Deep learning for intelligent transportation systems: A survey of emerging trends

M Veres, M Moussa - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Transportation systems operate in a domain that is anything but simple. Many exhibit both
spatial and temporal characteristics, at varying scales, under varying conditions brought on …

Review of shared online hailing and autonomous taxi services

W Zeng, M Wu, P Chen, Z Cao, S **e - … B: Transport Dynamics, 2023 - Taylor & Francis
As the technology of autonomous vehicle develops, online hailing autonomous taxi system
is regarded as one of the most popular public transportation services in the future. Studies …

[PDF][PDF] Integrating machine learning and deep learning in smart cities for enhanced traffic congestion management: an empirical review

ABF Khan, P Ivan - Journal of urban development and …, 2023 - library.acadlore.com
In the rapid urbanization experienced globally, traffic congestion emerges as a critical
challenge, detrimentally affecting economic performance and the quality of urban life. This …

Centralized and decentralized autonomous dispatching strategy for dynamic autonomous taxi operation in hybrid request mode

L Duan, Y Wei, J Zhang, Y **a - Transportation Research Part C: Emerging …, 2020 - Elsevier
The combination of self-driving technology and taxis has a considerable potential in
improving service quality and economic efficiency that can completely change traditional taxi …

[HTML][HTML] The dynamic ride-hailing sharing problem with multiple vehicle types and user classes

X Zhan, WY Szeto, XM Chen - … Part E: Logistics and Transportation Review, 2022 - Elsevier
This paper proposes a dynamic ride-hailing sharing problem with multiple vehicle types and
user classes. Ride-hailing vehicles (RHVs) can be classified into express ride-hailing …

Addressing the urban-scale vehicle assignment and rebalancing problems in shared autonomous vehicle system while simultaneously considering immediate …

L Duan, Y Wei, J Zhang, Y **a - Computers & Industrial Engineering, 2023 - Elsevier
Recently, the autonomous driving technology has developed rapidly with the shared
autonomous vehicle system extensively investigated. However, little attention has been …

Online operations of automated electric taxi fleets: An advisor-student reinforcement learning framework

X Tang, M Li, X Lin, F He - Transportation Research Part C: Emerging …, 2020 - Elsevier
Automation and electrification are inevitable trends in the development of intelligent
vehicles. It is envisioned that automated electric taxis (AETs) will play an important role in …

Dynamic joint decision of matching parameters and relocation strategies in ride-sourcing systems interacting with traffic congestion

J Zhang, L Hu, Y Li, W Xu, Y Jiang - Transportation Research Part C …, 2024 - Elsevier
As the ride-sourcing market expands, ride-sourcing fleets have increased urban traffic
congestion, and in turn, road congestion is affecting ride-sourcing operations. It is crucial to …

Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection

J Liu, T Li, Z Yuan, W Huang, P **e, Q Huang - Information Sciences, 2022 - Elsevier
Detecting dangerous driving behavior is of great significance for reducing the occurrence of
traffic accidents, and very challenging as it is affected by multiple factors. However, the …

Accessible taxi routing strategy based on travel behavior of people with disabilities incorporating vehicle routing problem and Gaussian mixture model

EH Lee, J Jeong - Travel behaviour and society, 2024 - Elsevier
The government of Seoul has implemented accessible taxis, following the Convention on
the Rights of Persons with Disabilities established by the United Nations in 2006. Accessible …