An analysis of agent-based approaches to transport logistics

Davidsson, Paul; Henesey, Lawrence; Ramstedt, Linda; Törnquist, Johanna; Wernstedt, Fredrik

doi:10.1016/j.trc.2005.07.002

Cited by 264 publications

(118 citation statements)

References 34 publications

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“…These "living lab" environments require models that are stakeholder-inclusive, represent processes at the operational level, and allow anticipation into the future about possible effects of measures. Agent Based Modelling was signalled about a decade ago as a feasible modelling approach (Davidsson et al, 2005;Liedtke 2006Liedtke , 2009 and is now gaining acceptance as a policy support tool (Donnelly andWigan, 2012 andGatta &Marcucci, 2014). Rooted in discrete event simulation, these models also allow a detailed description of reasoning agents, representing the stakeholders, and indicate which emergent behaviour is to be expected.…”

Section: New Directionsmentioning

confidence: 99%

The issues in modelling freight transport at the national level

Jong¹,

Tavasszy

Bates³

et al. 2016

Case Studies on Transport Policy

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Section: New Directionsmentioning

confidence: 99%

The issues in modelling freight transport at the national level

Jong¹,

Tavasszy

Bates³

et al. 2016

Case Studies on Transport Policy

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“…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. This paper focuses on the simulation of urban transport, such as the study presented in [21], where the authors present a study on driver behaviour in congested streets of the city of Brisbane.…”

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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“…In these work, the circuit models of the permanent magnet synchronous generator were developed using the rotor reference frame (dq) for predicting the PMSG's transient behavior. Mathematical and dynamic models of fuel cells were described in many papers [46][47][48][49]. A dynamic electrochemical model of the PEMFC along with the simulations and validation results were presented by [28] that showed fuel cell dynamics as well as its power generation.…”

Section: C) Microturbine Modelmentioning

confidence: 99%

Modeling and Simulation of a DG-Integrated Intelligent Microgrid

Rahman¹,

Pipattanasomporn²

2010

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An analysis of agent-based approaches to transport logistics

Cited by 264 publications

References 34 publications

The issues in modelling freight transport at the national level

The issues in modelling freight transport at the national level

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

Modeling and Simulation of a DG-Integrated Intelligent Microgrid

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