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Simulation Applied to Urban Logistics: A State of the Art
[chapter]
2018
City Logistics 3
Preserved Fulltext
As a result, it offers a practical reference for urban logistics researchers and practitioners who wish to use simulation in order to study the behaviour and performance of their systems. ...
In most cases, simulation choices depend on the objective of the simulation, the role of the decision maker and the type of problem. ...
Ossowski et al. (2005) described a design method for building agent-based Decision Support System (DSS) for real-world traffic management problems. ...
doi:10.1002/9781119425472.ch4
fatcat:y3quubmu3zf7fgmgtmbbv3aliy
Traffic conflict reduction based on distributed stochastic task allocation
2022
Aeronautical Journal
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The aim of this paper is to provide preliminary results on a traffic coordination framework based on stochastic task allocation. ...
Multi-agent simulation results show that it is possible to control ensemble dynamics and together with that traffic safety and throughput via a single parameter. ...
For traffic management and coordination, a novel air traffic flow model is presented by Alam et al. [38] based on functional airspace blocks. ...
doi:10.1017/aer.2021.119
fatcat:plynj5peqbgoxha33xplz3awgy
International Workshop on Agent-Based Modelling of Urban Systems (ABMUS) Proceedings: 2022
[article]
2022
figshare.com
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Proceedings of the 2022 Agent-Based Modelling of Urban Systems (ABMUS) workshop. Part of the AAMAS conference. Further details: http://modelling-urban-systems.com/abmus2022/ ...
The next step in SynAc is to retain the sequential structure of transportation data, such as individual travels at a certain time from one area to another. ...
Teng Teck Hou for his feedback on earlier drafts of this manuscript as well as for research discussions during the elaboration of this work. ...
doi:10.6084/m9.figshare.19733800.v1
fatcat:sb2ynno5vfd4ffrml46sngr6by
Multi-agent Transit Operations and Assignment Model
2013
Procedia Computer Science
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This paper presents a framework for a multi-agent transit operations and assignment model which captures supply uncertainties and adaptive user decisions. ...
BusMezzo, a transit simulation model, is used as the platform for implementation. ...
Each matrix is transformed into a population of agents based on conditional probability functions for various attributes. ...
doi:10.1016/j.procs.2013.06.107
fatcat:fkowtltumrcmpcyfic3tthdh54
Linking Transport and Land Use Planning
[chapter]
2004
GeoDynamics
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The project ILUMASS (Integrated Land-Use Modelling and Transportation System Simulation) aims at embedding a microscopic dynamic simulation model of urban traffic flows into a comprehensive model system ...
The computerized platform, a handheld personal digital assistant (PDA), also enables the instrument to automatically trace and/or prompt for certain attributes of the decisions process. ...
Acknowledgements The joint research project ILUMASS is supported by a grant from the German Ministry of Education and Research (Bundesministerium für Bildung und Forschung -BMBF).
References ...
doi:10.1201/9781420038101.ch20
fatcat:rrp4k2rlifahjidoglkuizvwny
Is the Green Wave Really Green? The Risks of Rebound Effects When Implementing "Green" Policies
2021
Sustainability
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In this study, we use an agent-based model to investigate the benefit of a Green Wave in order to find out whether it can outweigh the effects of increased car use. ...
Especially in urban areas, traffic flow is not optimal and thus offers possibilities to reduce emissions. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/su13105411
fatcat:iibbw6kpgzb25k7aqy4lqcblza
Getting Real: The Challenge of Building and Validating a Large-Scale Digital Twin of Barcelona's Traffic with Empirical Data
2021
ISPRS International Journal of Geo-Information
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This paper, therefore, presents a new large-scale agent-based traffic microsimulation for the Barcelona urban area using SUMO to show the possibilities and challenges of building these scenarios based ...
Large-scale microsimulations are increasingly resourceful tools for analysing in detail citywide effects and alternative scenarios of our policy decisions, approximating the ideal of 'urban digital twins ...
This paper presents a pipeline to build a digital twin for the traffic flow in the large, dense, and congested urban area of Barcelona, Spain, based on novel cell-phone mobility data and publicly available ...
doi:10.3390/ijgi11010024
fatcat:o37ol63gi5hjlafusxneben2be
Evaluation of Freight Measures by Integrating Simulation Tools: The Case of Volos Port, Greece
2018
Transport and Telecommunication
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The built model is able to simulate the traffic conditions on a transport network along with port's intra-logistics processes and is used to evaluate a set of measures in the year 2030, by comparing it ...
Towards this direction, this paper aims to integrate two simulation software and use the integrated model for the evaluation of traffic and logistics measures in the wider area of Volos Port, Greece. ...
