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An approach to identify bottlenecks in road networks using travel time variations: a case study in the city of Colombo and suburbs

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dc.contributor.author Thilakshan, T
dc.contributor.author Rajapaksha, G
dc.contributor.author Bandara, S
dc.contributor.editor Edussooriya, C
dc.contributor.editor Weeraddana, CUS
dc.contributor.editor Abeysooriya, RP
dc.date.accessioned 2022-08-09T03:42:54Z
dc.date.available 2022-08-09T03:42:54Z
dc.date.issued 2020-07
dc.identifier.citation T. Thilakshan, G. Rajapaksha and S. Bandara, "An Approach to Identify Bottlenecks in Road Networks using Travel Time Variations: A Case Study in the City of Colombo and Suburbs," 2020 Moratuwa Engineering Research Conference (MERCon), 2020, pp. 372-377, doi: 10.1109/MERCon50084.2020.9185338. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18562
dc.description.abstract Bottlenecks in road networks are the main contributing factor in terms of traffic congestion in urban areas and thus, identification of bottlenecks and introduction of relevant remedies are important in easing the traffic congestion especially in the case of developing countries where funding for new transport infrastructure projects is a major factor of concern. This study discusses on identification of bottlenecks using crowdsource real- time travel time data which is more effective in terms of collection and usage in analysis. The usual travel time collection process is thus replaced by using Google Maps API matrix. Shortest travel time and travel distance paths among main origin and destinations are analyzed and the contrast in shortest distance path not being the shortest travel time path brings an important consideration of the reasons associated mainly due to presence of bottlenecks which needs to be identified and rectified for better road user experience. After a macro level approach in the identification process, certain transportation indices such as Congestion Index, Delay Rate Index and Travel Rate Ratio in a meso and micro level analysis perspective are utilized to ensure the identification of critical bottlenecks along minimum distance paths in the road network of main roads. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9185338 en_US
dc.subject bottlenecks en_US
dc.subject travel time en_US
dc.subject google maps API en_US
dc.subject traffic congestion en_US
dc.subject road networks en_US
dc.title An approach to identify bottlenecks in road networks using travel time variations: a case study in the city of Colombo and suburbs en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Engineering Research Unit, University of Moratuwa en_US
dc.identifier.year 2020 en_US
dc.identifier.conference Moratuwa Engineering Research Conference 2020 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 372-377 en_US
dc.identifier.proceeding Proceedings of Moratuwa Engineering Research Conference 2020 en_US
dc.identifier.email 198066d@uom.lk en_US
dc.identifier.email 158002T@uom.lk en_US
dc.identifier.email bandara@uom.lk en_US
dc.identifier.doi 10.1109/MERCon50084.2020.9185338 en_US


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