Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

M Shaygan, C Meese, W Li, XG Zhao… - … research part C: emerging …, 2022 - Elsevier
Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Review of clustering technology and its application in coordinating vehicle subsystems

C Zhang, W Huang, T Niu, Z Liu, G Li, D Cao - Automotive Innovation, 2023 - Springer
Clustering is an unsupervised learning technology, and it groups information (observations
or datasets) according to similarity measures. Develo** clustering algorithms is a hot topic …

Virtual track networks: A hierarchical modeling framework and open-source tools for simplified and efficient connected and automated mobility (CAM) system design …

J Lu, XS Zhou - Transportation Research Part C: Emerging …, 2023 - Elsevier
This study presents a novel framework and open-source tools for simulating and managing
connected and automated mobility (CAM) systems, taking into account their hierarchical …

Trajectory planning for connected and automated vehicles at isolated signalized intersections under mixed traffic environment

C Ma, C Yu, X Yang - Transportation research part C: emerging …, 2021 - Elsevier
Trajectory planning for connected and automated vehicles (CAVs) has the potential to
improve operational efficiency and vehicle fuel economy in traffic systems. Despite abundant …

Modeling and analysis of human-machine mixed traffic flow considering the influence of the trust level toward autonomous vehicles

L Sun, Z Cheng, D Kong, Y Xu, S Wen… - … modelling practice and …, 2023 - Elsevier
The mixed driving of human-driven vehicles (HVs) and autonomous vehicles (AVs) is an
inevitable stage of future traffic developments. As HV drivers have different trust levels …

Modelling connected and autonomous bus on dynamics of mixed traffic in partially connected and automated traffic environment

X Li, T Wang, W Xu, H Li, Y Yuan - Transportation Research Part E …, 2024 - Elsevier
Since connected and autonomous buses (CABs) have great potential of being operated in
partially connected environment and raise great impact on mixed traffic flow, this study …

Revolution on wheels: A survey on the positive and negative impacts of connected and automated vehicles in era of mixed-autonomy

W Yue, C Li, P Duan, FR Yu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of autonomous driving technology, it is foreseeable that connected
and automated vehicles (CAVs) will be fully popularized in people's lives. During this …

Influence of CAVs platooning on intersection capacity under mixed traffic

Y Wu, DZW Wang, F Zhu - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
With the emergence of connected and automated vehicles (CAVs), the mixed traffic
environment where conventional human-driven vehicles (HVs) share the road space with …

Assessing the impacts of connected-and-autonomous vehicle management strategy on the environmental sustainability of urban expressway system

C Liu, K Chen, Z Bao, ST Ng, C Zhang… - Sustainable Cities and …, 2023 - Elsevier
Urban expressway network has become essential for over 30% of road trips in urban areas,
making them significant in sha** environmental sustainability. Recently connected-and …

Lighthill-Whitham-Richards model for traffic flow mixed with cooperative adaptive cruise control vehicles

Y Qin, H Wang, D Ni - Transportation Science, 2021 - pubsonline.informs.org
In the future, road traffic will incorporate a random mix of manual vehicles and cooperative
adaptive cruise control (CACC) vehicles, where a CACC vehicle will degrade to an adaptive …