Traffic Assignment Using a Density-Based Travel-Time Function for Intelligent Transportation Systems
العنوان: | Traffic Assignment Using a Density-Based Travel-Time Function for Intelligent Transportation Systems |
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المؤلفون: | S. Shankar Sastry, Pushkin Kachroo |
المصدر: | IEEE Transactions on Intelligent Transportation Systems. 17:1438-1447 |
بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2016. |
سنة النشر: | 2016 |
مصطلحات موضوعية: | 050210 logistics & transportation, Engineering, Mathematical optimization, Mathematical model, business.industry, Mechanical Engineering, 05 social sciences, Diagram, 02 engineering and technology, Function (mathematics), Traffic flow, Computer Science Applications, Flow (mathematics), 0502 economics and business, Automotive Engineering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Three-phase traffic theory, Link (knot theory), business, Intelligent transportation system, Simulation |
الوصف: | This paper presents and shows why density-based travel-time function is consistent with the fundamental diagram from traffic theory and then reviews the applications of travel time in intelligent transportation systems. This paper presents a density-based travel-time function that does not have the ill-posedness that is present in flow-based travel-time functions. The classic steady-state traffic assignment is cast using this new travel-time function, and corresponding mathematical programming formulations are proposed. It is shown that the modified Beckman formulation based on the density-based travel-time function provides a unique solution for link flows and link densities where the Wardrop condition has nonunique values for arc traffic densities. |
تدمد: | 1558-0016 1524-9050 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::8baca831c15088def216b8ebaa22d6f2Test https://doi.org/10.1109/tits.2015.2503348Test |
حقوق: | CLOSED |
رقم الانضمام: | edsair.doi...........8baca831c15088def216b8ebaa22d6f2 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15580016 15249050 |
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