Logistics Sprawl and Artificial Intelligence Revolving Urban Freight Transport DOI
Manal El Yadari, Fouad Jawab,

Imane Moufad

et al.

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 191 - 244

Published: Dec. 20, 2024

Artificial intelligence has made great strides in various fields, especially improving logistics operations and freight transportation. This chapter aims to highlight the importance of applying AI manage sprawl phenomenon. The research focused on analyzing impact use performance urban transport under sprawling conditions. To achieve this, authors carried out a literature review explore different categories including machine learning, deep natural language processing, visual data reinforcement learning (RL), specialized algorithms, optimise activities within context.

Language: Английский

A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data DOI
Liao Chen,

Shoufeng Ma,

Changlin Li

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 183, P. 103445 - 103445

Published: Feb. 6, 2024

Language: Английский

Citations

1
Revealing the impacts of COVID-19 pandemic on intercity truck transport: New insights from big data analytics DOI
Yitao Yang,

Bin Jia,

Zhenzhen Yang

et al.

Transportation Research Part C Emerging Technologies, Journal Year: 2024, Volume and Issue: 169, P. 104861 - 104861

Published: Sept. 20, 2024

Language: Английский

Citations

1
A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin–destination flows prediction DOI Creative Commons
Yibo Zhao, Shifen Cheng, Song Gao

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 136, P. 104328 - 104328

Published: Dec. 19, 2024

Language: Английский

Citations

0
Logistics Sprawl and Artificial Intelligence Revolving Urban Freight Transport DOI
Manal El Yadari, Fouad Jawab,

Imane Moufad

et al.

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 191 - 244

Published: Dec. 20, 2024

Artificial intelligence has made great strides in various fields, especially improving logistics operations and freight transportation. This chapter aims to highlight the importance of applying AI manage sprawl phenomenon. The research focused on analyzing impact use performance urban transport under sprawling conditions. To achieve this, authors carried out a literature review explore different categories including machine learning, deep natural language processing, visual data reinforcement learning (RL), specialized algorithms, optimise activities within context.

Language: Английский

Citations

0