TY - GEN
T1 - A GPS-based slowdown warning system for automotive safety
AU - Chakravarthy, Animesh
AU - Song, Kyung Yeol
AU - Feron, Eric
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-18
PY - 2004/9/27
Y1 - 2004/9/27
N2 - We propose the concept of a slow-down warning system in automobiles. If a driver on a highway decelerates suddenly or progresses abnormally slowly (thereby posing a hazard to the vehicles behind him), then, with such a system, all the cars behind him are provided information of this, near simultaneously. This advance information gives the drivers additional time to react in preparation of the impending slow-down. Simulations demonstrate that this additional time is sufficient to alleviate collisions. Furthermore, it is seen that even if only a fraction of the cars in a platoon are equipped with such a system, this can still be sufficient to alleviate crashes even in the unequipped cars. A prototype of such a system has been developed and installed in a few cars, and road tests have been conducted to verify the hardware performance.
AB - We propose the concept of a slow-down warning system in automobiles. If a driver on a highway decelerates suddenly or progresses abnormally slowly (thereby posing a hazard to the vehicles behind him), then, with such a system, all the cars behind him are provided information of this, near simultaneously. This advance information gives the drivers additional time to react in preparation of the impending slow-down. Simulations demonstrate that this additional time is sufficient to alleviate collisions. Furthermore, it is seen that even if only a fraction of the cars in a platoon are equipped with such a system, this can still be sufficient to alleviate crashes even in the unequipped cars. A prototype of such a system has been developed and installed in a few cars, and road tests have been conducted to verify the hardware performance.
UR - http://www.scopus.com/inward/record.url?scp=4544364177&partnerID=8YFLogxK
M3 - Conference contribution
SP - 489
EP - 494
BT - IEEE Intelligent Vehicles Symposium, Proceedings
ER -