Journal article
Multiple-Factors Aware Car-Following Model for Connected and Autonomous Vehicles
Transportation research record, v 2676(2), pp 649-662
Feb 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The emergence of connected and autonomous vehicles (CAV) is of great significance to the development of transportation systems. This paper proposes a multiple-factors aware car-following (MACF) model for CAVs with the consideration of multiple factors including vehicle co-optimization velocity, velocity difference of multiple PVs, and space headway of multiple PVs. The Next Generation Simulation (NGSIM) dataset and the genetic algorithm are used to calibrate the parameters of the model. The stability of the MACF model is first theoretically proved and then empirically verified via numerical simulation experiments. In addition, the VISSIM software is partially redeveloped based on the MACF model to analyze mixed traffic flows consisting of human-driven vehicles and CAVs. Results show that the integration of CAVs based on the MACF model effectively improves the average velocity and throughput of the system.
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Details
- Title
- Multiple-Factors Aware Car-Following Model for Connected and Autonomous Vehicles
- Creators
- Huaqing Ma - South China University of TechnologyHao Wu - South China University of TechnologyYucong Hu - South China University of TechnologyZhiwei Chen - University of South FloridaJialing Luo - Foshan Urban Planning and Design Research Institute, Foshan, Guangdong, China
- Publication Details
- Transportation research record, v 2676(2), pp 649-662
- Publisher
- Sage
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000702430300001
- Scopus ID
- 2-s2.0-85125555352
- Other Identifier
- 991021890009404721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Civil
- Transportation
- Transportation Science & Technology