2,514
Views
37
CrossRef citations to date
0
Altmetric
Original Articles

Injury mitigation estimates for an intersection driver assistance system in straight crossing path crashes in the United States

, &
Pages S9-S17 | Received 15 Dec 2016, Accepted 22 Feb 2017, Published online: 01 May 2017

Figures & data

Figure 1. Overview of the approach for modeling I-ADAS in the current study.

Figure 1. Overview of the approach for modeling I-ADAS in the current study.

Figure 2. Proportion of crashes within the simulation case set that (a) were avoided, (b) had modified impact conditions, or (c) had unchanged impact conditions. All 30 variations of I-ADAS considered in this study are shown.

Figure 2. Proportion of crashes within the simulation case set that (a) were avoided, (b) had modified impact conditions, or (c) had unchanged impact conditions. All 30 variations of I-ADAS considered in this study are shown.

Figure 3. Proportion of seriously injured drivers potentially preventable if an I-ADAS had been equipped on one of the vehicles. The contributions of completely avoided crashes and crashes with modified impact conditions are shown.

Figure 3. Proportion of seriously injured drivers potentially preventable if an I-ADAS had been equipped on one of the vehicles. The contributions of completely avoided crashes and crashes with modified impact conditions are shown.

Figure 4. Proportion of crashes potentially preventable according to whether one of the vehicles stopped or slowed prior to entering the intersection. Results are presented only for a system without computational latency time.

Figure 4. Proportion of crashes potentially preventable according to whether one of the vehicles stopped or slowed prior to entering the intersection. Results are presented only for a system without computational latency time.
Supplemental material

gcpi_a_1300257_sm3004.docx

Download MS Word (261.9 KB)