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PEBERS: Practical Ethereum Blockchain based Efficient Ride Hailing Service

International Conference on Informatics, IoT, and Enabling Technologies, 2020
Although the current ride hailing services have revolutionized the transportation industry in today's world, they are extremely centralized. Central authority has all the control and maintains data about the users. Such platforms raise concerns about the
Sowmya Kudva   +4 more
semanticscholar   +1 more source

A Consumer Compensation System in Ride-hailing Service

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Zhe Yu 0001   +4 more
openaire   +2 more sources

Hotspots Recommender: Spatio-Temporal Prediction of Ride-Hailing and Taxicab Services

2022
The complexity of predicting hotspot areas for taxicab services has recently increased with the popularity of ride-hailing services such as Uber and Lyft. In this paper, we first reveal that passengers in certain areas prefer ride-hailing services over taxicab services at certain times, and propose an enhanced LSTM model for predicting the hotspots ...
Huan Huang, Basem Suleiman, Waheeb Yaqub
openaire   +2 more sources

pRide: Privacy-Preserving Ride Matching Over Road Networks for Online Ride-Hailing Service

IEEE Transactions on Information Forensics and Security, 2019
An online ride-hailing (ORH) service, such as Uber and Didi Chuxing, can provide on-demand transportation service to users via mobile phones, which brings great convenience to people’s daily lives.
Yu-Chuan Luo   +3 more
semanticscholar   +1 more source

Location Privacy in Ride-Hailing Service

2021
Youssef Khazbak, Guohong Cao
openaire   +1 more source

Shuttle Bus Service with Ride-Hailing Application

2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021
Iffah Zulaikha Saiful Bahri   +3 more
openaire   +1 more source

Technology Anxiety and Social Influence Towards Intention to Use of Ride-Hailing Service in Indonesia

Case Studies on Transport Policy, 2022
D. Inan   +7 more
semanticscholar   +1 more source

How Machine Learning Informs Ride-Hailing Services: A Survey

Communications in Transportation Research, 2022
Jieping Ye, Yang Liu, Xiaobo Qu
exaly  

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