Reconstructing vehicle trajectories on freeways based on motion detection data of connected and automated vehicles-Reference-Cited by-同舟云学术

Reconstructing vehicle trajectories on freeways based on motion detection data of connected and automated vehicles

Published:2021-07-30 Issue: Volume: Page:1-16
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Chen Peng¹,Wang Tong¹,Zheng Nan²

Affiliation:

1. Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, China

2. Department of Civil Engineering, Monash University, Melbourne, Australia

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/10.1080/15472450.2021.1955211

Reference44 articles.

1. Vehicle trajectory reconstruction for signalized intersections: A hybrid approach integrating Kalman Filtering and variational theory

2. Modeling arterial travel time distribution by accounting for link correlations: a copula-based approach

3. An Exploratory Shockwave Approach to Estimating Queue Length Using Probe Trajectories

4. Estimating travel times and vehicle trajectories on freeways using dual loop detectors

5. Vehicle trajectory reconstruction using automatic vehicle identification and traffic count data

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