[HTML][HTML] Artificial intelligence for improving public transport: a mapping study

Å Jevinger, C Zhao, JA Persson, P Davidsson - Public Transport, 2024 - Springer
The objective of this study is to provide a better understanding of the potential of using
Artificial Intelligence (AI) to improve Public Transport (PT), by reviewing research literature …

Multi-output bus travel time prediction with convolutional LSTM neural network

NC Petersen, F Rodrigues, FC Pereira - Expert Systems with Applications, 2019 - Elsevier
Accurate and reliable travel time predictions in public transport networks are essential for
delivering an attractive service that is able to compete with other modes of transport in urban …

Dynamic bus travel time prediction models on road with multiple bus routes

C Bai, ZR Peng, QC Lu, J Sun - Computational intelligence and …, 2015 - Wiley Online Library
Accurate and real‐time travel time information for buses can help passengers better plan
their trips and minimize waiting times. A dynamic travel time prediction model for buses …

Bus arrival time prediction with real-time and historic data

H Xu, J Ying - Cluster Computing, 2017 - Springer
Provision of accurate bus arrival information is vital to passengers for reducing their
anxieties and waiting times at bus stop. GPS-equipped buses can be regarded as mobile …

A prediction model of bus arrival time at stops with multi-routes

T Yin, G Zhong, J Zhang, S He, B Ran - Transportation research procedia, 2017 - Elsevier
Accurate bus arrival time is fundamental for efficient bus operation and dispatching
decisions. This paper proposed a new prediction model based on support vector machine …

[HTML][HTML] Towards attention-based convolutional long short-term memory for travel time prediction of bus journeys

J Wu, Q Wu, J Shen, C Cai - Sensors, 2020 - mdpi.com
Travel time prediction is critical for advanced traveler information systems (ATISs), which
provides valuable information for enhancing the efficiency and effectiveness of the urban …

[HTML][HTML] Travel time prediction for traveler information system in heterogeneous disordered traffic conditions using GPS trajectories

G Sihag, M Parida, P Kumar - Sustainability, 2022 - mdpi.com
Precise travel time prediction allows travelers and system controllers to be aware of the
future conditions on roadways and helps in pre-trip planning and traffic control strategy …

SVM‐based hybrid approach for corridor‐level travel‐time estimation

RB Sharmila, NR Velaga… - IET Intelligent Transport …, 2019 - Wiley Online Library
The objective of this study is to develop an accurate model for corridor‐level travel‐time
estimation. Different approaches, such as k‐nearest neighbour (k‐NN), gradient boosting …

Predicting irregularities in arrival times for transit buses with recurrent neural networks using GPS coordinates and weather data

O Alam, A Kush, A Emami, P Pouladzadeh - Journal of Ambient …, 2021 - Springer
Intelligent transportation systems (ITS) play an important role in the quality of life of citizens
in any metropolitan city. Despite various policies and strategies incorporated to increase the …

Bus arrival time modeling based on auckland data

P Ranjitkar, LS Tey, E Chakravorty… - Transportation …, 2019 - journals.sagepub.com
Inaccurate bus arrival time predictions are counterproductive to changing transport habits
and promoting public transport use. This research sought to improve the bus passenger …