Micro-interventions in urban transport from pattern discovery on the flow of passengers and on the bus network

06/14/2016
by   Carlos Caminha, et al.
0

In this paper, we describe a case study in a big metropolis, in which from data collected by digital sensors, we tried to understand mobility patterns of persons using buses and how this can generate knowledge to suggest interventions that are applied incrementally into the transportation network in use. We have first estimated an Origin-Destination matrix of buses users from datasets about the ticket validation and GPS positioning of buses. Then we represent the supply of buses with their routes through bus stops as a complex network, which allowed us to understand the bottlenecks of the current scenario and, in particular, applying community discovery techniques, to identify clusters that the service supply infrastructure has. Finally, from the superimposing of the flow of people represented in the OriginDestination matrix in the supply network, we exemplify how micro-interventions can be prospected by means of an example of the introduction of express routes.

READ FULL TEXT

Authors

page 1

page 2

page 3

page 4

06/10/2021

An adaptive Origin-Destination flows cluster-detecting method to identify urban mobility trends

Origin-Destination (OD) flow, as an abstract representation of the objec...
02/16/2022

Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data

The constrained outbreak of COVID-19 in Mainland China has recently been...
06/19/2019

Estimating Commuting Patterns from High Resolution Phone GPS Data

The rise of location positioning technologies has generated enormous vol...
06/29/2020

Passive Wi-Fi Monitoring in Public Transport: A case study in the Madeira Island

Transportation has become of evermore importance in the last years, affe...
12/02/2018

Mapping the Underground: Towards Automatic Discovery of Cybercrime Supply Chains

Cybercrime forums enable modern criminal entrepreneurs to collaborate wi...
12/04/2020

Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada

The rapid increase in the cyber-physical nature of transportation, avail...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.