State-of-the-art review on traffic control strategies for emergency vehicles

W Yu, W Bai, W Luan, L Qi - IEEE Access, 2022 - ieeexplore.ieee.org
Emergency vehicles (EVs) play an essential role in emergency services. One of the most
intuitive indicators of the emergency service process is the response time of EVs. This …

Novel formulations and improved differential evolution algorithm for optimal lane reservation with task merging

P Wu, L Xu, A D'Ariano, Y Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates a new lane reservation problem with task merging that consists of
optimally determining which lanes in a transportation network have to be reserved and …

Using frequency domain analysis to elucidate travel time reliability along congested freeway corridors

Q Cheng, Z Liu, J Lu, G List, P Liu, XS Zhou - Transportation research part B …, 2024 - Elsevier
Travel time reliability (TTR) is an essential measure of service for traffic performance
management, especially for congested freeway corridors. This paper proposes a systematic …

Book-ahead ride-hailing trip and its determinants: Findings from large-scale trip records in China

W Li, S Zhao, J Ma, OA Nielsen, Y Jiang - Transportation Research Part A …, 2023 - Elsevier
The cruising of ride-hailing vehicles generates negative externalities such as traffic
congestion and vehicular emissions. These externalities can be mitigated by reducing …

Review of Traffic Assignment and Future Challenges

M Elimadi, A Abbas-Turki, A Koukam, M Dridi… - Applied Sciences, 2024 - mdpi.com
The problem of traffic assignment consists of determining the routes taken by the users of
transportation infrastructure. This problem has been the subject of numerous studies …

Bi-objective bi-level optimization for integrating lane-level closure and reversal in redesigning transportation networks

Q Zhang, SQ Liu, A D'Ariano - Operational Research, 2023 - Springer
Traditionally, traffic congestion was alleviated through significantly upgrading the
infrastructure of transportation networks. However, building new roads or adding more lanes …

A knowledge-assisted reinforcement learning optimization for road network design problems under uncertainty

SW Chiou - Knowledge-Based Systems, 2024 - Elsevier
A knowledge-assisted reinforcement learning evolution optimization (KARLEO) is presented
for a road network under uncertain demand and capacity. In order to hedge against …

Pre-trip reservation enabled route guidance and signal control cooperative method for improving network throughput

J Wang, L You, J Hang, J Zhao - Physica A: Statistical Mechanics and Its …, 2023 - Elsevier
With the ever-increasing traffic demand, efficient urban traffic operation is facing more and
more pressure and challenges. Route guidance and signal control are effective methods to …

Bi-level optimization for customized bus routing serving passengers with multiple-trips based on state–space–time network

Y Guan, W Xiang, Y Wang, X Yan, Y Zhao - Physica A: Statistical Mechanics …, 2023 - Elsevier
The emerging customized bus (CB) can serve personalized trip requests in a more flexible
and convenient way, especially for passengers who have multiple-trip requests in a short …

GATC and DeepCut: Deep spatiotemporal feature extraction and clustering for large-scale transportation network partition

Y Zhang, L Li, W Zhang, Q Cheng - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
The network partition is an important method for many key transport problems, eg, transport
network zoning, parallel computing of traffic assignment problem, and analysis of the …