Exploring Trends, Perspectives, and Challenges of Artificial Intelligence in Sustainable Mobility DOI

Soufiane Elbroumi,

Maha Assaad Idrissi,

Mohammed Chaaouan

и другие.

Advances in electronic government, digital divide, and regional development book series, Год журнала: 2024, Номер unknown, С. 207 - 238

Опубликована: Окт. 24, 2024

This systematic review examines the expanding role of Artificial Intelligence (AI) in sustainable mobility, analyzing literature from Web Science and Scopus databases published between 2019 2024. The identifies key trends integrating AI into transportation systems, focusing on sustainability, smart solutions, development cities. Efforts to enhance eco-friendly energy-efficient mobility solutions are highlighted, reflecting critical reducing environmental impacts while maintaining high levels accessibility convenience. Adopting including AI-driven traffic management autonomous vehicles, demonstrates how cutting-edge technologies optimize urban improve safety. concept cities is further explored, showcasing data integration transforming areas hubs technological innovation sustainability. Additionally, underscores importance data-driven approaches, particularly Mobility as a Service (MaaS) multimodality, where enables seamless various modes. Despite significant advancements, also addresses challenges such security, privacy, ethical considerations, emphasizing need for robust regulatory frameworks ensure safe equitable deployment mobility. study provides valuable insights potential revolutionize highlights future research development.

Язык: Английский

The Problems of Scooter-Sharing in Smart Cities Based on the Example of the Silesian Region in Poland DOI Creative Commons
Radosław Wolniak, Katarzyna Turoń

Smart Cities, Год журнала: 2025, Номер 8(1), С. 16 - 16

Опубликована: Янв. 21, 2025

The rapid urbanization and pursuit of sustainability have elevated shared mobility as a cornerstone smart cities. Among its modalities, scooter-sharing has gained popularity for convenience eco-friendliness, yet it faces significant adoption barriers. This study investigates the challenges to systems within cities, focusing on Silesian region Poland case study. It aims identify region-specific barriers opportunities in Central Eastern Europe provide insights into long-term development trends potential challenges. Using comprehensive statistical methods, including factor analysis regression models, this identifies key such insufficient bike paths, poor path conditions, inadequate signage, fleet maintenance issues, complex rental processes. External factors like adverse weather heavy traffic, coupled with health safety concerns, further hinder adoption, particularly among vulnerable populations. Additionally, explores future scooter-sharing, emphasizing role advanced technologies, adaptive urban planning, sustainable management ensuring feasibility. Drawing global studies, underscores need tailored infrastructural investments, management, user-centric policies align city goals sustainability, accessibility, improved mobility. These findings offer actionable policymakers service providers striving integrate evolving landscape

Язык: Английский

Процитировано

2

Sustainable benchmarking of e-scooter micromobility systems: A hybrid q-rung orthopair fuzzy score function and distance measure-based ranking approach DOI
Arunodaya Raj Mishra, Pratibha Rani, Ahmad M. Alshamrani

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 143, С. 109934 - 109934

Опубликована: Янв. 20, 2025

Язык: Английский

Процитировано

0

A novel Full Multiplicative Data Envelopment Analysis Model for solving Multi-Attribute Decision-Making problems DOI Creative Commons
Narong Wichapa, Atchara Choompol,

Ronnachai Sangmuenmao

и другие.

Decision Analytics Journal, Год журнала: 2025, Номер unknown, С. 100549 - 100549

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure DOI
Ömer Kaya

Engineering Science and Technology an International Journal, Год журнала: 2025, Номер 64, С. 102027 - 102027

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

0

Route Optimization and Scheduling for Asymmetric Micromobility-Based Logistics DOI Open Access

Ágota Bányai,

Ireneusz Kaczmar,

Tamás Bányai

и другие.

Symmetry, Год журнала: 2025, Номер 17(4), С. 547 - 547

Опубликована: Апрель 3, 2025

The optimization of asymmetric transportation problems is a critical challenge in modern logistics, where the complexity operational environment significantly influences efficiency. In first-mile and last-mile logistics operations, strategic plays crucial role enhancing This article explores advanced techniques that improve decision-making such scenarios. By utilizing mathematical modeling heuristic algorithms, routes schedules can be refined to minimize costs enhance overall performance. study demonstrates potential this approach through case focusing on using micromobility devices an integrated first-mile/last-mile delivery network. Numerical results from solution methods show novel suitable optimize micromobility-based las-mile tasks. We examine network eight restaurants located downtown Miskolc, Hungary. To compare optimized with traditional one, we looked at total distance shuttle-based services, which was 121.65 km, our covering 44.55% delivery. led 19% improvement use when demand supply were synchronized. findings indicate significant improvements cost-effectiveness, times, resource utilization, highlighting importance structured frameworks complex networks.

Язык: Английский

Процитировано

0

Exploring Trends, Perspectives, and Challenges of Artificial Intelligence in Sustainable Mobility DOI

Soufiane Elbroumi,

Maha Assaad Idrissi,

Mohammed Chaaouan

и другие.

Advances in electronic government, digital divide, and regional development book series, Год журнала: 2024, Номер unknown, С. 207 - 238

Опубликована: Окт. 24, 2024

This systematic review examines the expanding role of Artificial Intelligence (AI) in sustainable mobility, analyzing literature from Web Science and Scopus databases published between 2019 2024. The identifies key trends integrating AI into transportation systems, focusing on sustainability, smart solutions, development cities. Efforts to enhance eco-friendly energy-efficient mobility solutions are highlighted, reflecting critical reducing environmental impacts while maintaining high levels accessibility convenience. Adopting including AI-driven traffic management autonomous vehicles, demonstrates how cutting-edge technologies optimize urban improve safety. concept cities is further explored, showcasing data integration transforming areas hubs technological innovation sustainability. Additionally, underscores importance data-driven approaches, particularly Mobility as a Service (MaaS) multimodality, where enables seamless various modes. Despite significant advancements, also addresses challenges such security, privacy, ethical considerations, emphasizing need for robust regulatory frameworks ensure safe equitable deployment mobility. study provides valuable insights potential revolutionize highlights future research development.

Язык: Английский

Процитировано

0