A hybrid machine-learning and optimization method to solve bi-level problems

SA Bagloee, M Asadi, M Sarvi, M Patriksson - Expert Systems with …, 2018 - Elsevier
Bi-level optimization has widespread applications in many disciplines including
management, economy, energy, and transportation. Because it is by nature a NP-hard …

Tradable mobility permit with Bitcoin and Ethereum–A Blockchain application in transportation

SA Bagloee, M Tavana, G Withers, M Patriksson… - Internet of Things, 2019 - Elsevier
Blockchain and its underlying technology have intrigued researchers with its promising
applications and implications as “the second internet”. There is a wide range of Blockchain …

Integrated path controlling and subsidy scheme for mobility and environmental management in automated transportation networks

F Zhang, J Lu, X Hu - Transportation Research Part E: Logistics and …, 2022 - Elsevier
In recent years, as automated vehicle (AV) technologies are advancing at a breathtaking
pace, path controlling has engaged increasing attentions among transportation researchers …

Multiobjective environmentally sustainable optimal design of dedicated connected autonomous vehicle lanes

Y Lin, H Jia, B Zou, H Miao, R Wu, J Tian, G Wang - Sustainability, 2021 - mdpi.com
The emergence of connected autonomous vehicles (CAVs) is not only improving the
efficiency of transportation, but also providing new opportunities for the sustainable …

[HTML][HTML] A bi-level framework for heterogeneous fleet sizing of ride-hailing services considering an approximated mixed equilibrium between automated and non …

Q Fan, JT van Essen, GHA Correia - European Journal of Operational …, 2024 - Elsevier
Ride-hailing companies will face the emergence and gradual expansion of AVs-only zones
in urban areas where only automated vehicles (AVs) are allowed to circulate. When owning …

Optimal deployment of autonomous buses into a transit service network

Q Tian, DZW Wang, YH Lin - Transportation Research Part E: Logistics and …, 2022 - Elsevier
Autonomous vehicles empowered by emerging automation technologies are highly
anticipated to be introduced into public transit service operations in the future mobility …

Optimal design of differentiated credit charging links in mixed-autonomy transportation networks

F Zhang, J Lu, X Hu, X Liu, J Chen - Applied Mathematical Modelling, 2022 - Elsevier
In this paper, we investigate a novel driveway management strategy, namely deploying
autonomous vehicle/credit charging links in mixed-autonomy transportation networks. Such …

When and where should there be dedicated lanes under mixed traffic of automated and human-driven vehicles for system-level benefits?

A Kumar, S Guhathakurta, S Venkatachalam - Research in Transportation …, 2020 - Elsevier
Automated vehicle (AV) technology is rapidly moving towards reality and will be mature
within the next decade. However, the physical, institutional, and legal infrastructure for …

A match‐then‐predict method for daily traffic flow forecasting based on group method of data handling

X Song, W Li, D Ma, D Wang, L Qu… - Computer‐Aided Civil …, 2018 - Wiley Online Library
Forecasting daily traffic flow in the future is one of the most critical components in traffic
management to improve operational efficiency. This article aims to address the daily traffic …

Pricing of connected and autonomous vehicles in mixed-traffic networks

P Delle Site - Transportation Research Record, 2021 - journals.sagepub.com
For networks with human-driven vehicles (HDVs) only, pricing with arc-specific tolls has
been proposed to achieve minimization of travel times in a decentralized way. However, the …