Abstract
We propose that vehicles driven by distracted drivers take a higher priority in multiple access for vehicle-to-everything communications (V2X). As more vehicles communicate, it is one's easy anticipation that the air interface will be crowded and thus a high magnitude of interference occurs. In response to this issue, we propose to prioritize the multiple access according to the driver's risky behavior while driving. Specifically, we build a driving simulator that aims at capturing the driver's distraction. The level of distraction will be measured in terms of (i) eye movement and (ii) motion. We build a number of different traffic scenarios including suburban highway, urban junction, etc. This research features an open source-based, thus low-cost, implementation of the driving simulator. Then, we apply the quantified driver's distraction level to the optimization of V2X multiple access.
Original language | English |
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Title of host publication | 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350329285 |
DOIs | |
State | Published - 2023 |
Event | IEEE Vehicular Technology Conference: Intelligence on the Move - Hong Kong, China Duration: Oct 10 2023 → Oct 13 2023 Conference number: 98 https://events.vtsociety.org/vtc2023-fall/ (Link to conference website) |
Publication series
Name | IEEE Vehicular Technology Conference |
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ISSN (Print) | 1550-2252 |
Conference
Conference | IEEE Vehicular Technology Conference |
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Abbreviated title | VTC |
Country/Territory | China |
City | Hong Kong |
Period | 10/10/23 → 10/13/23 |
Internet address |
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Scopus Subject Areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
Keywords
- Connected vehicles
- Distracted driving
- Driving simulator
- Multiple access
- Op-timization
- V2X