Truck–drone hybrid routing problem with time-dependent road travel time

Y Wang, Z Wang, X Hu, G Xue, X Guan - Transportation Research Part C …, 2022 - Elsevier
Combining trucks and drones in package delivery provides a promising venue for a future
logistics system that is more efficient and sustainable than the existing one. However, how to …

[HTML][HTML] A meso-to-macro cross-resolution performance approach for connecting polynomial arrival queue model to volume-delay function with inflow demand-to …

XS Zhou, Q Cheng, X Wu, P Li, B Belezamo, J Lu… - Multimodal …, 2022 - Elsevier
Although the macroscopic volume-delay function (VDF) has been widely used in static traffic
assignment for transportation planning, the planning community has long recognized its …

Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach

J Huo, C Liu, J Chen, Q Meng, J Wang, Z Liu - Transportation Research Part …, 2023 - Elsevier
This study focuses on dynamic origin–destination demand estimation problem on freeway
networks. Existing studies on this problem rely on high-coverage of traffic measurements …

Virtual track networks: A hierarchical modeling framework and open-source tools for simplified and efficient connected and automated mobility (CAM) system design …

J Lu, XS Zhou - Transportation Research Part C: Emerging …, 2023 - Elsevier
This study presents a novel framework and open-source tools for simulating and managing
connected and automated mobility (CAM) systems, taking into account their hierarchical …

Urban network-wide traffic volume estimation under sparse deployment of detectors

J Xing, R Liu, Y Zhang, CF Choudhury… - … A: Transport Science, 2024 - Taylor & Francis
Sensing network-wide traffic information is fundamental for the sustainable development of
urban planning and traffic management. However, owing to the limited budgets or device …

Rich arc routing problem in city logistics: Models and solution algorithms using a fluid queue-based time-dependent travel time representation

J Lu, Q Nie, M Mahmoudi, J Ou, C Li… - … Research Part B …, 2022 - Elsevier
City logistics, as an essential component of the city operation system, aims at managing the
complex flow of goods and services from providers to customers efficiently. Delays …

Physics-informed neural networks for integrated traffic state and queue profile estimation: A differentiable programming approach on layered computational graphs

J Lu, C Li, XB Wu, XS Zhou - Transportation Research Part C: Emerging …, 2023 - Elsevier
This paper presents an integrated framework for physics-informed joint traffic state and
queue profile estimation (JSQE) on freeway corridors, utilizing heterogeneous data sources …

Quantify the road link performance and capacity using deep learning models

J Huo, X Wu, C Lyu, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The link performance and capacity are important quantitative features in road link
performance assessment, and they play vital roles in many important transportation tasks …

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 …

IG-Net: An interaction graph network model for metro passenger flow forecasting

P Li, S Wang, H Zhao, J Yu, L Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The urban metro system accommodates significant travel demand and alleviates traffic
congestion. Improving metro operational efficiency can increase the metro operator revenue …