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, Janzen, Maxim, Vanhoof, Maarten, 2015 >>
Autor(en): Janzen, Maxim, Vanhoof, Maarten
Titel: Report for the Collaboration between Orange Labs France and IVT, ETH Zurich
Kurzbeschreibung: To date, travel demand generation for microscopic traffic flow simulation and travel demand model focuses on reproducing and predicting daily behavior. This stands in contrast to the significant part of traffic volume caused by journeys related to activities not usually undertaken during daily life. In order to investigate the long-distance travel behavior a collaboration of IVT, ETH Zurich and the Orange Labs, France is initiated. The idea of this collaboration is to analyze available mobile phone positioning data with a focus on reconstruction of long-distance trips.2
Publikationsdatum / Empfangsdatum: 2015-06-01
Publikations-Status: Zürich
Publikations-Status: Published
Sprache: English
DBID Quelle: FORM-1442391506
, Janzen, Maxim, Axhausen, Kay W., 2015 >>
Autor(en): Janzen, Maxim, Axhausen, Kay W.
Titel: Activity Planning in a Continuous Long-Term Travel Demand Microsimulation
Kurzbeschreibung: To date, travel demand generation for microscopic traffic flow simulations and travel demand models focuses on reproducing daily life behavior. This stands in contrast to the significant part of traffic volume caused by journeys related to activities not usually undertaken during daily life.
In the case of long distance travel demand it is necessary to simulate a long period of travel behavior, because long distance trips are usually rare and often last longer than one day. We use and adapt the Continuous Target-based Activity Planning (C-TAP) simulation in order to simulate long distance travel demand for a long time period. The adapted model, Long- Term C-TAP, was used for a simulation of one year. In comparison to other activity driven microsimulations the activities taken account in the Long-Term C-TAP simulation are highly abstracted. Besides the main activity called daily life (including home stays, work, daily shopping etc.) we simulate all stays (e.g. holidays) taking place more than 100km away from the place of residence.
One of the characteristics of long-term and long-distance travel behavior is the enlarged planning horizon, i.e. people tend to plan activities in advance. This fact has to be captured in an agent- based simulation, like Long-Term C-TAP. We will introduce a decision making algorithm based on the minimization of the discomfort, which values each possible series of activities. Each series is defined by activity types for each activity, time periods for each activity and (fixed) travel times between the activities. In order to allow an arbitrary planning horizon the main objective of this algorithm is scalability.2
Publikationsdatum / Empfangsdatum: 2015-04-01
Publikations-Status: Ascona
Publikations-Status: Published
Einordnungen: Continuous target based model, Long term simulation, Long distance travel demand, Microscopic travel demand simulation, C-TAP
Eventname: 15th Swiss Transport Research Conference (STRC 2015)
Eventdatum: April 15-17, 2015
Ort: Ascona, Switzerland
Sprache: English
Schlüsselwort: Continuous target based model, Long term simulation, Long distance travel demand, Microscopic travel demand simulation, C-TAP
DBID Quelle: FORM-1432316365
, Janzen, Maxim, Axhausen, Kay W., 2015 >>
Autor(en): Janzen, Maxim, Axhausen, Kay W.
Titel: Population Generation for Continuous Long-Distance Travel Demand Simulations
Kurzbeschreibung: Microsimulations have become more important in the field of travel demand generation over the last years. However, most of the simulations developed focus on daily-life or short-term travel demand, although the share of the overall traffic volume caused by journeys not undertaken in daily life is increasing. The main goal of this research is the development of a new microsimulation, which is able to generate long-distance travel demand for a long period of time, say 6 or 12 months. An important step in this development is the implementation of a population generator. This paper describes in detail the population of the underlying microsimulation. It shows the problems facing a synthesis of a population for a long-term simulation and presents diverse solutions including an advice for the population generation of Long-Term C-TAP. The presented solutions involve the concept of reproducing (joint) distributions as well as the idea of using statistical models.2
