Urban Traffic Modeling and Simulation: Moroccan Capital Case Study
| Autor: | Sébastien Verel, Fonlupt Cyril, Aboutaib Brahim, Virginie Marion, Bahili Lahoucine |
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| Přispěvatelé: | Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC), Université du Littoral Côte d'Opale (ULCO) |
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
0209 industrial biotechnology 021103 operations research Operations research Computer science 05 social sciences 0211 other engineering and technologies 02 engineering and technology Synthetic population Work related Modeling and simulation 020901 industrial engineering & automation Capital (economics) Obstacle 0502 economics and business 11. Sustainability 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] 020201 artificial intelligence & image processing Model building ComputingMilieux_MISCELLANEOUS |
| Zdroj: | SSRN Electronic Journal Smart Application and Data Analysis for Smart Cities (SADASC'18) Smart Application and Data Analysis for Smart Cities (SADASC'18), Feb 2018, Casablanca, Morocco. ⟨10.2139/ssrn.3187065⟩ |
| ISSN: | 1556-5068 |
| DOI: | 10.2139/ssrn.3187065 |
| Popis: | Due to its major role in assuring services based on transportation, urban traffic is no more a facultative subject. The common step between all existing work related to this area is modeling urban traffic. Different approaches are available, and each one has benefits and drawbacks, but the main obstacle behind many of existing approaches is the availability of data to use in model building. In this paper we propose a dataless solution based on activities to model traffic demand of a generated synthetic population, and a microscopic multiagent system to simulate and analyze urban traffic in Moroccan capital Rabat. |
| Databáze: | OpenAIRE |
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