C. Schmidt, Azita Dabiri, Frederik Schulte, R. Happee, J. K. Moore
{"title":"Essential Bicycle Dynamics for Microscopic Traffic Simulation: An Example Using the Social Force Model","authors":"C. Schmidt, Azita Dabiri, Frederik Schulte, R. Happee, J. K. Moore","doi":"10.59490/649d4037c2c818c6824899bd","DOIUrl":null,"url":null,"abstract":"Microscopic traffic simulation is a popular tool in traffic research and planning. It enables the evaluation of interventions in a traffic\nsystem based on the movement of individual simulated agents. These can be for example infrastructural changes or the introduction\nof new road users like automated vehicles. To simulate cyclists, traditional simulation techniques have to be adapted. We propose a microscopic model describing bicycle interaction using the social force paradigm. Here we take into account bicycle kinematics, to create realistic bicycle paths.\nQualitative evaluation shows simulated interactions with plausible cyclist trajectories.","PeriodicalId":141471,"journal":{"name":"The Evolving Scholar - BMD 2023, 5th Edition","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Evolving Scholar - BMD 2023, 5th Edition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59490/649d4037c2c818c6824899bd","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Microscopic traffic simulation is a popular tool in traffic research and planning. It enables the evaluation of interventions in a traffic
system based on the movement of individual simulated agents. These can be for example infrastructural changes or the introduction
of new road users like automated vehicles. To simulate cyclists, traditional simulation techniques have to be adapted. We propose a microscopic model describing bicycle interaction using the social force paradigm. Here we take into account bicycle kinematics, to create realistic bicycle paths.
Qualitative evaluation shows simulated interactions with plausible cyclist trajectories.