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Title: Identifying and Visualising Operational Bottlenecks for Public Transport Considering Queue Length, Bus Load Profiles and a Sharper Data Source
Accession Number: 01663513
Record Type: Component
Abstract: An accurate identification of speed related problems depends on both quality and precision of tools used to analyse the available operational data, which should consider impacts on users and operational costs. This study presents an extension of the tool developed by Bucknell et al. (2017), which allows to identify and visualise bottlenecks on the transit system operation based on bus speed profiles per route. Three major improvements have been made to their methodology: (i) more detailed data, with global positioning system (GPS) signals every 250 metres and every 15 minutes, (ii) queue length estimation for identified bottlenecks, and (iii) incorporation of bus load profiles in the analysis. These extensions allow a better identification of bottlenecks and a more precise measure of their impact on bus riders. The model is applied to Santiago’s transit system, and a comparison between the results obtained with this new methodology and the output of the former tool is presented. Differences among the spatial distribution of the opportunities in the city and the critical areas are discussed. The new tool allows a better identification and prioritisation of the opportunities in the city, allowing to allocate resources in those bottlenecks with the greatest potential increase in social welfare.
Supplemental Notes: This paper was sponsored by TRB committee AP015 Standing Committee on Transit Capacity and Quality of Service.
Report/Paper Numbers: 18-01520
Language: English
Authors: Schmidt, AlejandroMoya, JaimeCruz, DiegoMuñoz, Juan CarlosPagination: 7p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; References
TRT Terms: Geographic Terms: Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-01520
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:23AM
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