Recent applications of big data analytics in railway transportation systems: A survey
Big data analytics (BDA) has increasingly attracted a strong attention of analysts,
researchers and practitioners in railway transportation and engineering. This urges the …
researchers and practitioners in railway transportation and engineering. This urges the …
Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs
The actual functions of a region may not reflect the intent of the original zoning scheme from
planners. To identify the actual urban functional regions, numerous methods have been …
planners. To identify the actual urban functional regions, numerous methods have been …
Smart urban transit systems: from integrated framework to interdisciplinary perspective
K Lu, B Han, X Zhou - Urban Rail Transit, 2018 - Springer
Urban transit system is an important part of city transportation, which is an interdisciplinary
industry, including traffic engineering, operation research, and computer science. To provide …
industry, including traffic engineering, operation research, and computer science. To provide …
Demand-driven timetable design for metro services
Timetable design is crucial to the metro service reliability. A straightforward and commonly
adopted strategy in daily operation is a peak/off-peak-based schedule. However, such a …
adopted strategy in daily operation is a peak/off-peak-based schedule. However, such a …
Spatio-temporal analysis of passenger travel patterns in massive smart card data
Metro systems have become one of the most important public transit services in cities. It is
important to understand individual metro passengers' spatio-temporal travel patterns. More …
important to understand individual metro passengers' spatio-temporal travel patterns. More …
Collaborative optimization for metro train scheduling and train connections combined with passenger flow control strategy
For high-frequency metro lines, the excessive travel demand during the peak hours brings a
high risk to metro system and a low comfort to passengers, so it is important to consider …
high risk to metro system and a low comfort to passengers, so it is important to consider …
Understanding urban mobility patterns with a probabilistic tensor factorization framework
L Sun, KW Axhausen - Transportation Research Part B: Methodological, 2016 - Elsevier
The rapid developments of ubiquitous mobile computing provide planners and researchers
with new opportunities to understand and build smart cities by mining the massive spatial …
with new opportunities to understand and build smart cities by mining the massive spatial …
An integrated Bayesian approach for passenger flow assignment in metro networks
This paper proposes an integrated Bayesian statistical inference framework to characterize
passenger flow assignment model in a complex metro network. In doing so, we combine …
passenger flow assignment model in a complex metro network. In doing so, we combine …
Estimation of passenger route choice pattern using smart card data for complex metro systems
Metro systems play an important role in meeting the demand for urban transportation in
large cities. The understanding of passenger route choice is critical for public transit …
large cities. The understanding of passenger route choice is critical for public transit …
A probabilistic passenger-to-train assignment model based on automated data
Y Zhu, HN Koutsopoulos, NHM Wilson - Transportation Research Part B …, 2017 - Elsevier
The paper presents a methodology for assigning passengers to individual trains using:(i)
fare transaction records from Automatic Fare Collection (AFC) systems and (ii) Automatic …
fare transaction records from Automatic Fare Collection (AFC) systems and (ii) Automatic …