Literature DB >> 34969049

Permitted speed decision of single-unit trucks with emergency braking maneuver on horizontal curves under rainy weather.

Menghua Yan1, Jinliang Xu1, Shuo Han2, Tian Xin1, Ouyu Wang1, Zemin Yi1, Zhaoxin Liu3.   

Abstract

Under adverse weather conditions, visibility and the available pavement friction are reduced. The improper selection of speed on curved road sections leads to an unreasonable distribution of longitudinal and lateral friction, which is likely to cause rear-end collisions and lateral instability accidents. This study considers the combined braking and turning maneuvers to obtain the permitted vehicle speed under rainy conditions. First, a braking distance computation model was established by simplifying the relationship curve between brake pedal force, vehicle braking deceleration, and braking time. Different from the visibility commonly used in the meteorological field, this paper defines "driver's sight distance based on real road scenarios" as a threshold to measure the longitudinal safety of the vehicle. Furthermore, the lateral friction and rollover margin is defined to characterize the vehicle's lateral stability. The corresponding relationship between rainfall intensity-water film thickness-road friction is established to better predict the safe speed based on the information issued by the weather station. It should be noted that since the road friction factor of the wet pavement not only determined the safe vehicle speed but also be determined by the vehicle speed, so we adopt Ferrari's method to solve the quartic equation about permitted vehicle speed. Finally, the braking and turning maneuvers are considered comprehensively based on the principle of friction ellipse. The results of the TruckSim simulation show that for a single-unit truck, running at the computed permitted speed, both lateral and longitudinal stability meet the requirements. The proposed permitted vehicle speed model on horizontal curves can provide driving guidance for drivers on curves under rainy weather or as a decision-making basis for road managers.

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Year:  2021        PMID: 34969049      PMCID: PMC8717978          DOI: 10.1371/journal.pone.0261975

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  6 in total

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Journal:  Accid Anal Prev       Date:  2004-07

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Authors:  Alexandra S Mueller; Lana M Trick
Journal:  Accid Anal Prev       Date:  2012-03-28

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Journal:  Accid Anal Prev       Date:  1988-06

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Authors:  G Johansson; K Rumar
Journal:  Hum Factors       Date:  1971-02       Impact factor: 2.888

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Authors:  Johnell O Brooks; Matthew C Crisler; Nathan Klein; Richard Goodenough; Rebekkah W Beeco; Chris Guirl; Peg J Tyler; Anna Hilpert; Yarbough Miller; Jason Grygier; Brooke Burroughs; Ashley Martin; Rob Ray; Cody Palmer; Christine Beck
Journal:  Accid Anal Prev       Date:  2010-12-15

6.  What humanlike errors do autonomous vehicles need to avoid to maximize safety?

Authors:  Alexandra S Mueller; Jessica B Cicchino; David S Zuby
Journal:  J Safety Res       Date:  2020-11-15
  6 in total

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