Planning and decision-making for connected autonomous vehicles at road intersections: A review

S Li, K Shu, C Chen, D Cao - Chinese Journal of Mechanical Engineering, 2021 - Springer
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

Microscopic traffic modeling inside intersections: interactions between drivers

J Zhao, VL Knoop, M Wang - Transportation science, 2023 - pubsonline.informs.org
Microscopic traffic flow models enable predictions of traffic operations, which allows traffic
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …

[HTML][HTML] A single-layer approach for joint optimization of traffic signals and cooperative vehicle trajectories at isolated intersections

M Liu, J Zhao, S Hoogendoorn, M Wang - Transportation research part C …, 2022 - Elsevier
A joint control approach that simultaneously optimizes traffic signals and trajectories of
cooperative (automated) vehicle platooning at urban intersections is presented in this paper …

BIM-based traffic analysis and simulation at road intersection design

K Castañeda, O Sánchez, RF Herrera, E Pellicer… - Automation in …, 2021 - Elsevier
Traffic analysis at road intersections is an important activity in the project design and
planning phases because it allows selecting the most suitable traffic requirements and site …

A generic approach to eco-driving of connected automated vehicles in mixed urban traffic and heterogeneous power conditions

Y Hu, P Yang, M Zhao, D Li, L Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The connected automated vehicles (CAVs) are envisioned to be implemented most likely on
electric vehicles, while traditional fuel-powered manually-driven vehicles (MVs) would …

Unprotected left-turn behavior model capturing path variations at intersections

J Zhao, VL Knoop, J Sun, Z Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Path dispersion (the spatial distribution of vehicular paths) is an important feature of traffic
flow inside intersections and differs from traffic flow running along traffic lanes at road …

[HTML][HTML] Calibrating lane-changing models: Two data-related issues and a general method to extract appropriate data

Y Ali, Z Zheng, MCJ Bliemer - Transportation research part C: emerging …, 2023 - Elsevier
Lane-changing is a routine but difficult driving task with important implications on traffic flow
characteristics. Despite significant progresses in lane-changing decision modeling, lane …

A deep learning framework for modelling left-turning vehicle behaviour considering diagonal-crossing motorcycle conflicts at mixed-flow intersections

R Yao, W Zeng, Y Chen, Z He - Transportation research part C: emerging …, 2021 - Elsevier
With heterogeneous traffic agents moving at unprotected phase, severe crossing conflicts
are witnessed at mixed-flow intersections, especially when left-turning vehicles are …

Modeling illegal pedestrian crossing behaviors at unmarked mid-block roadway based on extended decision field theory

Y Wang, B Shen, H Wu, C Wang, Q Su… - Physica A: Statistical …, 2021 - Elsevier
There is a huge risk of accidents when pedestrians jaywalk across the road. It is a difficult
problem to predict and reduce the behavior of jaywalking. This paper proposes a dynamic …

An optimal control approach of integrating traffic signals and cooperative vehicle trajectories at intersections

M Liu, J Zhao, SP Hoogendoorn… - … B: transport dynamics, 2022 - Taylor & Francis
An integrated approach for optimising traffic signals and cooperative vehicle trajectories at
urban intersections is proposed. The upper layer determines the optimal signals using …