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Data-Driven Solutions to Transportation Problems


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Table of Contents

1. Overview of Data-driven Transportation Science 2. Data-driven Energy Efficient Driving Control in Connected Vehicle Environment 3. Machine Learning and Computer Vision-Enabled Traffic Sensing Data Analysis and Quality Enhancement 4. Data Driven Approaches for Estimating Travel Time Reliability 5. Urban Travel Behavior Study Based on Data Fusion Model 6. Urban Travel Mobility Exploring with Large-Scale Trajectory Data 7. Public Transportation Big Data Mining and Analysis 8. Data Driven Gating Control for Network Based on Macroscopic Fundamental Diagram 9. Simulation-Based Optimization for Network Modeling with Heterogeneous Data 10. Network Modeling and Resilience Analysis of Air Transportation: A Data-Driven, Open-Source Approach

About the Author

Yinhai Wang is a Professor of Transportation Engineering and Founding Director of the Smart Transportation Applications and Research Laboratory at the University of Washington, Director for Pacific Northwest Transportation Consortium, Director of the University Transportation Center for Federal Region 10, and Visiting Chair of Traffic Information and Control at Harbin Institute of Technology. He a steering committee member of the IEEE Smart Cities and President of the American Society of Civil Engineers Transportation and Development Institute. Dr. Wang's research include traffic sensing, e-science of transportation, big-data analytics, traffic operations and simulation, smart urban mobility, transportation safety, etc. He has written more than 120 peer reviewed journal articles and delivered more than 130 invited talks and 200 other academic presentations. Dr. Wang is Associate Editor of Journal of ITS, Journal of Computing in Civil Engineering, and Journal of Transportation Engineering. Ziqiang Zeng is a Research Associate in Transportation Engineering at the University of Washington. He is the co-author of Fuzzy-Like Multiple Objective Multistage Decision Making (Springer, 2015) and author of peer-reviewed papers in journals such as IEEE Transactions on Fuzzy Systems, Computer-aided Civil and Infrastructure Engineering, Journal of Construction Engineering and Management-ASCE, Journal of Computing in Civil Engineering-ASCE, Applied Mathematical Modelling, Engineering Optimization. His research includes intelligent transportation systems, data-driven decision making, and transportation safety analysis.

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