How Drivers’ Smart Advisory System Improves Driving Performance?: A Simulator Imitation of Wireless Warning on Traffic Signal under Sun Glare - Tapa blanda

Li, Qing; Qiao, Fengxiang

 
9783659571930: How Drivers’ Smart Advisory System Improves Driving Performance?: A Simulator Imitation of Wireless Warning on Traffic Signal under Sun Glare
Tapa blanda
ISBN 10: 3659571938 ISBN 13: 9783659571930
Editorial: LAP LAMBERT Academic Publishing, 2014

Sinopsis

As an innovative advancement of Intelligent Transportation System, the Drivers’ Smart Advisory System (DSAS) provides wireless information of traffic control as a supplement for conventional signs and signals, which are somehow blocked by obstacles (e.g., trees and trucks) or nature disturbances (e.g., fogs and sun glare). This book specifically evaluates driving performance of the DSAS using sun glare as an example. The system implication was investigated through a driving simulator test. Statistical analyses were applied to examine the negative impacts of sun glare, evaluate the compensation of the DSAS to sun glare, and assess the implication of the DSAS when there is a sun glare. Four performance indexes were measured including mean approach speed, half kinetic energy speed, brake response time, and brake response distance. Impacts of social-demographic factors (gender, age, education background, and driving experience) were also scanned. Analytical results show that the DSAS can basically improve driving performance to normal visual situation particularly for brake response time and distance, and mitigate sun glare effects especially for left-turn and through movement.

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Reseña del editor

As an innovative advancement of Intelligent Transportation System, the Drivers' Smart Advisory System (DSAS) provides wireless information of traffic control as a supplement for conventional signs and signals, which are somehow blocked by obstacles (e.g., trees and trucks) or nature disturbances (e.g., fogs and sun glare). This book specifically evaluates driving performance of the DSAS using sun glare as an example. The system implication was investigated through a driving simulator test. Statistical analyses were applied to examine the negative impacts of sun glare, evaluate the compensation of the DSAS to sun glare, and assess the implication of the DSAS when there is a sun glare. Four performance indexes were measured including mean approach speed, half kinetic energy speed, brake response time, and brake response distance. Impacts of social-demographic factors (gender, age, education background, and driving experience) were also scanned. Analytical results show that the DSAS can basically improve driving performance to normal visual situation particularly for brake response time and distance, and mitigate sun glare effects especially for left-turn and through movement.

Biografía del autor

Qing Li obtained M.S. in Transportation Planning and Management at Texas Southern University, USA, and M.S. in Urban Environmental Management at Wageningen University, The Netherlands. Her expertise includes Intelligent Transportation System, traffic signal control, driving behavior studies, artificial intelligence, and wastewater treatment.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3659571938
ISBN 13 
9783659571930
Encuadernación
Tapa blanda
Número de páginas
120
Contacto del fabricante
no disponible
Persona responsable
no disponible