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Short-term prediction of border crossing time and traffic volume for commercial trucks: A case study for the Ambassador Bridge

  • Published:2016-02 Issue: Volume:63 Page:182-194
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Moniruzzaman Md,Maoh Hanna,Anderson William

Funder

FedDev Ontario

Canada Foundation of Innovation Infrastructure

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference35 articles.

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Truck Transit Time Prediction through GPS Data and Regression Algorithms in Mixed Traffic Scenarios;Mathematics;2024-06-28

2. RSAB-ConvGRU: A hybrid deep-learning method for traffic flow prediction;Multimedia Tools and Applications;2023-08-03

3. The Composite Technique for Predicting Traffic Flow Based on Missing Traffic Information: A Review;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

4. Traffic Flow Estimation using Graph Neural Network with Aggregation of Traffic Features;2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV);2022-12-11

5. Machine learning methods for commercial vehicle wait time prediction at a border crossing;Research in Transportation Economics;2021-11
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