Modeling and managing mixed on-demand ride services of human-driven vehicles and autonomous vehicles

D Mo, XM Chen, J Zhang - Transportation Research Part B: Methodological, 2022 - Elsevier
We model a monopoly ride-sourcing market where the platform adopts the service types of
human-driven vehicles (HVs) and autonomous vehicles (AVs). Both congestion externality …

Accelerating the adoption of automated vehicles by subsidies: A dynamic games approach

Q Luo, R Saigal, Z Chen, Y Yin - Transportation Research Part B …, 2019 - Elsevier
Early deployment of automated vehicles (AVs) may likely cause a loss of efficiency in the
transportation system. However, after there are a sufficient number of such vehicles in the …

The driverless bus: An analysis of public perceptions and acceptability

ME López-Lambas, A Alonso - Sustainability, 2019 - mdpi.com
The development of autonomous vehicles (AVs) holds a high potential for improving
security, reducing congestion, increasing fuel efficiency, and saving time. Various studies …

Potential of on-demand services for urban travel

N Geržinič, N van Oort, S Hoogendoorn-Lanser, O Cats… - Transportation, 2023 - Springer
On-demand mobility services are promising to revolutionise urban travel, but preliminary
studies are showing they may actually increase total vehicle miles travelled, worsening road …

High-resolution radar road segmentation using weakly supervised learning

I Orr, M Cohen, Z Zalevsky - Nature Machine Intelligence, 2021 - nature.com
Autonomous driving has recently gained lots of attention due to its disruptive potential and
impact on the global economy; however, these high expectations are hindered by strict …

Cross-modal supervision-based multitask learning with automotive radar raw data

Y Jin, A Deligiannis, JC Fuentes-Michel… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of autonomous driving technology, radar sensors play a vital
role in the perception system due to their robustness under harsh environmental conditions …

A human factors approach to validating driver models for interaction-aware automated vehicles

O Siebinga, A Zgonnikov, D Abbink - ACM Transactions on Human …, 2022 - dl.acm.org
A major challenge for autonomous vehicles is interacting with other traffic participants safely
and smoothly. A promising approach to handle such traffic interactions is equipping …

MilliCar: An ns-3 module for mmWave NR V2X networks

M Drago, T Zugno, M Polese, M Giordani… - Proceedings of the 2020 …, 2020 - dl.acm.org
Vehicle-to-vehicle (V2V) communications have opened the way towards cooperative
automated driving as a means to guarantee improved road safety and traffic efficiency. The …

Acceptance of vehicle automation: Effects of demographic traits, technology experience and media exposure

C Lee, B Seppelt, B Reimer, B Mehler… - Proceedings of the …, 2019 - journals.sagepub.com
Transportation users are increasingly aware of a possible future where they may ride in or
share the road with automated vehicles. However, even with recent technological advances …

Life cycle sustainability assessment of autonomous heavy‐duty trucks

B Sen, M Kucukvar, NC Onat… - Journal of Industrial …, 2020 - Wiley Online Library
Connected and automated vehicles (CAVs) are emerging technologies expected to bring
important environmental, social, and economic improvements in transportation systems …