2019
DOI: 10.1007/s11116-019-09997-3
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Modelling traffic flows and estimating road travel times in transportation network under dynamic disturbances

Abstract: DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal re… Show more

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Cited by 13 publications
(4 citation statements)
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References 38 publications
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“…Technology users naturally gravitate towards the route options with lowest latency and will either displace other commuters (flow splitting) or enter an informational lockin cycle depending on the capacity of the fastest route. On shorter timescales, dynamic adaptation of the route choices and suggestions during trips may introduce additional effects and contribute to an explanation for spontaneous formation of congestion [41,42], for example depending on the type and limits of the available information.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Technology users naturally gravitate towards the route options with lowest latency and will either displace other commuters (flow splitting) or enter an informational lockin cycle depending on the capacity of the fastest route. On shorter timescales, dynamic adaptation of the route choices and suggestions during trips may introduce additional effects and contribute to an explanation for spontaneous formation of congestion [41,42], for example depending on the type and limits of the available information.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…This amalgamation ensures a balance between a holistic view and detailed insights. Multilevel or multi-resolution methods are typically employed in the construction of mesoscopic models, with examples including the three-tiered hybrid model (e.g., Storani et al, 2021;Jiang et al, 2020) and the multi-resolution hybrid simulation system (Son et al, 2022).…”
Section: Traffic Modelmentioning
confidence: 99%
“…Entering large amounts of input data discourages operators and dispatchers from using the tool. By defining only the most important input data, it will be possible to prevent the dangers of diversion of hazardous materials to cities, so as not to endanger the health and life of the population [9,10].…”
Section: Application Of the Proposed Toolmentioning
confidence: 99%
“…This merging process has many other advantages, but we can also find disadvantages that are not as discouraging as possible. The more common input data can be avoided by jeopardizing the diversion of hazardous materials into cities to avoid threats to the health and life of the population [9,10,17].…”
Section: Application Of the Proposed Toolmentioning
confidence: 99%