[HTML][HTML] Analyzing key performance indicators for mobility logistics in smart and sustainable cities: A case study centered on Barcelona

R Soriano-Gonzalez, E Perez-Bernabeu, Y Ahsini… - Logistics, 2023 - mdpi.com
Background: This article identifies and examines key performance indicators (KPIs) related
to citizen mobility logistics in smart and sustainable urban areas. It begins with a …

A systematic literature review on machine learning in shared mobility

J Teusch, JN Gremmel, C Koetsier… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …

Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?

M Wu, N Wang, KF Yuen - Technological Forecasting and Social Change, 2023 - Elsevier
Shared autonomous vehicles (SAVs) are revolutionizing the future of urban mobility. This
study aims to investigate the effects of artificial intelligence (ie, autonomy level and …

Enhancing VRUs Safety Through Mobility-Aware Workload Orchestration with Trajectory Prediction using Reinforcement Learning

Z Safavifar, C Mechalikh, J Xie… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Vulnerable road users (VRUs) such as pedestrians, cyclists, motorcyclists, and animals are
at the highest risk in the road traffic environment since they move in the environment without …

Exploring the service needs and the common-suited strengthening paths for bicycle-sharing services based on the AIA-NRM technique in consideration of various …

CL Lin - Current Issues in Tourism, 2024 - Taylor & Francis
Near metro stations in urban areas, a public bicycle rental service allows users to rent
bicycles for leisure, short-distance connections, and daily commuting. This study aims to …

Adaptation in Edge Computing: A review on design principles and research challenges

F Golpayegani, N Chen, N Afraz, E Gyamfi… - ACM Transactions on …, 2024 - dl.acm.org
Edge Computing places the computational services and resources closer to the user
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …

Agent-based simulations of intermodal mobility-on-demand systems operated by reinforcement learning

T Chouaki - 2023 - theses.hal.science
In this thesis, we focus on agent-based approaches for simulating mobility in general and
mobility-on-demand systems in particular. A mobility-on-demand system consists in a fleet of …

Control-based integration of rejection rates into endogenous demand ride-pooling simulations

T Chouaki, S Hörl, J Puchinger - 2023 8th International …, 2023 - ieeexplore.ieee.org
The potential of Mobility-on-Demand systems has frequently been studied in the literature,
often in combination with dynamic demand models that respond to the obtained service …

Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments

S Ghanadbashi, F Golpayegani - arXiv preprint arXiv:2405.17691, 2024 - arxiv.org
Agents, whether software or hardware, perceive their environment through sensors and act
using actuators, often operating in dynamic, partially observable settings. They face …

Data Sharing at the Edge of the Network: A Disturbance Resilient Multi-modal ITS

I Mikolasek, S Ghanadbashi, N Afraz… - arXiv preprint arXiv …, 2024 - arxiv.org
Mobility-as-a-Service (MaaS) is a paradigm that encourages the shift from private cars to
more sustainable alternative mobility services. MaaS provides services that enhances and …