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A review on agent-based technology for traffic and transportation
TLDR
In the present paper, the literature related to the areas of agent-based traffic modelling and simulation, and agent- based traffic control and management is reviewed. Expand
Route Decision Behaviour in a Commuting Scenario: Simple Heuristics Adaptation and Effect of Traffic Forecast
TLDR
Simulation of driver decision-making, and the role of a traffic forecast component, are addressed, which confirm that a traffic system in which a large share of drivers reacts to the forecast will not develop into equilibrium, and a more stable situation arises by introducing some individual tolerance to sub-optimal forecasts. Expand
SeSAm: implementation of agent-based simulation using visual programming
In this paper, we present the most important features of SeSAm, a modeling and simulation platform for multi-agent simulations. Based on a declarative, explicit model representation and visualExpand
Large-Scale Agent-Based Pedestrian Simulation
TLDR
Going beyond traditional approaches for microscopic pedestrian simulation, the simulated pedestrians are not only capable of moving without collisions between two pre-defined locations, but are able to flexibly plan and re-plan their way through the railway station. Expand
Introduction to Intelligent Systems in Traffic and Transportation
TLDR
This book aims at giving a broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology. Expand
Techniques for Analysis and Calibration of Multi-agent Simulations
TLDR
Analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding society simulation model are presented. Expand
From Simulated to Real Environments: How to Use SeSAm for Software Development
TLDR
The integrated environment SeSam and recent extensions are presented, that allow creating simulated environments for agent based software as well as actually developing and deploying software agents. Expand
To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents
TLDR
The effects of integrating co-adaptive decision-making regarding route choices and control measures for drivers and traffic lights, based on local perceptions are discussed. Expand
SIMULATING DAILY ACTIVITIES IN A SMART HOME FOR DATA GENERATION
TLDR
The basic idea is to integrate the simulation of a sensorised apartment with human behaviour modelling based on constraint-based planning that produces a sequence of daily activities that exhibits the same relevant properties as data from a comparable real-world apartment. Expand
AMASON: Abstract Meta-model for Agent-Based SimulatiON
TLDR
An attempt formalizing a general view of MABS models by defining the AMASON meta-model that captures the basic structure and dynamics of a MABS model. Expand
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