AI for driving simulator vehicles and accident events

Vassilis Charissis, Sachi Arafat, Marianne Patera, Christodoulos Christomanos, Warren Chan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    A synthetic driving simulation environment requires a fleet of intelligent vehicles which can perform manoeuvring decisions in real-time and mingle orderly to form mixed traffic environments. The development of a driving simulator was part of a bigger project that evaluated a prototype Head-Up Display (HUD) interface. We therefore opted for a custom simulator that could effectively adapt to the needs of the given experiment. This paper presents the challenges we encountered during the implementation of realistic artificial intelligence (AI) in the traffic vehicles, which produced the analogous complexity driving events. A discussion follows regarding the design and modelling challenges of the robot drivers involved in the simulated accident scenarios. The paper discusses the outcomes of the user trials, suggests solutions to intriguing problems that derived from the experiment and reveals the phasma of our future work.
    Original languageEnglish
    Title of host publicationArtificial Intelligence and Applications
    Subtitle of host publicationIntelligent Agents and Reasoning
    EditorsVladan Devedžic
    PublisherACTA Press
    Pages133-138
    Number of pages6
    ISBN (Print)9780889866294
    Publication statusPublished - 2007

    Fingerprint

    Artificial intelligence
    Accidents
    Simulators
    Intelligent vehicle highway systems
    Experiments
    Display devices
    Robots

    Keywords

    • artificial intelligence
    • modelling behaviour
    • driving simulation
    • human machine interaction
    • human computer interaction
    • head up display
    • collision avoidance

    Cite this

    Charissis, V., Arafat, S., Patera, M., Christomanos, C., & Chan, W. (2007). AI for driving simulator vehicles and accident events. In V. Devedžic (Ed.), Artificial Intelligence and Applications: Intelligent Agents and Reasoning (pp. 133-138). [549-148] ACTA Press.
    Charissis, Vassilis ; Arafat, Sachi ; Patera, Marianne ; Christomanos, Christodoulos ; Chan, Warren. / AI for driving simulator vehicles and accident events. Artificial Intelligence and Applications: Intelligent Agents and Reasoning. editor / Vladan Devedžic. ACTA Press, 2007. pp. 133-138
    @inproceedings{71e0372b9bc34b3dad1af8aab7d54862,
    title = "AI for driving simulator vehicles and accident events",
    abstract = "A synthetic driving simulation environment requires a fleet of intelligent vehicles which can perform manoeuvring decisions in real-time and mingle orderly to form mixed traffic environments. The development of a driving simulator was part of a bigger project that evaluated a prototype Head-Up Display (HUD) interface. We therefore opted for a custom simulator that could effectively adapt to the needs of the given experiment. This paper presents the challenges we encountered during the implementation of realistic artificial intelligence (AI) in the traffic vehicles, which produced the analogous complexity driving events. A discussion follows regarding the design and modelling challenges of the robot drivers involved in the simulated accident scenarios. The paper discusses the outcomes of the user trials, suggests solutions to intriguing problems that derived from the experiment and reveals the phasma of our future work.",
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    Charissis, V, Arafat, S, Patera, M, Christomanos, C & Chan, W 2007, AI for driving simulator vehicles and accident events. in V Devedžic (ed.), Artificial Intelligence and Applications: Intelligent Agents and Reasoning., 549-148, ACTA Press, pp. 133-138.

    AI for driving simulator vehicles and accident events. / Charissis, Vassilis; Arafat, Sachi; Patera, Marianne; Christomanos, Christodoulos; Chan, Warren.

    Artificial Intelligence and Applications: Intelligent Agents and Reasoning. ed. / Vladan Devedžic. ACTA Press, 2007. p. 133-138 549-148.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AU - Christomanos, Christodoulos

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    AB - A synthetic driving simulation environment requires a fleet of intelligent vehicles which can perform manoeuvring decisions in real-time and mingle orderly to form mixed traffic environments. The development of a driving simulator was part of a bigger project that evaluated a prototype Head-Up Display (HUD) interface. We therefore opted for a custom simulator that could effectively adapt to the needs of the given experiment. This paper presents the challenges we encountered during the implementation of realistic artificial intelligence (AI) in the traffic vehicles, which produced the analogous complexity driving events. A discussion follows regarding the design and modelling challenges of the robot drivers involved in the simulated accident scenarios. The paper discusses the outcomes of the user trials, suggests solutions to intriguing problems that derived from the experiment and reveals the phasma of our future work.

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    KW - modelling behaviour

    KW - driving simulation

    KW - human machine interaction

    KW - human computer interaction

    KW - head up display

    KW - collision avoidance

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    BT - Artificial Intelligence and Applications

    A2 - Devedžic, Vladan

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    Charissis V, Arafat S, Patera M, Christomanos C, Chan W. AI for driving simulator vehicles and accident events. In Devedžic V, editor, Artificial Intelligence and Applications: Intelligent Agents and Reasoning. ACTA Press. 2007. p. 133-138. 549-148