Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

Y Liu, F Wu, C Lyu, S Li, J Ye, X Qu - Transportation Research Part E …, 2022 - Elsevier
The vehicle dispatching system is one of the most critical problems in online ride-hailing
platforms, which requires adapting the operation and management strategy to the dynamics …

Enhanced index of risk assessment of lane change on expressway weaving segments: A case study of an expressway in China

J Zhang, J Lee, M Abdel-Aty, O Zheng… - Accident Analysis & …, 2023 - Elsevier
Vehicles frequently change lanes at weaving segments, and there is a high probability of
collision. To assess the risk of lane change, this study proposes a novel lane change risk …

An integrated traffic and vehicle co-simulation testing framework for connected and autonomous vehicles

Y Shi, Z Liu, Z Wang, J Ye, W Tong… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Simulation testing is critical for the development and optimization of connected and
autonomous vehicle (CAV) driving systems. Existing simulation tools for autonomous driving …

A local traffic characteristic based dynamic gains tuning algorithm for cooperative adaptive cruise control considering wireless communication delay

Y Zhang, B Tian, Z Xu, S Gong, Y Gao, Z Cui… - … Research Part C …, 2022 - Elsevier
Due to the inevitable existence of wireless communication delay, the string stability of
cooperative adaptive cruise control (CACC) platoon systems may not be guaranteed if the …

[HTML][HTML] Development of a framework for generating driving safety assessment scenarios for automated vehicles

W Ko, S Park, J Yun, S Park, I Yun - Sensors, 2022 - mdpi.com
Despite the technological advances in automated driving systems, traffic accidents involving
automated vehicles (AVs) continue to occur, raising concerns over the safety and reliability …

A parallel computing framework for large-scale microscopic traffic simulation based on spectral partitioning

Z Liu, S Xie, H Zhang, D Zhou, Y Yang - Transportation Research Part E …, 2024 - Elsevier
This paper introduces a parallel computing framework based on the Spectral Partitioning
(SP) method designed to enhance the computational efficiency of large-scale microscopic …

Optimal matching between vehicle speed and lighting at intersection based on traffic risk analysis

H Li, L Wang, H Hu, Y Bie - ASCE-ASME Journal of Risk and …, 2023 - ascelibrary.org
Smart streetlamps, which can automatically adjust luminance by sensing information about
passing vehicles, are gradually becoming an integral part of smart cities. However, when …

Impact of Construction Work Zone on Urban Traffic Environment

T Vyas, HR Varia - International Journal on Smart Sensing and …, 2023 - sciendo.com
Objectives Traffic management is challenging during construction because of the effects of
traffic congestion, travel time, delay, and queue length. Long-term work zones on urban …

A systematic study on the challenges, characteristics and security issues in vehicular networks

F Lone, HK Verma, KP Sharma - International Journal of Pervasive …, 2023 - emerald.com
Purpose The purpose of this study is to extensively explore the vehicular network paradigm,
challenges faced by them and provide a reasonable solution for securing these vulnerable …

An innovative approach of determining the sample data size for machine learning models: a case study on health and safety management for infrastructure workers.

H Wang, W Yi, Y Liu - Electronic Research Archive, 2022 - search.ebscohost.com
Numerical experiment is an essential part of academic studies in the field of transportation
management. Using the appropriate sample size to conduct experiments can save both the …