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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 …
future transportation system. A safe interactive system that interacts with people and things is …
Clustering smart card data for urban mobility analysis
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 …
resources for studying urban mobility. In this paper, we propose two approaches to cluster …
Predicting bike sharing demand using recurrent neural networks
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
has attracted the interest of many researchers, and a large number of prediction methods …