2014Transport Research Arena (TRA) 5th Conference: Transport Solutions from Research to DeploymentEuropean CommissionConference of European Directors of Roads (CEDR)European Road Transport Research Advisory Council (ERTRAC)WATERBORNEᵀᴾEuropean Rail Research Advisory Council (ERRAC)Institut Francais des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)Ministère de l'Écologie, du Développement Durable et de l'ÉnergieRequires access

An integrated systems of driving assistance tools for driving assistance application in extraurban roads

Gennaro Nicola Bifulco, Francesco Galante, Luigi Pariota, Maria Russo Spena, Anita Fiorentino, Stefano Scala, Ferruccio Vico

Open publisher page 0 citations

Abstract

Advanced Driving Assistance Systems (ADAS) have been progressively introduced by car-makers with increasingly ambitious road-safety goals. ADAS range from ISA (Intelligent Speed Adaptation) to ACC (Adaptive Cruise Control), from CWS (Collision Warning Systems) to AEB (Autonomous Emergency Braking). In this paper it is proposed one possible integration of these systems, where the transition from one to the other is actuated by surrogate measures of safety (headway and time-to-collision). The proposed integrated systems is aimed to be perceived the driver as human-like and consistent with his/her own behaviour, and thus instinctively understandable. This enables the driver to be always in-the-loop in the driving control process. The integrated systems has been simulated. Simulations have been supported by real-world driving behaviours, observed within the Italian research project DRIVE IN2 (DRIVEr Monitoring: Technologies, Methodologies, and IN-vehicle INnovative systems for a safe and eco-compatible driving).

About this research paper

What this paper is about

Advanced Driving Assistance Systems (ADAS) have been progressively introduced by car-makers with increasingly ambitious road-safety goals. ADAS range from ISA (Intelligent Speed Adaptation) to ACC (Adaptive Cruise Control), from CWS (Collision Warning Systems) to AEB (Autonomous Emergency Braking). In this paper it is proposed one possible integration of these systems, where the transition from one to the other is actuated by surrogate measures of safety (headway and time-to-collision). The proposed integrated systems is aimed to be perceived the driver as human-like and consistent with his/her own behaviour, and thus instinctively understandable. This enables the driver to be always in-the-loop in the driving control process. The integrated systems has been simulated. Simulations have been supported by real-world driving behaviours, observed within the Italian research project DRIVE IN2 (DRIVEr Monitoring: Technologies, Methodologies, and IN-vehicle INnovative systems for a safe and eco-compatible driving).

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Advanced Driving Assistance Systems (ADAS) have been progressively introduced by car-makers with increasingly ambitious road-safety goals. ADAS range from ISA (Intelligent Speed Adaptation) to ACC (Adaptive Cruise Control), from CWS (Collision Warning Systems) to AEB (Autonomous Emergency Braking). In this paper it is proposed one possible integration of these systems, where the transition from one to the other is actuated by surrogate measures of safety (headway and time-to-collision). The proposed integrated systems is aimed to be perceived the driver as human-like and consistent with his/her own behaviour, and thus instinctively understandable. This enables the driver to be always in-the-loop in the driving control process. The integrated systems has been simulated. Simulations have been supported by real-world driving behaviours, observed within the Italian research project DRIVE IN2 (DRIVEr Monitoring: Technologies, Methodologies, and IN-vehicle INnovative systems for a safe and eco-compatible driving).

Key concepts: Cruise control, Advanced driver assistance systems, Lane departure warning system, Headway, Process (computing), Engineering, Intelligent transportation system, Automotive engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
An integrated systems of driving assistance tools for driving assistance application in extraurban roads — Research Paper | ScholarLens