This paper describes the design of the tilting warning system for commercial vehicles, PARSYST (Preventive Anti-Roll SYSTem). This system aims to determine the roll-sensitivity of the vehicle (learning phase), and to combine this information with data of forthcoming road curves through GPS and a navigation database to result in an assessment of the critical tilting speed. The need for such a system is discussed, as well as the PARSYST concept. The roll-sensitivity is estimated from a minimum set of data, extracted from already available systems such as pressure monitoring and ABS systems. The on-board navigation database, usually including a minimum set of road data in order to limit the size of the database, serves to extract the present and future curve radius, as part of the digital horizon. This PARSYST system can be considered as an additional functionality of board computers, leading to a safety enhancement system at moderate costs. The first focus is for rigid payloads, but steps have been made to understand the extension of the algorithms towards moving (liquid) payload.
Predict the road to prevent roll-over, using the navigation database
2008 IEEE Intelligent Vehicles Symposium ; 944-949
2008-06-01
642941 byte
Conference paper
Electronic Resource
English
Predict the Road to Prevent Roll-Over using the navigation database - Corrected Version
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