A survey on trajectory data management, analytics, and learning
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …
in the availability and collection of urban trajectory data, thus increasing the demand for …
Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches
KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …
population, the smart city (SC) transportation industry faces a myriad of challenges …
Intelligent transportation and control systems using data mining and machine learning techniques: A comprehensive study
Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …
review the data mining and machine learning technologies adopted in research and industry …
Unified point-of-interest recommendation with temporal interval assessment
Point-of-interest (POI) recommendation, which helps mobile users explore new places, has
become an important location-based service. Existing approaches for POI recommendation …
become an important location-based service. Existing approaches for POI recommendation …
Deep journalism and DeepJournal V1. 0: a data-driven deep learning approach to discover parameters for transportation
We live in a complex world characterised by complex people, complex times, and complex
social, technological, economic, and ecological environments. The broad aim of our work is …
social, technological, economic, and ecological environments. The broad aim of our work is …
[HTML][HTML] Integrated design of transport infrastructure and public spaces considering human behavior: A review of state-of-the-art methods and tools
In order to achieve holistic urban plans incorporating transport infrastructure, public space
and the behavior of people in these spaces, integration of urban design and computer …
and the behavior of people in these spaces, integration of urban design and computer …
Shared subway shuttle bus route planning based on transport data analytics
The development requirements of shared buses are extremely urgent to alleviate urban
traffic congestions by improving road resource utilization and to provide a neotype …
traffic congestions by improving road resource utilization and to provide a neotype …
Learning urban community structures: A collective embedding perspective with periodic spatial-temporal mobility graphs
Learning urban community structures refers to the efforts of quantifying, summarizing, and
representing an urban community's (i) static structures, eg, Point-Of-Interests (POIs) …
representing an urban community's (i) static structures, eg, Point-Of-Interests (POIs) …
Combining ITS and optimization in public transportation planning: state of the art and future research paths
C Iliopoulou, K Kepaptsoglou - 2019 - Springer
Abstract Intelligent Transportation Systems (ITS) applications in public transportation have
allowed for automated data collection, which is particularly useful for planning and …
allowed for automated data collection, which is particularly useful for planning and …
Catch me if you can: Detecting pickpocket suspects from large-scale transit records
Massive data collected by automated fare collection (AFC) systems provide opportunities for
studying both personal traveling behaviors and collective mobility patterns in the urban area …
studying both personal traveling behaviors and collective mobility patterns in the urban area …