How Do We Make New Public Transport Systems More Successful?

2002 ◽  
Author(s):  
Aoife A. Ahern
Keyword(s):  
Public Transport ◽  
Transport Systems ◽  
New Public

scholarly journals Detecting, Tracking and Counting People Getting On/Off a Metropolitan Train Using a Standard Video Camera

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6251
Author(s):  
Sergio A. Velastin ◽  
Rodrigo Fernández ◽  
Jorge E. Espinosa ◽  
Alessandro Bay
Keyword(s):  
Public Transport ◽  
Traffic Management ◽  
Ground Truth ◽  
Video Camera ◽  
Analytical Models ◽  
Transport Systems ◽  
Microscopic Traffic Simulation ◽  
Passenger Traffic ◽  
New Public ◽  
Real Scale

The main source of delays in public transport systems (buses, trams, metros, railways) takes place in their stations. For example, a public transport vehicle can travel at 60 km per hour between stations, but its commercial speed (average en-route speed, including any intermediate delay) does not reach more than half of that value. Therefore, the problem that public transport operators must solve is how to reduce the delay in stations. From the perspective of transport engineering, there are several ways to approach this issue, from the design of infrastructure and vehicles to passenger traffic management. The tools normally available to traffic engineers are analytical models, microscopic traffic simulation, and, ultimately, real-scale laboratory experiments. In any case, the data that are required are number of passengers that get on and off from the vehicles, as well as the number of passengers waiting on platforms. Traditionally, such data has been collected manually by field counts or through videos that are then processed by hand. On the other hand, public transport networks, specially metropolitan railways, have an extensive monitoring infrastructure based on standard video cameras. Traditionally, these are observed manually or with very basic signal processing support, so there is significant scope for improving data capture and for automating the analysis of site usage, safety, and surveillance. This article shows a way of collecting and analyzing the data needed to feed both traffic models and analyze laboratory experimentation, exploiting recent intelligent sensing approaches. The paper presents a new public video dataset gathered using real-scale laboratory recordings. Part of this dataset has been annotated by hand, marking up head locations to provide a ground-truth on which to train and evaluate deep learning detection and tracking algorithms. Tracking outputs are then used to count people getting on and off, achieving a mean accuracy of 92% with less than 0.15% standard deviation on 322 mostly unseen dataset video sequences.

scholarly journals A GIS-Based Methodology for Evaluating the Increase in Multimodal Transport between Bicycle and Rail Transport Systems. A Case Study in Palermo

2021 ◽  
Vol 10 (5) ◽  
pp. 321
Author(s):  
Alessandro Emilio Capodici ◽  
Gabriele D’Orso ◽  
Marco Migliore
Keyword(s):  
High School ◽  
Public Transport ◽  
Choice Model ◽  
Rail Transport ◽  
Transport Systems ◽  
Sustainable Mobility ◽  
Transit System ◽  
Modal Choice ◽  
Transport Services ◽  
Multimodal Transport

Background: In a world where every municipality is pursuing the goals of more sustainable mobility, bicycles play a fundamental role in getting rid of private cars and travelling by an eco-friendly mode of transport. Additionally, private and shared bikes can be used as a feeder transit system, solving the problem of the first- and last-mile trips. Thanks to GIS (Geographic Information System) software, it is possible to evaluate the effectiveness of such a sustainable means of transport in future users’ modal choice. Methods: Running an accessibility analysis of cycling and rail transport services, the potential mobility demand attracted by these services and the possible multimodality between bicycle and rail transport systems can be assessed. Moreover, thanks to a modal choice model calibrated for high school students, it could be verified if students will be really motivated to adopt this solution for their home-to-school trips. Results: The GIS-based analysis showed that almost half of the active population in the study area might potentially abandon the use of their private car in favour of a bike and its combination with public transport systems; furthermore, the percentage of the students of one high school of Palermo, the Einstein High School, sharply increases from 1.5% up to 10.1%, thanks also to the combination with the rail transport service. Conclusions: The GIS-based methodology shows that multimodal transport can be an effective way to pursue a more sustainable mobility in cities and efficiently connect suburbs with low-frequent public transport services to the main public transport nodes.

scholarly journals A Study on the Corridor of Urban Public Transport Systems in Japan

2005 ◽  
Vol 22 ◽  
pp. 643-650
Author(s):  
Tsutomu YABE ◽  
Fumihiko NAKAMURA ◽  
Toshiyuki OKAMURA
Keyword(s):  
Public Transport ◽  
Transport Systems ◽  
Urban Public Transport
Sign in / Sign up

Export Citation Format

Share Document