Flexible mobility on-demand: An environmental scan
On-demand shared mobility is increasingly being promoted as an influential strategy to
address urban transport challenges in large and fast-growing cities. The appeal of this form …
address urban transport challenges in large and fast-growing cities. The appeal of this form …
Increasing the precision of public transit user activity location detection from smart card data analysis via spatial–temporal DBSCAN
FC Ozer, H Tuydes-Yaman, G Dalkic-Melek - Data & Knowledge …, 2024 - Elsevier
Smart Card (SC) systems have been increasingly adopted by public transit (PT) agencies all
over the world, which facilitates not only fare collection but also PT service analyses and …
over the world, which facilitates not only fare collection but also PT service analyses and …
Big data in road transport and mobility research
Ubiquitous computing has changed the acquisition of mobility data, with two aspects
contributing: the high penetration rate and the ability to capture and share information on a …
contributing: the high penetration rate and the ability to capture and share information on a …
Clustering and heuristics algorithm for the vehicle routing problem with time windows
A Villalba, E Rotta - International Journal of Industrial …, 2022 - m.growingscience.com
This article presents a novel algorithm based on the cluster first-route second method, which
executes a solution through K-means and Optics clustering techniques and Nearest …
executes a solution through K-means and Optics clustering techniques and Nearest …
[HTML][HTML] Spatiotemporal trip profiles in public transportation reveal city modular structure
JT Aparicio, E Arsenio, FC Santos… - Transportation Research …, 2023 - Elsevier
Understanding urban mobility patterns within public transportation (PT) systems is key for
cities to improve services and promote sustainable mobility. Exploring daily PT riders' traffic …
cities to improve services and promote sustainable mobility. Exploring daily PT riders' traffic …
A novel approach to the optimization of a public bus schedule using k-means and a genetic algorithm
With the continuing economic growth of developing countries, the populations of their urban
areas are increasing dramatically. In view of this trend, the optimization of bus service …
areas are increasing dramatically. In view of this trend, the optimization of bus service …
Unsupervised Learning for Topological Classification of Transportation Networks
With increasing urbanization, transportation plays an increasingly critical role in city
development. The number of studies on modeling, optimization, simulation, and data …
development. The number of studies on modeling, optimization, simulation, and data …
Comparison of Dbscan and K-means clustering methods in the selection of representative clients for a vehicle routing model
AFL Villalba, ECG La Rotta - 2020 Congreso Internacional de …, 2020 - ieeexplore.ieee.org
This research presents the management, analysis and debugging of a database with more
than 2.2 million records concerning the delivery of products by a 4PL logistics operator in …
than 2.2 million records concerning the delivery of products by a 4PL logistics operator in …
Spatio-temporal profiling of public transport delays based on large-scale vehicle positioning data from GPS in Wrocław
P Szymański, M Żołnieruk, P Oleszczyk… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
In recent years, many studies on urban mobility based on large data sets have been
published: most of them are based on crowdsourced GPS data or smart-card data. We …
published: most of them are based on crowdsourced GPS data or smart-card data. We …
An eco-aware framework for AI-based analysis of contextually enriched automotive trip data
The transport sector is one of the main contributors to gas emissions and the greenhouse
effect. Mobility as a Service seeks to combine different means of transport (public transport …
effect. Mobility as a Service seeks to combine different means of transport (public transport …