Publikationsdatum / Empfangsdatum: 2015-01-01
Eventname: 14th International Conference on Travel Behavior Research (IATBR)
Eventdatum: 19-23 July 2015
Ort: Windsor, UK
Sprache: English
DBID Quelle: FORM-1446898021
, Janzen, Maxim, Axhausen, Kay W., 2015 >>
Autor(en): Janzen, Maxim, Axhausen, Kay W.
Titel: Long-Term-C-TAP Simulation: Generating Long Distance Travel Demand for a full Year
Kurzbeschreibung: To date, travel demand generation for microscopic traffic simulation has focused mostly on reproducing daily life. This stands in contrast to the significant part of traffic caused by journeys related to activities not usually undertaken in daily life. The paper investigates the possibilities of extending an existing approach (continuous target-based planning) to cover some of these exceptional activities. A microscopic continuous target-based model applies the idea of agents which try to satisfy individual, behavioral targets by execution of corresponding activities. The decisions on the executed activities are based on heuristic functions. Simulations using this model usually produce data for a few weeks and thus take only daily life into account. This paper shows how to modify this approach in order to generate travel demand for a full year. The main proposed modification is a new model for the activity planing module. This leads to an enormous reduction in the number of calibration parameters in comparison to similar models. Additionally, validation results show that the simulation is able to produce reasonable travel demand patterns including the impact of weekdays as well as seasonal effects.2
Buchtitel: TRB 94th Annual Meeting Compendium of Papers
Seiten: 15-2759
Publikationsdatum / Empfangsdatum: 2015-01-01
Publikations-Status: Washington, DC
Publikations-Status: Published
Eventname: 94th Annual Meeting of the Transportation Research Board (TRB 2015)
Eventdatum: January 11-15, 2015
Ort: Washington, DC
Sprache: English
DBID Quelle: FORM-1407399145
, Janzen, Maxim, Charypar, David, Axhausen, Kay W., 2014 >>
Autor(en): Janzen, Maxim, Charypar, David, Axhausen, Kay W.
Titel: Long Term Simulation of a Continuous Target-Based Model
Kurzbeschreibung: To date, travel demand generation for microscopic traffic flow simulation focuses mostly on reproducing daily life behavior. This stands in contrast to the significant part of traffic volume caused by journeys related to activities not usually undertaken in daily life. The paper investigates the possibilities of extending an existing approach (continuous target-based planning) to cover some of these exceptional activities. This paper discusses the possibilities to extend the continuous target-based approach in order to generate long term travel demand including journeys which are not part of daily life (e.g. going on holidays). The proposed extensions include new low-frequenced targets with higher travel times than daily life targets. Consequences and the necessary adaptions of the heuristics used arising from these special targets are presented here.2
Publikationsdatum / Empfangsdatum: 2014-05-01
Publikations-Status: Ascona
Publikations-Status: Published
Einordnungen: Continuous target based model, Long term simulation, Long distance travel demand, Microscopic travel demand simulation, C-TAP
Eventname: 14th Swiss Transport Research Conference (STRC 2014)
Eventdatum: May 14-16, 2014
Ort: Monte Verità, Ascona, Switzerland
Sprache: English
Schlüsselwort: Continuous target based model, Long term simulation, Long distance travel demand, Microscopic travel demand simulation, C-TAP
DBID Quelle: FORM-1400087848
, Janzen, Maxim, 2014 >>
Autor(en): Janzen, Maxim
Titel: Long Term Simulation of a Continuous Target-Based Model
Kurzbeschreibung: 2
Publikationsdatum / Empfangsdatum: 2014-01-01
Publikations-Status: Zürich
Publikations-Status: Published
Eventname: Institutsvollversammlung (IVV) IVT ETH Zürich
Eventdatum: July 10, 2014
Ort: ETH Zürich
Sprache: English
DBID Quelle: FORM-1413108811

 

 

 

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