Ridesharing and Crowdsourcing for Smart Cities: Technologies, Paradigms and Use Cases

Kah Phooi Seng; Li-Minn Ang; Ericmoore Ngharamike; Eno Peter

doi:10.1109/ACCESS.2023.3243264

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Ridesharing and Crowdsourcing for Smart Cities: Technologies, Paradigms and Use Cases

Journal article

Open access

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Ridesharing and Crowdsourcing for Smart Cities: Technologies, Paradigms and Use Cases

Kah Phooi Seng, Li-Minn Ang, Ericmoore Ngharamike and Eno Peter

IEEE Access, Vol.11, pp.18038-18081

2023

DOI: https://doi.org/10.1109/ACCESS.2023.3243264

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Abstract

Artificial intelligence

crowdsourcing

deep learning

machine learning

ridesharing

transportation

smart cities

Recent technology developments and the numerous availabilities of mobile users, devices and Internet technologies together with the growing focus on reducing traffic congestion and emissions in urban areas have led to the emergence of new paradigms for ridesharing and crowdsourcing for smart cities. Compared to carpooling approaches where the driver and participant passengers or riders are usually prearranged and the journey details known beforehand, the paradigm for ridesharing requires the participants to be selected at short notice and the rider trips are often dynamically formed. Crowdsourcing techniques and approaches are well suited to match drivers and riders for these dynamic scenarios, although there are many challenges to be addressed. This paper aims to survey this new paradigm of ridesharing and crowdsourcing for smart city transportation environments from several technological and social perspectives including: 1) ridesharing and architecture in transportation; 2) techniques for ridesharing; 3) artificial intelligence for ridesharing; 4) autonomous vehicles and systems ridesharing; and 5) security, policy and pricing strategies. The paper concludes with some use cases and lessons learned for the practical deployment of ridesharing and crowdsourcing platforms for smart cities.

Details

Title: Ridesharing and Crowdsourcing for Smart Cities: Technologies, Paradigms and Use Cases
Authors: Kah Phooi Seng (Author) - Xi’an Jiaotong-Liverpool University
Li-Minn Ang (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Ericmoore Ngharamike (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Eno Peter (Author) - Federal University Oye Ekiti
Publication details: IEEE Access, Vol.11, pp.18038-18081
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2023
DOI: 10.1109/ACCESS.2023.3243264
ISSN: 2169-3536
Copyright note: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99713297002621
Output Type: Journal article

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Web Of Science research areas: Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications

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