Machine learning to classify driving events using mobile phone sensors data

Y Alqudah, B Sababha, E Qaralleh, T Yousseff - 2021 - learntechlib.org
With the ever-increasing vehicle population and introduction of autonomous and self-driving
cars, innovative research is needed to ensure safety and reliability on the road. This work …

A comprehensive review on intelligent traffic management using machine learning algorithms

Y Modi, R Teli, A Mehta, K Shah, M Shah - Innovative infrastructure …, 2022 - Springer
Traffic Clog is the main issue of the fast and evolving world. Due to the rise in the use of
more private vehicles and low road network capacity managing traffic with the traditional …

Smart urban traffic management system using energy efficient optimized path discovery

P Agarwal, S Sharma - 2023 Third International Conference on …, 2023 - ieeexplore.ieee.org
The increased traffic on the roads is a direct outcome of growing urban populations.
Congestion on the roads is a result of the road infrastructure's incapacity to manage traffic …

Development and testing of a 3G/LTE adaptive data collection system in vehicular networks

W Drira, K Ahn, H Rakha, F Filali - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) are a special case of mobile ad hoc networks
(MANETs). The distinctive characteristics of VANETs include high-speed vehicular nodes …

[PDF][PDF] Road rush: a review on road traffic analytics systems and a proposed alternative

KF Fomy, A Mahmud, M Islam… - Int. J. Inf. Technol. Comput …, 2022 - researchgate.net
Road traffic congestion is a recurring occurrence causing enormous loss of valuable
working hours around the world. It is impossible to eradicate such a problem overnight …

Vehicular mobile data collection platform to support the development of Intelligent Transportation Systems

G Suciu, M Vochin, A Vulpe… - 2016 24th …, 2016 - ieeexplore.ieee.org
In the past decade, due to increasingly challenging traffic conditions in large cities, pollution
and safety issues, the development of intelligent transportation systems gained a significant …

CrowdMap: Crowdsourcing based city traffic map generation

R Verma - 2017 9th International Conference on …, 2017 - ieeexplore.ieee.org
Bus transports in the cities of many developing countries are marred with severe problems,
like information unavailability, bad road and bus conditions, lack of proper scheduling and …

Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities

UK Lilhore, AL Imoize, CT Li, S Simaiya, SK Pani… - Sensors, 2022 - mdpi.com
The rapid growth in the number of vehicles has led to traffic congestion, pollution, and
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …

Machine Learning Approach for Intelligent Transport System in IOV-Based Vehicular Network Traffic for Smart Cities

CD Kokane, G Mohadikar, S Khapekar… - International Journal of …, 2023 - ijisae.org
The transportation industry will face many significant issues, including traffic congestion,
pollution, and ineffective traffic management, as a result of the increasing urbanisation and …

Active CTDaaS: A data service framework based on transparent IoD in city traffic

B Du, R Huang, X Chen, Z Xie, Y Liang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Transport infrastructure generates a huge amount of city transportation data due to the
significant increasing of advanced devices, such as sensing devices, mobile devices and …