Abstract
Smart Power Team is currently working on the design of an urban electric vehicle designed to compete in the Shell Eco-marathon. One important aspect of this type of vehicle characteristics is it safety. The project of advanced driver assistance systems has included some proposals of such systems and the concept of their execution. The first concept, BLIS (Blind Spot Information System), is to build a system of informing a driver about vehicles appearing in the blind spot. The system constitutes a second concept, CDIS (Collision Detection and Information System), and it is designed to detect a vehicle collision and inform the team. Further systems are: DPMS (Dew Point Measurement System) - a system which does not allow a situation, where the windows are fogged, OHRS (Overtaking Horn Reminder System) - a system which checks overtaking and MSS (main supervision system) - a supervisory system. These concepts are based on the assumption of the use of laser sensors, photoelectric, humidity and temperature, and other commercially available systems. The article presents a detailed description of driver assistance systems and virtual prototyping methodology for these systems, as well as the numerical results of the verification of one of the systems.
| Original language | English |
|---|---|
| Pages (from-to) | 137-148 |
| Number of pages | 12 |
| Journal | Transport Problems |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Driver assistance systems
- Driver safety
- Safety support systems
ASJC Scopus subject areas
- Automotive Engineering
- Transportation
- Mechanical Engineering
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