How Intelligent Vehicle Technologies Can Improve Vulnerable Road User Safety at Signalized Intersections

Xiaodong Qian, Runhua Xiao, Miguel Jaller and Shenyang Chen

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

Abstract: Motor vehicle crashes are the leading cause of accidental deaths in the US. In 2020, 38,824 people lost their lives in car-related crashes. Bicyclists and pedestrians are particularly susceptible—7,448 of these “vulnerable road users” were killed nationwide in 2020, and 29% of all reported crash-related fatalities in California were vulnerable road users. A variety of intelligent vehicle technologies hold promise for improving bicycle and pedestrian safety. Sensors in vehicles and/or used by vulnerable road users themselves could alert travelers of potential conflicts, giving them more time to react. However, these technologies all have unique technical, operational, and financial characteristics, and they might perform differently in different environmental conditions and at different levels of deployment. Little research has been done on how these technologies might affect safety. Researchers at the University of California, Davis combined aggregate historical crash data analysis and micro transportation simulation to examine the safety impacts of four different intelligent vehicle technologies: blind spot detection, a vulnerable-road-user beacon system carried by bicyclists or pedestrians, bicycle/pedestrian-to-vehicle communication, and intersection safety. View the NCST Project Webpage

Keywords: Engineering; Social and Behavioral Sciences; Intelligent vehicles; Sight distance; Signalized intersections; Traffic safety; Traffic simulation; Traffic volume; Vulnerable road user (search for similar items in EconPapers)
Date: 2022-08-01
New Economics Papers: this item is included in nep-tre and nep-ure
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.escholarship.org/uc/item/106268rb.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsdav:qt106268rb

Access Statistics for this paper

More papers in Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().