Enhancing Road Safety: Predictive Modeling of Accident-Prone Zones with ADAS-Equipped Vehicle Fleet Data-Reference-Cited by-同舟云学术

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Enhancing Road Safety: Predictive Modeling of Accident-Prone Zones with ADAS-Equipped Vehicle Fleet Data

Published:2024-06-02 Issue: Volume: Page:2583-2590
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Mishra Ravi Shankar¹,Thakur Dev Singh²,Subramanian Anbumani²,Advani Mukti³,Velmurugan S.³,Jose Juby⁴,Jawahar C.V.¹,Sarvadevabhatla Ravi Kiran¹

Affiliation:

1. International Institute of Information Technology (IIIT) Hyderabad,Center For Visual Information Technology(CVIT),Telangana,India,500032

2. IIIT Hyderabad,INAI,Telangana,India,500032

3. CSIR-CRRI,New Delhi,India,110025

4. Intel,Bengaluru,Karnataka,India,560103

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588591.pdf?arnumber=10588591

Reference25 articles.

1. Sleep Apnea Related Risk of Motor Vehicle Accidents is Reduced by Continuous Positive Airway Pressure: Swedish Traffic Accident Registry Data

2. Analysis of Road Traffic Accidents in Turkey between 2013 and 2017

3. Accident Risk Prediction based on Heterogeneous Sparse Data

4. Crash Frequency Analysis

5. Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimates

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