Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images-Reference-Cited by-同舟云学术

Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images

Published:2022-01-30 Issue:3 Volume:27 Page:364-383
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Zhang Cheng¹^ORCID,Ho H. W.²^ORCID,Lam William H. K.²^ORCID,Ma Wei²^ORCID,Wong S. C.³^ORCID,Chow Andy H. F.⁴^ORCID

Affiliation:

1. Department of Traffic Engineering, University of Shanghai for Science and Technology, Shanghai, China

2. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China

3. Department of Civil Engineering, The University of Hong Kong, Hong Kong, China

4. Department of Advanced Design and Systems Engineering, City University of Hong Kong, Hong Kong, China

Funder

Research Grants Council of the Hong Kong Special Administrative Region, China

Research Institute for Sustainable Urban Development of the Hong Kong Polytechnic University

Francis S Y Bong Endowed Professorship in Engineering

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2022.2027767

Reference58 articles.

1. Comparing Heavy Vehicle and Passenger Car Lane-Changing Maneuvers on Arterial Roads and Freeways

2. Mode-Specific Travel Time Estimation Using Bluetooth Technology

3. Group-Sensitive Triplet Embedding for Vehicle Reidentification

4. Comparison of vehicle re-identification models for trucks based on axle spacing measurements

5. Study of Mandatory Lane Change Execution Behavior Model for Heavy Vehicles and Passenger Cars

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