Leveraging intelligent transportation systems and smart vehicles using crowdsourcing: An overview

MC Lucic, X Wan, H Ghazzai, Y Massoud - Smart Cities, 2020 - mdpi.com
The current and expected future proliferation of mobile and embedded technology provides
unique opportunities for crowdsourcing platforms to gather more user data for making data …

A generic data-driven recommendation system for large-scale regular and ride-hailing taxi services

X Wan, H Ghazzai, Y Massoud - Electronics, 2020 - mdpi.com
Modern taxi services are usually classified into two major categories: traditional taxicabs and
ride-hailing services. For both services, it is required to design highly efficient …

RsSafe: Personalized driver behavior prediction for safe driving

D Das, SK Das - 2022 International Joint Conference on …, 2022 - ieeexplore.ieee.org
While the increased demand for taxi services like Uber, Lyft, Hailo, Ola, Grab, Cabify etc.
provides livelihood to many drivers, the desire to raise income forces the drivers to work very …

[Retracted] Taxi Dispatch Optimization in Smart Cities Using TOPSIS

A Abid, NA Nawaz, MS Farooq… - Security and …, 2022 - Wiley Online Library
The modern smart cities demand an efficient taxi dispatch system to satisfy the expectations
of the passengers while giving justified rides to the drivers. Many a time, the customers have …

Online recommendation system for autonomous and human-driven ride-hailing taxi services

X Wan, H Ghazzai, Y Massoud - 2019 31st International …, 2019 - ieeexplore.ieee.org
With the rapid development of autonomous vehicle technology, modern taxi services will
potentially witness an important revolution, where some regular cabs will be substituted by …

Taxi demand prediction using lstm and optimized taxi geo-distribution

D Patole, R Mehta, C Mehta, G Naik… - Soft Computing and …, 2022 - Springer
Location and time-based taxi demand prediction is an essential aspect for e-hailing taxi
service providers to monitor the distribution of taxis around the city, which helps in …

Survey on vehicles recommendation systems

MM Ibrahim, FS Mubarek - AIP Conference Proceedings, 2024 - pubs.aip.org
the last few years, the number of vehicles has grown dramatically, which causes congestion
and some other issues. In the development of technology, Vehicular Ad-hoc Networks …

Stress-Aware Recommendation for Safe Driving using MTL-ConvLSTM

J Vyas, D Das - 2022 IEEE 25th International Conference on …, 2022 - ieeexplore.ieee.org
The rise in demand for taxi services such as Ola, Uber, Grab, Lyft, and Cabify, provides an
economical and significant market in travel and tourism. Taxi service companies offer high …

Improving Prediction for taxi demand by using Machine Learning

MM Ibrahim, FS Mubarek - 2023 15th International Conference …, 2023 - ieeexplore.ieee.org
Many problems and accidents are becoming increasingly occurring due to the increased
number of vehicles on the streets. Therefore, much research has been submitted to help …

Інформаційна технологія підтримки діяльності диспетчера кол-центру пасажирських перевезень «Сервіс-Люкс»

ЮВ Мороз - 2024 - essuir.sumdu.edu.ua
Дипломний проект присвячений розробці та впровадженню вебдодатку для підтримки
диспетчерів кол-центру" Service-Lux" з пасажирських перевезень, використовуючи …