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 …

[HTML][HTML] Modelling reservation-based shared autonomous vehicle services: A dynamic user equilibrium approach

S Narayanan, E Chaniotakis, C Antoniou - Transportation Research Part C …, 2022 - Elsevier
Abstract Shared Autonomous Vehicles (SAVs) are expected to be used for regular and pre-
planned trips. Such trips are suitable for reservation-based services, wherein the customer …

A long‐term shared autonomous vehicle system design problem considering relocation and pricing

J Tian, H Jia, G Wang, Y Lin, R Wu… - Journal of Advanced …, 2022 - Wiley Online Library
Compared to conventional private vehicles (CPVs), shared autonomous vehicles (SAVs)
provide users the potential for the reduced value of time (VoT), improved mobility …

The social justice of intelligent transportation systems: Deep learning-based autonomous driving technologies, cooperative navigation algorithms, and vehicle and …

M Newell - Contemporary Readings in Law and Social Justice, 2022 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore Internet
of Things-sensing tools, data processing and smart mobility technologies, and self-driving …

Artificial moral agents in big data-driven transportation systems: Autonomous vehicle perception sensors, virtual simulation algorithms, and geospatial mapping tools

J Perkins - Contemporary Readings in Law and Social Justice, 2022 - ceeol.com
Despite the relevance of autonomous vehicle driving algorithms, behavior tracking and
virtual data modeling tools, and image recognition and urban sensing technologies, only …

Autonomous vehicle ethics in networked transport systems: Spatial cognition algorithms, mobility data processing tools, and deep learning-based sensing …

N Morley - Contemp. Readings L. & Soc. Just., 2022 - HeinOnline
The present study systematically reviews the existing research on geospatial mapping and
simulation modeling tools, environment and vehicle sensors, and crash avoidance …

Decomposed-coordinated framework with intelligent extremum network for operational reliability analysis of complex system

L Jia-Qi, F Yun-Wen, L Cheng, P Wei-Huang - Reliability Engineering & …, 2024 - Elsevier
The analysis of operational reliability in complex systems, which involve numerous
subsystems and multiple disciplines, presents significant computational challenges due to …

The Social Ethics of Autonomous Vehicle Routing and Navigation: Spatial Recognition Technologies, Environment Mapping Algorithms, and Mobility Simulation Tools

R Barnes - Contemporary Readings in Law and Social Justice, 2022 - ceeol.com
The objective of this paper is to systematically review connected vehicle data, spatial
recognition technologies, and machine learning and computer vision algorithms. The …

Operations management of shared transport: research status and prospect

X Li, H Zhao, H Ma - Journal of Data, Information and Management, 2023 - Springer
Shared transport is an emerging transportation system where travelers share a vehicle
either simultaneously as a group (eg ride-sharing, ride-sourcing, or customized bus) and …

Simulating ride-pooling services with pre-booking and on-demand customers

R Engelhardt, F Dandl, K Bogenberger - arXiv preprint arXiv:2210.06972, 2022 - arxiv.org
If private vehicle trips can be replaced, ride-pooling services can decrease parking space
needed by higher vehicle utilization and increase traffic efficiency by increasing vehicle …