Simultaneous modeling of car-following and lane-changing behaviors using deep learning

X Zhang, J Sun, X Qi, J Sun - Transportation research part C: emerging …, 2019 - Elsevier
Car-following (CF) and lane-changing (LC) behaviors are two basic movements in traffic
flow which are generally modeled separately in the literature, and thus the interaction …

Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area

X Hu, J Sun - Transportation Research Part C: Emerging …, 2019 - Elsevier
Merging areas on freeways are primary locations for bottlenecks due to vehicles' mandatory
lateral conflicts. These critical conflicts, however, are potentially avoidable with Connected …

Safety performance evaluation of freeway merging areas under autonomous vehicles environment using a co-simulation platform

P Chen, H Ni, L Wang, G Yu, J Sun - Accident Analysis & Prevention, 2024 - Elsevier
Merging areas serve as the potential bottlenecks for continuous traffic flow on freeways.
Traffic incidents in freeway merging areas are closely related to decision-making errors of …

A two-dimensional simulation model for modelling turning vehicles at mixed-flow intersections

Z Ma, J Sun, Y Wang - Transportation Research Part C: Emerging …, 2017 - Elsevier
The turning behavior is one of the most challenging driving maneuvers under non-protected
phase at mixed-flow intersections. Currently, one-dimensional simulation models focus on …

Stochastic modeling of breakdown at freeway merge bottleneck and traffic control method using connected automated vehicle

Y Han, S Ahn - Transportation research part B: methodological, 2018 - Elsevier
This paper proposes a novel breakdown probability model based on microscopic driver
behavior for a freeway merge bottleneck. Extending Newell's car following model to describe …

Autonomous vehicles' turning motion planning for conflict areas at mixed-flow intersections

D Zhou, Z Ma, J Sun - IEEE Transactions on Intelligent Vehicles, 2019 - ieeexplore.ieee.org
An essential and challenging task for autonomous vehicles (AVs) is turning at mixed-flow
intersections when they interact with motorized, non-motorized and pedestrian traffic …

Modeling and analysis of merging behavior at expressway on-ramp bottlenecks

J Sun, J Ouyang, J Yang - Transportation Research Record, 2014 - journals.sagepub.com
Merging behavior is inevitable for drivers at on-ramp bottlenecks and a significant factor in
triggering a traffic breakdown. Empirical data were collected by extracting trajectories from …

Modeling the illegal lane-changing behavior of bicycles on road segments: Considering lane-changing categories and bicycle heterogeneity

Y Li, Y Ni, J Sun, Z Ma - Physica A: Statistical Mechanics and its …, 2020 - Elsevier
Road segments using traffic markings to separate the vehicle lane and the adjacent bicycle
lane are widely adopted on urban roads. Bicycles' illegal lane-changing behavior (ILC) is …

Two‐dimensional simulation of turning behavior in potential conflict area of mixed‐flow intersections

Z Ma, J Xie, X Qi, Y Xu, J Sun - Computer‐Aided Civil and …, 2017 - Wiley Online Library
The potential conflict area of intersection is the space where conflicting traffic flows pass
through in the same signal phase. At this area, turning vehicles interact with most traffic …

Exploring the congestion pattern at long-queued tunnel sag and increasing the efficiency by control

J Sun, T Li, M Yu, HM Zhang - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
The cross-river tunnel is an important facility for modern cities. It is usually a natural
bottleneck due to the changes in gradient, which is known as sag. Once a queue propagates …