Multi- and intermodal Trip Chain Simulation for individual daily Routines, using Bicycles

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

In recent years, the funding of bicycle traffic especially in European countries has increased substantially.
Nevertheless, bicycles are often not depicted in detail within traffic models. Especially for bicycle traffic, research
just started to contribute better understandings of spatio-temporal distribution of cycle trips. Without realistic
bicycle models, neither the initial state can be consistently evaluated, nor can an assessment of the effectiveness
measures be carried out. Within this paper, we focus on a framework for routing and utility calculation of bicycle
trips within agent-based simulation environment. Therefore, we consider influencing factors, coming from
environment or infrastructure side. As bicyclists do not necessarily take the shortest path, we developed an edge
weight calculation to feed the Dijkstra Algorithm. With it a unique route for each person is found. Every person
perceives a utility for the chosen route, dependent on the conceived friendliness of cycling. In further consequence
this paper represents the base work for the simulation of e-bike sharing and intermodal trips involving bicycles.
Original languageEnglish
Publication statusPublished - Apr 2018
EventTransport Research Arena 2018: A digital era for transport - Wien, Austria
Duration: 16 Apr 201819 Apr 2018
http://www.traconference.eu/

Conference

ConferenceTransport Research Arena 2018
Abbreviated titleTRA 2018
CountryAustria
CityWien
Period16/04/1819/04/18
Internet address

Keywords

    Cite this

    Multi- and intermodal Trip Chain Simulation for individual daily Routines, using Bicycles. / Hebenstreit, Cornelia; Fellendorf, Martin.

    2018. Paper presented at Transport Research Arena 2018, Wien, Austria.

    Research output: Contribution to conferencePaperResearchpeer-review

    Hebenstreit, C & Fellendorf, M 2018, 'Multi- and intermodal Trip Chain Simulation for individual daily Routines, using Bicycles' Paper presented at Transport Research Arena 2018, Wien, Austria, 16/04/18 - 19/04/18, .
    @conference{bf28b15123bb45bea70ce6acb3b45443,
    title = "Multi- and intermodal Trip Chain Simulation for individual daily Routines, using Bicycles",
    abstract = "In recent years, the funding of bicycle traffic especially in European countries has increased substantially.Nevertheless, bicycles are often not depicted in detail within traffic models. Especially for bicycle traffic, researchjust started to contribute better understandings of spatio-temporal distribution of cycle trips. Without realisticbicycle models, neither the initial state can be consistently evaluated, nor can an assessment of the effectivenessmeasures be carried out. Within this paper, we focus on a framework for routing and utility calculation of bicycletrips within agent-based simulation environment. Therefore, we consider influencing factors, coming fromenvironment or infrastructure side. As bicyclists do not necessarily take the shortest path, we developed an edgeweight calculation to feed the Dijkstra Algorithm. With it a unique route for each person is found. Every personperceives a utility for the chosen route, dependent on the conceived friendliness of cycling. In further consequencethis paper represents the base work for the simulation of e-bike sharing and intermodal trips involving bicycles.",
    keywords = "Bicycle Traffic; Bicycle Routing; Utility-Function; agent-based modelling",
    author = "Cornelia Hebenstreit and Martin Fellendorf",
    year = "2018",
    month = "4",
    language = "English",
    note = "Transport Research Arena 2018 : A digital era for transport, TRA 2018 ; Conference date: 16-04-2018 Through 19-04-2018",
    url = "http://www.traconference.eu/",

    }

    TY - CONF

    T1 - Multi- and intermodal Trip Chain Simulation for individual daily Routines, using Bicycles

    AU - Hebenstreit, Cornelia

    AU - Fellendorf, Martin

    PY - 2018/4

    Y1 - 2018/4

    N2 - In recent years, the funding of bicycle traffic especially in European countries has increased substantially.Nevertheless, bicycles are often not depicted in detail within traffic models. Especially for bicycle traffic, researchjust started to contribute better understandings of spatio-temporal distribution of cycle trips. Without realisticbicycle models, neither the initial state can be consistently evaluated, nor can an assessment of the effectivenessmeasures be carried out. Within this paper, we focus on a framework for routing and utility calculation of bicycletrips within agent-based simulation environment. Therefore, we consider influencing factors, coming fromenvironment or infrastructure side. As bicyclists do not necessarily take the shortest path, we developed an edgeweight calculation to feed the Dijkstra Algorithm. With it a unique route for each person is found. Every personperceives a utility for the chosen route, dependent on the conceived friendliness of cycling. In further consequencethis paper represents the base work for the simulation of e-bike sharing and intermodal trips involving bicycles.

    AB - In recent years, the funding of bicycle traffic especially in European countries has increased substantially.Nevertheless, bicycles are often not depicted in detail within traffic models. Especially for bicycle traffic, researchjust started to contribute better understandings of spatio-temporal distribution of cycle trips. Without realisticbicycle models, neither the initial state can be consistently evaluated, nor can an assessment of the effectivenessmeasures be carried out. Within this paper, we focus on a framework for routing and utility calculation of bicycletrips within agent-based simulation environment. Therefore, we consider influencing factors, coming fromenvironment or infrastructure side. As bicyclists do not necessarily take the shortest path, we developed an edgeweight calculation to feed the Dijkstra Algorithm. With it a unique route for each person is found. Every personperceives a utility for the chosen route, dependent on the conceived friendliness of cycling. In further consequencethis paper represents the base work for the simulation of e-bike sharing and intermodal trips involving bicycles.

    KW - Bicycle Traffic; Bicycle Routing; Utility-Function; agent-based modelling

    M3 - Paper

    ER -