TAPAS: A multi-agent-based model for simulation of transport chains

Holmgren, Johan; Davidsson, Paul; Persson, Jan; Ramstedt, Linda

doi:10.1016/j.simpat.2011.12.011

Cited by 89 publications

(35 citation statements)

References 27 publications

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“…The application of ABM in the modelling of transport is diverse. In [19] the authors present a TAPAS system for simulation of transport chains, aimed towards transport-related policy and infrastructure measures. Similarly, in [20], the authors deliver insights in the use of agent-based modelling of transport logistics.…”

Section: Matsimmentioning

confidence: 99%

Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling

Novosel

Perković

Ban

et al. 2015

Energy

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The transportation sector is one of the major energy consumers in most energy systems and a large portion of the energy demand is linked to road transport and personal vehicles. It accounted for 32.8% of the final energy consumption of Croatia in 2011 making it the second most energy demanding sector. Because of their higher efficiency, a modal switch from conventional internal combustion engines (ICE) to electric vehicles (EVs) has the potential to greatly reduce the overall energy demand of the transport sector. Our previous work has shown that a transition to EVs in a combination with a modal split from air and road to rail transport can reduce the energy consumption in Croatia by 99 PJ, which is approximately 59%, by the year 2050 when compared to the business as usual scenario. The goal of this paper is to model the hourly distribution of the energy consumption of EVs and use the calculated load curves to test their impact on the Croatian energy system. The hourly demand for the transport sector has been calculated using the agent-based modelling tool MATSim on a simplified geographic layout. The impact EVs have on the energy system has been modelled using EnergyPLAN.

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Section: Matsimmentioning

confidence: 99%

Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling

Novosel

Perković

Ban

et al. 2015

Energy

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“…In this approach, visualization is timedependent as opposed to our approach which is visualization of output data of simulation scenarios. For this purpose, we explore a multi-agent based simulation model for transportation and production called TAPAS [4].…”

Section: Related Workmentioning

confidence: 99%

A visualization toolkit for transportation simulation systems

Hajinasab

Davidsson

Löwgren

et al. 2012

Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design

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In this work, we investigate how visualization techniques could address the challenges of transportation simulation data analysis in order to facilitate the decision-making process for transportation simulation users. For this purpose, we have applied the visualization methods in a real implemented agent-based transportation simulator called TAPAS as a case. We have analyzed the visualization related requirements of users using a user-centric approach and an interactive visualization toolkit has been designed and developed based on the identified requirements. This paper presents a description of the visualization toolkit which will be used to investigate how the actors in a transport chain are expected to act when different types of governmental control policies are applied, such as, fuel taxes, road tolls, vehicle taxes and requirements on vehicles.

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“…The main purpose of TAPAS is to function as a decision support system for different types of users and stakeholders by allowing them to study different types of transport measures. A detailed description of TAPAS, including technical details, is provided in [8].…”

Section: The Tapas Simulation Toolmentioning

confidence: 99%

Multi-Agent-Based Simulation for Analysis of Transport Policy and Infrastructure Measures

Holmgren

Ramstedt

Davidsson

et al. 2012

Agent Based Simulation for a Sustainable Society and Multi-Agent Smart Computing

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Abstract. In this paper we elaborate on the usage of multi-agent-based simulation (MABS) for quantitative impact assessment of transport policy and infrastructure measures. We provide a general discussion on how to use MABS for freight transport analysis, focusing on issues related to input data management, validation and verification, calibration, output data analysis, and generalization of results. The discussion is built around an agent-based transport chain simulation tool called TAPAS (Transportation And Production Agent-based Simulator) and a simulation study concerning a transport chain around the Southern Baltic Sea.

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TAPAS: A multi-agent-based model for simulation of transport chains

Cited by 89 publications

References 27 publications

Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling

Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling

A visualization toolkit for transportation simulation systems

Multi-Agent-Based Simulation for Analysis of Transport Policy and Infrastructure Measures

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