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

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

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

The three-model screen

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All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

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

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

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

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

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

Abstract

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.

Stored with the screening record, where it is evidence for the labels above.

The record

Venue
Transportation Research Board 86th Annual MeetingTransportation Research Board
Topic
Traffic control and management
Field
Engineering
Canadian institutions
Funders
Keywords
Park and ridePedestrianCellular automatonTransport engineeringMetropolitan areaComputer scienceVariety (cybernetics)Simulation modelingTraffic congestionSimulationOperations researchEngineeringPublic transport
Has abstract in OpenAlex
yes