Detecção de comunidades em redes complexas para identificar gargalos e desperdício de recursos em sistemas de ônibus

06/12/2016
by   Carlos Caminha, et al.
0

We propose here a methodology to help to understand the shortcomings of public transportation in a city via the mining of complex networks representing the supply and demand of public transport. We show how to build these networks based upon data on smart card use in buses via the application of algorithms that estimate an OD and reconstruct the complete itinerary of the passengers. The overlapping of the two networks sheds light in potential overload and waste in the offer of resources that can be mitigated with strategies for balancing supply and demand.

READ FULL TEXT
research
09/12/2023

Modeling Supply and Demand in Public Transportation Systems

The Harrisonburg Department of Public Transportation (HDPT) aims to leve...
research
02/20/2021

Unavailable Transit Feed Specification: Making it Available with Recurrent Neural Networks

Studies on public transportation in Europe suggest that European inhabit...
research
10/19/2022

Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties

As electric vehicle (EV) technologies become mature, EV has been rapidly...
research
08/22/2020

Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data

One of the major goals of transport operators is to adapt the transport ...
research
07/29/2022

Reconstructing Sparse Illicit Supply Networks: A Case Study of Multiplex Drug Trafficking Networks

The network structure provides critical information for law enforcement ...
research
06/11/2022

Overcoming barriers to developing and diffusing fuel-cell vehicles: Governance strategies and experiences in Japan

To accelerate the electrification of road transport, numerous countries ...

Please sign up or login with your details

Forgot password? Click here to reset