2010.

  


江苏省南京市江宁区东南大学路2号

211189

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