Traffic light optimization with low penetration rate vehicle trajectory data

X Wang, Z Jerome, Z Wang, C Zhang, S Shen… - Nature …, 2024 - nature.com
Traffic light optimization is known to be a cost-effective method for reducing congestion and
energy consumption in urban areas without changing physical road infrastructure. However …

The impacts of connected autonomous vehicles on mixed traffic flow: A comprehensive review

Y Pan, Y Wu, L Xu, C Xia, DL Olson - Physica A: Statistical Mechanics and …, 2024 - Elsevier
The rapid improvements in communication and self-driving technology in recent years have
made connected autonomous cars an essential component of urban road transit. Connected …

A survey on reinforcement learning-based control for signalized intersections with connected automated vehicles

K Zhang, Z Cui, W Ma - Transport Reviews, 2024 - Taylor & Francis
Recent advancements in connected automated vehicles (CAVs) and reinforcement learning
(RL) hold significant promise for enhancing intelligent traffic control systems. This paper …

[HTML][HTML] Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning

J Wang, Z Jiang, YV Pant - Knowledge-Based Systems, 2024 - Elsevier
As autonomous vehicles (AVs) become more common on public roads, their interaction with
human-driven vehicles (HVs) in mixed traffic is inevitable. This requires new control …

Enhancing safety in mixed traffic: Learning-based modeling and efficient control of autonomous and human-driven vehicles

J Wang, YV Pant, L Zhao, M Antkiewicz… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the increasing presence of autonomous vehicles (AVs) on public roads, developing
robust control strategies to navigate the uncertainty of human-driven vehicles (HVs) is …

Multi-objective coordinated control strategy for mixed traffic with partially connected and automated vehicles in urban corridors

C Wan, X Shan, P Hao, G Wu - Physica A: Statistical Mechanics and its …, 2024 - Elsevier
In the urban corridor with a mixed traffic composition of connected and automated vehicles
(CAVs) alongside human-driven vehicles (HDVs), vehicle operations are intricately …

Signal optimization at an isolated intersection under cyclic vehicle arrivals using spatially sparse trajectory data

L Wan, W Ma, HK Lo, C Yu - Transportation Research Part C: Emerging …, 2024 - Elsevier
Existing trajectory-based signal timing studies either assume time-invariant vehicle arrivals
or require high penetration rates of connected vehicles (CVs). However, vehicle arrivals at …

Integrated optimization of traffic signal timings and vehicle trajectories considering mandatory lane-changing at isolated intersections

Q Liu, K Zhang, M Li, X Chen, X Lin, S Li - Transportation Research Part C …, 2024 - Elsevier
Intersections are the predominant bottlenecks in urban areas due to the intricate conflicts
among vehicles with different movements. With the advent of connected and automated …

Fundamental diagram of mixed traffic flow of CAVs with different connectivity and automation levels

Y Jiang, H Chen, H Cong, Y Wu, Z Yao - Physica A: Statistical Mechanics …, 2024 - Elsevier
This paper proposes the fundamental diagram model for a mixed traffic flow environment
that considers different car-following modes under various levels of automation and …

Development and experiment of an intelligent connected cooperative vehicle infrastructure system based on multiple V2I modes and BWM-IGR method

C Li, C Xu, Y Chen, Z Li - Physica A: Statistical Mechanics and its …, 2024 - Elsevier
To increase the efficiency and safety of expressway, this paper constructed a new intelligent
connected cooperative vehicle infrastructure system and its effectiveness was verifid from …