Demo: Connected Unsafe Driving Detection and Management

Connected vehicles upload data to a remote server, enabling valuable insight for various applications. One key use case is to identify driving actions that cause unsafe driving (a.k.a., provoking action) and alert nearby connected vehicles before an incident occurs. This paper presents a Proof of Concept (PoC) field trial for such a connected unsafe driving detection and management service. Aggressive driving behavior is predicted by analyzing provocative actions, and nearby innocent drivers are alerted in advance. Field trials with multiple test vehicles demonstrate the feasibility of such a service, showing that it can help mitigate collision risks.

Authors

Institutions

Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/vnc64509.2025.11054204
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demo: Connected Unsafe Driving Detection and Management

E. Akin Sisbot, Hui Zhao, Seyhan Uçar, Kentaro Oguchi
Autonomous Vehicle Technology and Safety
article

Demo: Connected Unsafe Driving Detection and Management

E. Akin Sisbot, Hui Zhao, Seyhan Uçar, Kentaro Oguchi
article en

Abstract

Connected vehicles upload data to a remote server, enabling valuable insight for various applications. One key use case is to identify driving actions that cause unsafe driving (a.k.a., provoking action) and alert nearby connected vehicles before an incident occurs. This paper presents a Proof of Concept (PoC) field trial for such a connected unsafe driving detection and management service. Aggressive driving behavior is predicted by analyzing provocative actions, and nearby innocent drivers are alerted in advance. Field trials with multiple test vehicles demonstrate the feasibility of such a service, showing that it can help mitigate collision risks.

Toyota Motor North America (United States) (US)
Openalex Percentile: Top 84%
Autonomous Vehicle Technology and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.