Applications of artificial intelligence in transport: An overview

R Abduljabbar, H Dia, S Liyanage, SA Bagloee - Sustainability, 2019 - mdpi.com
The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented
opportunities to enhance the performance of different industries and businesses, including …

Road traffic forecasting: Recent advances and new challenges

I Lana, J Del Ser, M Velez… - IEEE Intelligent …, 2018 - ieeexplore.ieee.org
Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …

Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges

A Miglani, N Kumar - Vehicular Communications, 2019 - Elsevier
In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …

ASSMA-SLM: Autonomous System for Smart Motor-Vehicles integrating Artificial and Soft Learning Mechanisms

M Saleem, A Khadim, M Fatima… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
As the world's population and development increase, the demand for motor-vehicles
increases, adversely impacting the environment and smart cities by increasing traffic …

Travel time prediction system based on data clustering for waste collection vehicles

CH Chen, FJ Hwang, HY Kung - IEICE TRANSACTIONS on …, 2019 - search.ieice.org
In recent years, intelligent transportation system (ITS) techniques have been widely
exploited to enhance the quality of public services. As one of the worldwide leaders in …

Bus travel time prediction using a time-space discretization approach

BA Kumar, L Vanajakshi, SC Subramanian - Transportation Research Part …, 2017 - Elsevier
The accuracy of travel time information given to passengers plays a key role in the success
of any Advanced Public Transportation Systems (APTS) application. In order to improve the …

A review of big data applications in urban transit systems

K Lu, J Liu, X Zhou, B Han - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Operations, management and planning of urban transit systems have evolved substantially
since the application of transit data collection technologies, such as, automated fare …

An online learning approach to eliminate Bus Bunching in real-time

L Moreira-Matias, O Cats, J Gama… - Applied Soft …, 2016 - Elsevier
Recent advances in telecommunications created new opportunities for monitoring public
transport operations in real-time. This paper presents an automatic control framework to …

Predicting the probability distribution of bus travel time to measure the reliability of public transport services

L Ricard, G Desaulniers, A Lodi… - … Research Part C …, 2022 - Elsevier
An important aspect of the quality of a public transport service is its reliability, which is
defined as the invariability of the service attributes. In order to measure reliability during the …

Combining ITS and optimization in public transportation planning: state of the art and future research paths

C Iliopoulou, K Kepaptsoglou - 2019 - Springer
Abstract Intelligent Transportation Systems (ITS) applications in public transportation have
allowed for automated data collection, which is particularly useful for planning and …