Crowd intelligence for sustainable futuristic intelligent transportation system: a review

R Chandra Shit - Iet intelligent transport systems, 2020 - Wiley Online Library
Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …

Clustering smart card data for urban mobility analysis

K Mohamed, E Côme, L Oukhellou… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Smart card data gathered by automated fare collection (AFC) systems are valuable
resources for studying urban mobility. In this paper, we propose two approaches to cluster …

Predicting bike sharing demand using recurrent neural networks

Y Pan, RC Zheng, J Zhang, X Yao - Procedia computer science, 2019 - Elsevier
Predicting bike sharing demand can help bike sharing companies to allocate bikes better
and ensure a more sufficient circulation of bikes for customers. This paper proposes a real …

[KÖNYV][B] Public transport planning with smart card data

F Kurauchi, JD Schmöcker - 2017 - taylorfrancis.com
Collecting fares through" smart cards" is becoming standard in most advanced public
transport networks of major cities around the world. Travellers value their convenience and …

Data and decision intelligence for human-in-the-loop cyber-physical systems: reference model, recent progresses and challenges

M Ma, W Lin, D Pan, Y Lin, P Wang, Y Zhou… - Journal of Signal …, 2018 - Springer
With the rapid development of sensing technology, Cyber-Physical Systems (CPS) are
connecting our real-world and cyber spaces by real-time situation awareness and intelligent …

Network–wide prediction of public transportation ridership using spatio–temporal link–level information

S Karnberger, C Antoniou - Journal of Transport Geography, 2020 - Elsevier
Public transportation is a key element to vivid city life. Understanding the dynamics and
driving forces of public transportation ridership can be a very rewarding task. It is, however, a …

An integrated data envelopment analysis and non-cooperative game approach for public transportation incentive subsidy allocation

Q **e, X Wu, Q Dai, X Zheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an important national initiative, China's public transport priority development strategy is
conducive to the development of the public transport industry and urban economic …

Constructing time-dependent origin-destination matrices with adaptive zoning scheme and measuring their similarities with taxi trajectory data

W Mungthanya, S Phithakkitnukoon… - IEEE …, 2019 - ieeexplore.ieee.org
There has been a recent push towards using opportunistic sensing data collected from
sources like automatic vehicle location (AVL) systems, mobile phone networks, and global …

[PDF][PDF] Review on IoT based architecture for smart public transport system

J Jalaney, RS Ganesh - International Journal of Applied …, 2019 - researchgate.net
Abstract Smart Public Transportation (SPT) is a subsystem of Intelligent Transportation
Systems (ITS). It can control public transportation systems in a highly intelligent manner to …

[HTML][HTML] An entropy-based approach for evaluating travel time predictability based on vehicle trajectory data

T Xu, X Xu, Y Hu, X Li - Entropy, 2017 - mdpi.com
With the great development of intelligent transportation systems (ITS), travel time prediction
has attracted the interest of many researchers, and a large number of prediction methods …