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Cellular Automaton Simulation of Vehicle Dynamics in Park-and-Ride Facilities

2007· article· en· 1 citations· W625426764 sur OpenAlex

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Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

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strate : about_only · poids de sondage : 3321.24 (l'échantillon est stratifié ; tout taux calculé sans le poids est faux)
Claude Opus 4.8OUT
genre : empirical
porte sur le Canada: non
confiance: high

Cellular-automaton simulation of vehicle dynamics in park-and-ride lots; a transportation-engineering question.

GPT-5.6 (high)OUT
genre : empirical
porte sur le Canada: non
confiance: high

This models vehicle movement in park-and-ride facilities, not research practice.

Grok 4.5OUT
genre : empirical
porte sur le Canada: non
confiance: high

Transportation simulation of park-and-ride vehicle dynamics; traffic engineering, not research.

Résumé

Many metropolitan areas offer park-and-ride facilities to help increase transit ridership and reduce congestion. However, studies of vehicle movements within such facilities are few. A thorough understanding of the vehicle dynamics will benefit both transportation planners in forecasting demand for park-and-ride and facility designers in making objective evaluation of alternative layouts. This paper presents a microscopic park-and-ride simulation model using the Cellular Automata approach. Review of parking lot simulation models in the past are performed, and their limitations are identified and addressed in the paper. Different techniques of CA applications in traffic and pedestrian modeling are analyzed and applied in the model. The park-and-ride model is a discrete time and space model composed of five fundamental components that operate in each time step. These components together simulate a variety of driver actions such as surveying of environment, making parking choice decisions, steering and controlling of vehicles. With Kipling Station South lot in Toronto as the testing site, the AM Peak period traffic is simulated. Using vehicle arrival rate and gate processing time as model input, the model is able to generate a realistic simulation of vehicle dynamics within the facility. The parking occupation trend is comparable with the observed trend. The use of simulation in comparing two different parking lot designs is also performed to illustrate one of the many uses of the model.

Conservé avec la notice de tri, où il sert de preuve aux étiquettes ci-dessus.

La notice

Revue
Transportation Research Board 86th Annual MeetingTransportation Research Board
Thématique
Traffic control and management
Domaine
Engineering
Établissements canadiens
Organismes subventionnaires
Mots-clés
Park and ridePedestrianCellular automatonTransport engineeringMetropolitan areaComputer scienceVariety (cybernetics)Simulation modelingTraffic congestionSimulationOperations researchEngineeringPublic transport
Résumé présent dans OpenAlex
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