How Drivers' Smart Advisory System Improves Driving Performance?

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Details

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.

Autorentext

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.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 120
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 197g
    • Untertitel A Simulator Imitation of Wireless Warning on Traffic Signal under Sun Glare
    • Autor Qing Li , Fengxiang Qiao
    • Titel How Drivers' Smart Advisory System Improves Driving Performance?
    • Veröffentlichung 15.07.2014
    • ISBN 3659571938
    • Format Kartonierter Einband
    • EAN 9783659571930
    • Jahr 2014
    • Größe H220mm x B150mm x T8mm
    • GTIN 09783659571930

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