Multi-agent DRL-based lane change with right-of-way collaboration awareness

J Zhang, C Chang, X Zeng, L Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Lane change is a common-yet-challenging driving behavior for automated vehicles. To
improve the safety and efficiency of automated vehicles, researchers have proposed various …

Cavsim: A microscopic traffic simulator for evaluation of connected and automated vehicles

J Zhang, C Chang, Z He, W Zhong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) are expected to play a vital role in the emerging
intelligent transportation system. In recent years, researchers have proposed various …

Autonomous vehicles testing considering utility-based operable tasks

J Ge, J Zhang, Y Zhang, D Yao… - Tsinghua Science and …, 2023 - ieeexplore.ieee.org
Virtual simulation testing of Autonomous Vehicles (AVs) is gradually being accepted as a
mandatory way to test the feasibility of driving strategies for AVs. Mainstream methods focus …

A Bi-level Network-wide Cooperative Driving Approach Including Deep Reinforcement Learning-based Routing

J Zhang, J Ge, S Li, S Li, L Li - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Cooperative driving of connected and automated vehicles (CAVs) has attracted extensive
attention and researchers have proposed various approaches. However, existing …

Task-Driven Controllable Scenario Generation Framework Based on AOG

J Ge, J Zhang, C Chang, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sampling, generation, and evaluation of scenarios are essential steps for intelligent testing
of autonomous vehicles. Since uncertainty in driving behavior always leads to different …

Comparative analysis of cooperative driving strategies for cavs at on-ramps

Z He, H Pei, Y Guo, D Yao, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper focuses on cooperative driving strategies at on-ramps and comprehensively
compares the performance of five representative strategies. The simulation results show that …

Unleashing the Power of Connected and Automated Vehicles: A Dedicated Link Strategy for Efficient Management of Mixed Traffic

J Zhang, Q Liu, S Li, L Li - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
The proper management of mixed traffic is crucial for unleashing the benefits of connected
and automated vehicles (CAVs). Generally, the benefits of CAVs can be categorized into …

Theoretical Analysis of Cooperative Driving at Idealized Unsignalized Intersections

S Li, J Zhang, Z Chen, L Li - Tsinghua Science and Technology, 2023 - ieeexplore.ieee.org
Cooperative driving is widely viewed as a promising method to better utilize limited road
resources and alleviate traffic congestion. In recent years, several cooperative driving …

MOSS: A Large-scale Open Microscopic Traffic Simulation System

J Zhang, W Ao, J Yan, C Rong, D Jin, W Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
In the research of Intelligent Transportation Systems (ITS), traffic simulation is a key
procedure for the evaluation of new methods and optimization of strategies. However …

[PDF][PDF] Los sistemas de información geográfica en la simulación basada en agentes: Un estudio de casos: e340

AM Román, JH Barrios, MM Espino - Revista Cubana de Ingeniería, 2022 - rci.cujae.edu.cu
Plantilla para la Revista Cubana de Ingenieria Page 1 Revista Cubana de Ingeniería Vol.
XIII (4) e340 (2022) ISSN: 2223-1781 Artículo Original Los sistemas de información …