The European Commission is not liable for any use that may be made of the information contained in this paper. ...
doi:10.2478/ttj-2018-0019
fatcat:ghvqcebf5vgtvcy6wbyjphqoqu
A Generic Software Framework for Carsharing Modelling Based on a Large-Scale Multi-agent Traffic Simulation Platform
[chapter]
2017
Lecture Notes in Computer Science
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Our tool is based on MATSim, an open-source platform for multi-agent traffic simulation. ...
To validate our simulation model we will use a case study based on data from the 2006 Lyon conurbation household travel survey, which provides information about more than three million trips. ...
First, the MATSim layer is the base software component for traffic simulation, which, in turn, is based largely on the dependency injection design pattern [14] . ...
doi:10.1007/978-3-319-51957-9_6
fatcat:nu52lyxembafljaoqzdqs7dhz4
Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network
[article]
2020
arXiv
pre-print
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A 3-D state representation is designed as the input combined with a well defined reward function to train the agent for learning an appropriate behavior policy in a real-world like urban simulator. ...
In this work, a deep reinforcement learning based decision-making approach for high-level driving behavior is proposed for urban environments in the presence of pedestrians. ...
ACKNOWLEDGMENT This work was funded under project CAMPUS (Connected Automated Mobilty Platform for Urban Sustainability) sponsored by Programme d'Investissements d'Avenir (PIA) of french Agence de l'Environnement ...
arXiv:2010.13407v1
fatcat:ytgezd3alzddbpl4ws3cgbddje
Multi-Agent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC)
2012
2012 15th International IEEE Conference on Intelligent Transportation Systems
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In RL, a traffic signal represents a control agent that interacts with the traffic environment in a closed-loop system to achieve the optimal mapping between the environment's traffic state and the corresponding ...
Consequently the demand for mobility is increasing, resulting in severe traffic congestion in urban areas. ...
This thesis focused on the development of self-learning-based approaches to coordinate the behaviour of control agents in a multi-agent traffic control system with an emphasis on decentralised and scalable ...
doi:10.1109/itsc.2012.6338707
dblp:conf/itsc/El-TantawyA12
fatcat:ilrdw32r3jcdpg5mbrr46ek6ra
Coordination of Autonomous Vehicles: Taxonomy and Survey
[article]
2020
arXiv
pre-print
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Following, we overview the different approaches that can be adopted to manage such coordination problems, by classifying them in terms of the degree of autonomy in decision making that is left to autonomous ...
In this paper, we firstly introduce the general issues associated to coordination of autonomous vehicles, by identifying and framing the key classes of coordination problems. ...
ACKNOWLEDGMENTS The authors would like to thank the Italian MIUR PRIN 2017 Project "Fluidware" for supporting this work. ...
arXiv:2001.02443v1
fatcat:cpr5qinibnbczfu5zekejpobja
Physical Simulators of Critical Infrastructures
[chapter]
2016
Managing the Complexity of Critical Infrastructures
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This chapter provides a review on modeling and simulation approaches of critical infrastructures and in particular of electric power, telecommunications, water supply and drainage systems, and transportation ...
Critical Infrastructures are an essential asset in modern societies and our everyday life is heavily dependent on their reliable and secure operation. ...
For this reason, time-based approaches to studying vulnerability are more appropriate in high traffic density urban areas. ...
doi:10.1007/978-3-319-51043-9_4
fatcat:jcv4aplsvzcgpjecm4j2fn2mcm
Generation of a synthetic population for agent-based transport modelling with small sample travel survey data using statistical raster census data
2020
International Journal of Traffic and Transportation Management
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This paper presents a step-by-step method to generate a synthetic population for agent-based transport modelling as input to MATSim software, which requires an activity chain for each agent. ...
Therefore, we devise a method utilizing Bayesian networks, maximum likelihood and Markov Chain Monte Carlo simulation to reproduce attribute distribution and fit to raster margins. ...
Introduction Agent-based transport modelling is based on the idea of modelling the behavior of human agents, who take individual decisions as to when, how and where they move while being influenced by ...
doi:10.5383/jttm.02.02.002
fatcat:ml4hzt5o4jgdlcbhldwlauuiu4
Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing
[article]
2020
arXiv
pre-print
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The use of these agent-based models to simulate ride-sourcing fleets has been a focal point of many studies; however, this occurred in the absence of a prescribed approach on how to build the models to ...
We also introduce a model building sequence of the different modules necessary to structure a simulator based on our framework. ...
For example, in an agent-based model which simulates motor traffic, the environment would take the form of a road network. ...
arXiv:2011.11085v1
fatcat:qjfkkttkf5avhkenhv7vbnoj7q
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