APTE2024
Talks on the 13th Asia-Pacific Conference on Transportation and the Environment (APTE) 1
Talks on the 13th Asia-Pacific Conference on Transportation and the Environment (APTE) 1
Short description of portfolio item number 2 
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Published in Communications in Transportation Research, 2024
Autocorrelation-based Platooning Intensity (API) serves as a robust metric for quantifying the clustering strength of connected autonomous vehicles (CAVs) in mixed traffic. This study explores its application in approximating mixed traffic capacity, along with discussions on its definition, calculation, and probability distribution.
Recommended citation: Zhao, P., Wong, Y. D., & Zhu, F. (2024). Modeling the clustering strength of connected autonomous vehicles and its impact on mixed traffic capacity. Communications in Transportation Research, 4, 100151.
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Published in Transportation Research Part E: Logistics and Transportation Review, 2025
Recommended citation: Zhao, P., Wong, Y. D., & Zhu, F. (2025). Modeling and analysis of the platoon size of Connected Autonomous Vehicles in a mixed traffic environment. Transportation Research Part E: Logistics and Transportation Review, 199, 104130.
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Published in Transportation Research Part C: Emerging Technologies, 2025
Recommended citation: Zhao, P., Wong, Y. D., & Zhu, F. (2025). A platoon-centric approach to the capacity analysis of mixed traffic comprising connected and autonomous vehicles. Transportation Research Part C: Emerging Technologies, 177, 105170.
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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