Abstract

Considering motorcyclists, pedestrians and bicyclists as vulnerable road users (VRUs), more than 75 percent of the victims of fatal crashes involving large trucks in Taiwan are VRUs. Most crashes occurred at or were due to the blind spots of large trucks because of the size and traveling locations of the VRUs. This study applies typology and statistical methods to estimate the potential safety benefit of blind spot detection (BSD) systems for large trucks on VRUs. The pre-crash scenarios associated with the blind spots of large trucks were derived by counting the maneuvers of large trucks and VRUs, prior to crashes, the truck drivers’ improper behaviors (cause of crashes), and the crash types. The number of crashes and fatalities were counted for the pre-crash scenario relevant to the BSD systems. A value of 0.8 of human machine interface factor (HMIF) based on a previous study was applied to estimate the potential safety benefits of the BSD system. The results show that the implementation of BSD systems on all large trucks could help avoid about 24, 10, and 11 percent of large truck-involved crashes with pedestrians, bicycles, and motorcycles, respectively. The BSD systems could also save 5 pedestrians, 3 bicyclists, and 15 motorcyclists per year from crashes involving large trucks.

Highlights

  • Advanced vehicle safety systems (AVSs) are designed to help avoid vehicle crashes or reduce the severity of crashes by providing warning signals to drivers or automatic actions for vehicles when vehicles are facing potential collision circumstances

  • Crashes with only one large truck crashing with vulnerable road users (VRUs) were used for the analysis

  • The benefits of the AVSs based on the data from other countries are not applicable during the process of the standardization of AVSs

Read more

Summary

Introduction

Advanced vehicle safety systems (AVSs) are designed to help avoid vehicle crashes or reduce the severity of crashes by providing warning signals to drivers or automatic actions for vehicles when vehicles are facing potential collision circumstances. As innovative wireless and image detection technologies are developed, various types of AVSs are embedded into new cars. Several countries have been emphasizing the standardization of AVSs on new vehicles. Several researches have been conducted to estimate the potential safety benefit of AVSs using various methodologies. Blower et al.[3] reviewed the current state of knowledge regarding the effectiveness of several advanced collision-avoidance technologies (ACATs) and presented an assessment of the effect of each technology on traffic safety for light-duty vehicles. The systems reviewed were estimated to be substantially effective in reducing their target crash types

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call