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 …

[HTML][HTML] A review of the use of artificial intelligence methods in infrastructure systems

L McMillan, L Varga - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …

Blockchain and AI technology convergence: Applications in transportation systems

P Singh, Z Elmi, Y Lau, M Borowska-Stefańska… - Vehicular …, 2022 - Elsevier
The blockchain and artificial intelligence (AI) have been the focal point of innovations and
received increasing attention of the community over the last years. The blockchain …

Electric bus scheduling and timetabling, fast charging infrastructure planning, and their impact on the grid: A review

K Alamatsaz, S Hussain, C Lai, U Eicker - Energies, 2022 - mdpi.com
Transit agencies are increasingly embracing electric buses (EB) as an energy-efficient and
emission-free alternative to the conventional bus fleets. They are rapidly replacing …

Time-evolving OD matrix estimation using high-speed GPS data streams

L Moreira-Matias, J Gama, M Ferreira… - Expert systems with …, 2016 - Elsevier
Portable digital devices equipped with GPS antennas are ubiquitous sources of continuous
information for location-based Expert and Intelligent Systems. The availability of these traces …

From data to actions in intelligent transportation systems: A prescription of functional requirements for model actionability

I Laña, JJ Sanchez-Medina, EI Vlahogianni, J Del Ser - Sensors, 2021 - mdpi.com
Advances in Data Science permeate every field of Transportation Science and Engineering,
resulting in developments in the transportation sector that are data-driven. Nowadays …

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 …

Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada

P Prommaharaj, S Phithakkitnukoon, MG Demissie… - Heliyon, 2020 - cell.com
Public transportation agencies are one of the industries that generate a large volume of data
on a high frequency and velocity basis. The General Transit Feed Specification (GTFS) is …

Time of day intervals partition for bus schedule using GPS data

Y Bie, X Gong, Z Liu - Transportation Research Part C: Emerging …, 2015 - Elsevier
Time of day partition of bus operating hours is a prerequisite of bus schedule design.
Reasonable partition plan is essential to improve the punctuality and level of service. In most …

The sightseeing bus schedule optimization under park and ride system in tourist attractions

L Zhang, YP Wang, J Sun, B Yu - Annals of Operations Research, 2019 - Springer
This paper proposes a sightseeing bus schedule optimization method for Park and Ride
System in tourist attractions. The optimization method can provide a high-quality tourism …