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Abstract: Computer traffic simulation is important for making new traffic-control strategies. Microscopic traffic simulators can model traffic flow in a realistic manner and are ideal for agent-based vehicle control. In this paper we describe a model of a reactive agent that is used to control a simulated vehicle. The agent is capable of tactical-level driving and has different driving styles. To ensure fast reaction times, the agent's driving task is divided in several competing and reactive behaviour... (Update)
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BibTeX entry: (Update)
@misc{ ehlert-intelligent,
author = "Patrick Ehlert",
title = "Intelligent Driving Agents: The Agent Approach to Tactical Driving in Autonomous
Vehicles and Traffic Simulation",
url = "citeseer.ist.psu.edu/ehlert01intelligent.html" }
Citations (may not include all citations):1364 A robust layered control system for a mobile robot (context) - Brooks - 1986
274 Behavior-based robotics (context) - Arkin - 1998
260 BDI Agents: From Theory to Practice - Rao, Georgeff - 1995
70 Multi-agent systems: an introduction to distributed artifici.. (context) - Ferber - 1999
47 ARCHON: an architecture for multi-agent systems (context) - Wittig - 1992
13 Situation awareness for tactical driving - Sukthankar - 1997
10 A Simulation and Design System for Tactical Driving Algorith.. - Sukthankar, Hancock et al. - 1996
2 Multi-Agent Traffic Simulation - Street (context) - Chong - 1996
2 Multi-agent Traffic Simulation -- Vehicle (context) - Chan - 1996
2 A Multi-Agent Approach towards Modelling Urban Traffic Scena.. (context) - Bomarius - 1992
2 Agent-oriented progamming (context) - Shoham - 1993
Documents on the same site (http://www.kbs.twi.tudelft.nl/People/Staff/P.A.M.Ehlert/index.html): More
The use of Artificial Intelligence in autonomous mobile robots - Ehlert (1999) (Correct)
A Reactive Driving Agent For Microscopic Traffic Simulation - Ehlert, Rothkrantz (2001) (Correct)
The use of Artificial Intelligence in autonomous mobile robots - Ehlert (1999) (Correct)
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