Binliang Li

ORCID: 0000-0002-5370-9617
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About
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Research Areas
  • Transportation and Mobility Innovations
  • Electric Vehicles and Infrastructure
  • Transportation Planning and Optimization
  • Energy, Environment, and Transportation Policies
  • Urban Transport and Accessibility
  • Traffic Prediction and Management Techniques
  • Autonomous Vehicle Technology and Safety
  • Infrastructure Maintenance and Monitoring

Taxi network plays an important role in urban passenger transportation. However, its operation is greatly affected by weather, especially snowfalls cold region. In this study, we focus on the persistent effect of snowfall taxi and propose autoregressive distribution lag model (ARDL) to quantitatively analyse it. To support our GPS trajectory data collected Harbin, China, during 61 days from 1 November 31 December 2015 analysed. First, daily average order volume (DAOV) acquired through...

10.1155/2022/3215435 article EN cc-by Journal of Advanced Transportation 2022-03-20

Signal phase optimization at signalized intersection is of great importance to urban traffic control and management yet very challenging. The traditional approaches for signal heavily rely on the engineering practitioners' experience. To tackle these challenges, a novel data-driven method proposed realize recommendation solely using limited amount real samples. Firstly, all discrete features related design, encoded by one-hot representation, are sampled Gumbel-SoftMax distribution, which...

10.1109/tits.2022.3207815 article EN IEEE Transactions on Intelligent Transportation Systems 2022-09-28
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