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Conference Paper
Development of an Advisory Safety Speed Model using Real-time Vehicle Data on Smart Highways
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- Authors
- Jeong Ah Jang, Hyun Suk Kim, Hae Sook Jeon
- Issue Date
- 2010-10
- Citation
- ITS World Congress 2010, pp.1-11
- Language
- English
- Type
- Conference Paper
- Abstract
- The primary purpose of this paper is to develop an algorithm for determining advisory safety speeds for drivers on SMART Highways. Such advisory safety speeds are based on real-time vehicle data collected from road surface environment sensors and in-vehicle data.The in-vehicle data includes vehicle speed, RPM (revolutions per minute), fuel consumption rate, and so on, collected from OBDII -ECU (Engine Control Unit) equipment. Our advisory safety speed model consists of two parts: The first part is a macro car-following model that is used for considering highway traffic parameters, while the other is a safe stopping distance model for monitoring road-surface data. We used a VISSIM simulation to evaluate the new algorithm. This research can be used in safer applications for highway driving. The suggested advisory safety speed model may directly contribute to providing greater overall safety for vehicle users on SMART Highways.
- KSP Keywords
- Data collected, Distance model, Engine Control Unit, Environment sensors, Fuel consumption rate, Highway traffic, In-vehicle data, Real-time, Road Surface, Stopping distance, Surface data