Abstract
The first exposure most people will have to fully automated vehicles will be Low-speed Automated Vehicles (LSAVs) on select corridors. LSAVs may disrupt traffic due to their slower speeds and experience increased risky overtaking by nearby drivers which could decrease safety for their occupants and surrounding road users. A field observational study compared driver behavior near an LSAV and a human-driven research vehicle across 94 passes of a 1.3-mile urban downtown route (4 straight and 4 right-turn sections). GEE analyses indicated a higher likelihood of other drivers queuing behind the LSAV when stopped, overtaking the LSAV while turning at signalized intersections, and overtaking the LSAV along straight road segments. To test whether the low speed of the LSAV was the key factor for this difference, 85 participants in a second study watched videos from the perspective of a driver following a simulated LSAV and a simulated passenger vehicle traveling at either low speeds (16 km/h) or high speeds (40 km/h). Once the simulated vehicle stopped midblock at a marked crosswalk, the participants responded whether they would, as a driver, attempt to pass the stopped vehicle. GEE analyses indicated participants were more willing to pass the vehicle if it had been portrayed as driving at a slower speed, irrespective of vehicle type. These results indicate a disruptive effect of LSAVs in mixed traffic and a need to investigate alternative communication signal designs for LSAVs, along with policy changes to mitigate these risks such as regulations on LSAV speeds and traffic separation.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 13184-13193 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Intelligent Transportation Systems |
| Volume | 25 |
| Issue number | 10 |
| DOIs | |
| State | Published - 2024 |
Bibliographical note
Publisher Copyright:© 2000-2011 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
Keywords
- Autonomous automobiles
- behavioral sciences
- human factors
- intelligent vehicles
- road safety
- smart transportation
- traffic control
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