Estimation of traffic energy consumption based on macro-micro modelling with sparse data from Connected and Automated Vehicles

WL Shang, M Zhang, G Wu, L Yang, S Fang… - Applied Energy, 2023 - Elsevier
Traffic energy consumption estimation is significant for the sustainable transportation.
However, it is difficult to directly employ macro traffic flow data to accurately estimate the …

Integrated macro-micro modelling for individual vehicle trajectory reconstruction using fixed and mobile sensor data

X Chen, J Yin, G Qin, K Tang, Y Wang, J Sun - … Research Part C: Emerging …, 2022 - Elsevier
Vehicle trajectories can provide a clear picture of the traffic flow that plays a pivotal role in
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …

Vehicle trajectory reconstruction at signalized intersections under connected and automated vehicle environment

X Chen, J Yin, K Tang, Y Tian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicle trajectories can provide a clear picture of traffic flow, which facilitates traffic state
estimation and signal control optimization at intersections. Connected and Automated …

Vehicle trajectory reconstruction for intersections: an integrated wavelet transform and Savitzky-Golay filter approach

J Zhao, X Yang, C Zhang - Transportmetrica A: transport science, 2024 - Taylor & Francis
Reconstructing vehicle trajectories is an essential step in obtaining high-precision vehicle
trajectory data owing to observation errors. Although considerable efforts have been made …

Trajectory reconstruction for mixed traffic flow with regular, connected, and connected automated vehicles on freeway

Z Yao, M Liu, Y Jiang, Y Tang… - IET Intelligent Transport …, 2024 - Wiley Online Library
Vehicular trajectory data collected by connected automated vehicles (CAVs) is minimal due
to the low penetration rates (PRs) of CAVs, and fail to capture the characteristics of traffic …

Turn-level network traffic bottleneck identification using vehicle trajectory data

L Wei, P Chen, Y Mei, Y Wang - Transportation research part C: emerging …, 2022 - Elsevier
Identifying traffic bottlenecks is a prerequisite to alleviate traffic congestion in urban
networks. However, the state-of-the-art methods for bottleneck identification stay at the …

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

P Chen, T Wang, N Zheng - Journal of Intelligent Transportation …, 2022 - Taylor & Francis
Determining the trajectories of all vehicles on freeways is a challenging yet critical topic as
trajectories reflect the characteristics of traffic flow and serve as a good basis for traffic …

High-resolution reconstruction of non-motorized trajectory in shared space: A new approach integrating the social force model and particle filtering

Z Yan, L Yue, J Sun - Expert Systems with Applications, 2023 - Elsevier
High-resolution trajectory data from the intersection shared space (ISS) is an ideal resource
for testing autonomous driving and studying microscopic traffic flow theory in urban road …

Vehicle trajectory reconstruction incorporating probe and fixed sensor data

Y Deng, Q Cao, G Ren, J Ma, S Zhu - Journal of transportation …, 2023 - ascelibrary.org
Trajectory estimation is essential for obtaining a complete picture of traffic flow with limited
and continuously detected traffic data, which are helpful in evaluating transportation …

Trajectory-based vehicle emission evaluation for signalized intersection using roadside LiDAR data

Y Wang, C Lin, B Zhao, B Gong, H Liu - Journal of Cleaner Production, 2024 - Elsevier
Signalized intersections are the bottleneck of urban traffic network and often lead to traffic
congestion and increased traffic emissions. Studying and analyzing the spatiotemporal …