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Articles

Crash and injury prevention estimates for intersection driver assistance systems in left turn across path/opposite direction crashes in the United States

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Pages S133-S138 | Received 09 Nov 2018, Accepted 19 Apr 2019, Published online: 05 Aug 2019

Figures & data

Figure 1. A diagram of the LTAP/OD crash mode. The red car is the traveling-through vehicle and the blue car is the turning vehicle.

Figure 1. A diagram of the LTAP/OD crash mode. The red car is the traveling-through vehicle and the blue car is the turning vehicle.

Figure 2. I-ADAS crash reduction effectiveness for the case where one vehicle was equipped with I-ADAS. Each point represents a unique threshold latency–system design–sightline assumption. The star-and-diamond shape indicates several latency values overlaid on top of one another. “Best” and “worst” refer to the best-case and worst-case sightline assumptions, respectively.

Figure 2. I-ADAS crash reduction effectiveness for the case where one vehicle was equipped with I-ADAS. Each point represents a unique threshold latency–system design–sightline assumption. The star-and-diamond shape indicates several latency values overlaid on top of one another. “Best” and “worst” refer to the best-case and worst-case sightline assumptions, respectively.

Figure 3. I-ADAS crash reduction effectiveness for the case where both vehicles were equipped with I-ADAS. Each point represents a unique threshold latency–system design–sightline assumption. The star-and-diamond shape indicates several latency values overlaid on top of one another. “Best” and “worst” refer to the best-case and worst-case sightline assumptions, respectively.

Figure 3. I-ADAS crash reduction effectiveness for the case where both vehicles were equipped with I-ADAS. Each point represents a unique threshold latency–system design–sightline assumption. The star-and-diamond shape indicates several latency values overlaid on top of one another. “Best” and “worst” refer to the best-case and worst-case sightline assumptions, respectively.

Figure 4. I-ADAS injured person reduction effectiveness for the case where one vehicle was equipped with I-ADAS. Each point represents a unique threshold latency–system design–sightline assumption. The star-and-diamond shape indicates several latency values overlaid on top of one another. “Best” and “worst” refer to the best-case and worst-case sightline assumptions, respectively.

Figure 4. I-ADAS injured person reduction effectiveness for the case where one vehicle was equipped with I-ADAS. Each point represents a unique threshold latency–system design–sightline assumption. The star-and-diamond shape indicates several latency values overlaid on top of one another. “Best” and “worst” refer to the best-case and worst-case sightline assumptions, respectively.

Figure 5. I-ADAS injured person reduction effectiveness for the case where both vehicles were equipped with I-ADAS. Each point represents a unique threshold latency–system design–sightline assumption. The star-and-diamond shape indicates several latency values overlaid on top of one another. “Best” and “worst” refer to the best-case and worst-case sightline assumptions, respectively.

Figure 5. I-ADAS injured person reduction effectiveness for the case where both vehicles were equipped with I-ADAS. Each point represents a unique threshold latency–system design–sightline assumption. The star-and-diamond shape indicates several latency values overlaid on top of one another. “Best” and “worst” refer to the best-case and worst-case sightline assumptions, respectively.
Supplemental material

Supplemental Material

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Data availability statement

The original data source for this study, NMVCCS, is publicly available from NHTSA. The reconstructions performed for this study are not publicly available.