How can connected and automated vehicles improve merging efficiency at freeway on-ramps?
Author:
Affiliation:
1. School of Traffic and Transportation Engineering, Central South University, Changsha, People’s Republic of China
2. Shanghai Key Laboratory of Urban Design and Urban Science, NYU Shanghai, Shanghai, People’s Republic of China
Funder
National Natural Science Foundation of China
Central South University
Shanghai Pujiang Program
Joint Laboratory for Internet of Vehicles, Ministry of Education-China Mobile Communications Corporation
Publisher
Informa UK Limited
Subject
General Engineering,Transportation
Link
https://www.tandfonline.com/doi/pdf/10.1080/23249935.2022.2149286
Reference35 articles.
1. Macroscopic traffic flow changes around ramps
2. Cooperative vehicle path generation during merging using model predictive control with real-time optimization
3. A platoon regulation algorithm to improve the traffic performance of highway work zones
4. Chang, Y., W. Yang, and D. Zhao. 2018. “Fuel Economy and Emission Testing for Connected and Automated Vehicles Using Real-World Driving Datasets.”
5. A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset
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