A cooperative data mining approach for potential urban rail transit demand using probe vehicle trajectories

X Cheng, K Huang, L Qu, L Li - IEEE Access, 2020 - ieeexplore.ieee.org
Promoting the use of public transportation is an important approach to develop sustainable
mobility. However, lots of potential users of public transportation chose taxi, a semi-private …

Portraying passenger travel patterns for Beijing public transit system with user profiling method

K Zhang, A Huang - Smart and Resilient Transportation, 2024 - emerald.com
Purpose The purpose of this paper is to provide a guiding framework for studying the travel
patterns of PT users. The combination of public transit (PT) users' travel data and user …

MARIO: A spatio-temporal data mining framework on Google Cloud to explore mobility dynamics from taxi trajectories

S Ghosh, SK Ghosh, R Buyya - Journal of Network and Computer …, 2020 - Elsevier
With the major advances in location acquisition techniques, deployment of GPS enabled
devices and increasing number of mobile users, substantial amount of location traces are …

Revealing urban traffic demand by constructing dynamic networks with taxi trajectory data

H Zhang, L Zhang, F Che, J Jia, B Shi - IEEE Access, 2020 - ieeexplore.ieee.org
As a crucial travel mode, taxi plays a significant role in residents' daily travel. Uncovering taxi
traffic demand has become a hotspot in transport studies. Previous researchers pay more …

Understanding commuting patterns using transit smart card data

X Ma, C Liu, H Wen, Y Wang, YJ Wu - Journal of Transport Geography, 2017 - Elsevier
Commuting reflects the long-term travel behavior of people and significantly impacts urban
traffic congestion and emission. Recent advances in data availability provide new …

Recent progress in taxi trajectory data mining

WU Huayi, H Rui, YOU Lan… - Acta Geodaetica et …, 2019 - xb.chinasmp.com
The development of big data technology, internet of thing and precise positioning has
promoted the progress of city perception. The increasing taxi trajectory data not only records …

Mining the temporal-spatial patterns of urban traffic demands based on taxi mobility data

T Liu, J Hu, X Pei - CICTP 2019, 2019 - ascelibrary.org
Urban traffic is a complex temporal-spatial process. Understanding the dynamical behavior
of the whole urban traffic system will allow traffic organizers to identify the source of traffic …

Decision tree based station-level rail transit ridership forecasting

X Li, Y Liu, Z Gao, D Liu - Journal of Urban Planning and …, 2016 - ascelibrary.org
This paper presents a decision-tree based model to forecast rail transit ridership at the
station level according to the surrounding land-use patterns. The canonical correlation …

Time-location-relationship combined service recommendation based on taxi trajectory data

X Kong, F Xia, J Wang, A Rahim… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Recently, urban traffic management has encountered a paradoxical situation which is the
empty carrying phenomenon for taxi drivers and the difficulty of taking a taxi for passengers …

Extracting the relationship and evolutionary rule connecting residents' travel demand and traffic supply using multisource data

Z Wang, Z Chen, Y Shi, L Huang - Sensors, 2021 - mdpi.com
Urban rail transit (URT) systems are often regarded as the backbone of their respective city.
The evolutionary features of URT systems have attracted much attention in recent years, but …