Big data-driven governance of smart sustainable intelligent transportation systems: Autonomous driving behaviors, predictive modeling techniques, and sensing and …

A Novak, AN Sedlackova, M Vochozka… - … Readings in Law and …, 2022 - ceeol.com
This article reviews and advances existing literature concerning com-puter vision and route
planning algorithms, sensing and computing technologies, and vehicle and pedestrian …

The algorithmic governance of autonomous driving behaviors: Multi-sensor data fusion, spatial computing technologies, and movement tracking tools

M Kovacova, J Oláh, J Popp, E Nica - Contemporary Readings in Law …, 2022 - ceeol.com
This paper provides a systematic literature review of studies investigating autonomous
driving technologies, lane detection algorithms, and adaptive and dynamic route planning …

An autonomous vehicle exclusive lane design problem under the mixed autonomy traffic environment: Model formulation and large-scale algorithm design

T Wang, Y Li, B Jia, J Long - Transportation Research Part E: Logistics and …, 2024 - Elsevier
With the development of self-driving, urban network will face a hybrid stage where both
connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs) coexist. Due to …

Optimal feedback control law for automated vehicles in the presence of cyberattacks: A min–max approach

S Wang, MW Levin, R Stern - Transportation research part C: emerging …, 2023 - Elsevier
While automated vehicles (AVs) are expected to bring a wide range of benefits to future
transportation systems, emerging AV technologies open a door for cyberattacks, where a …

Time for hydrogen buses? Dynamic analysis of the Hong Kong bus market

Z Wang, J Yu, G Li, C Zhuge, A Chen - Transportation Research Part D …, 2023 - Elsevier
The tradeoff between hydrogen buses (H-buses) and electric bus (E-buses) is an important
issue in public transportation electrification. This study investigated the feasibility and policy …

[HTML][HTML] Estimation of discrete choice models considering simultaneously multiple objectives and complex data characteristics

PB Beeramoole, R Kelly, MM Haque, A Pinz… - … Research Part C …, 2024 - Elsevier
This paper focuses on the discrete choice estimation problem, which involves multiple
objectives and testing a broad range of hypotheses that can affect both interpretability and …

Analytical characterization of cyberattacks on adaptive cruise control vehicles

S Wang, M Shang, R Stern - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
While automated vehicles (AVs) are expected to revolutionize future transportation systems,
emerging AV technologies also open the door for malicious actors to compromise intelligent …

Real-time traffic prediction considering lane changing maneuvers with application to eco-driving control of electric vehicles

S He, S Wang, Y Shao, Z Sun… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Emerging vehicle sensing and communication technologies allow for real-time information
exchange between connected vehicles (CVs) and intelligent infrastructure. This presents a …

Socially responsible technologies in autonomous mobility systems: Self-driving car control algorithms, virtual data modeling tools, and cognitive wireless sensor …

K Valaskova, J Horak, G Lăzăroiu - … Readings in Law and Social Justice, 2022 - ceeol.com
We draw on a substantial body of theoretical and empirical research on smart infrastructure
sensors, deep learning-based autonomous driving and data processing technologies, and …

A novel framework for modeling and synthesizing stealthy cyberattacks on driver-assist enabled vehicles

S Wang - 2023 IEEE Intelligent Vehicles Symposium (IV), 2023 - ieeexplore.ieee.org
While the first generation of driver-assist enabled vehicles, ie, adaptive cruise control (ACC)
vehicles, are becoming increasingly available, the emerging ACC technologies open a door …