Cited By
View all- Zhang YChen XXu DSchnabel T(2024)Introduction to the Special Issue on Causal Inference for Recommender SystemsACM Transactions on Recommender Systems10.1145/36614652:2(1-4)Online publication date: 25-Jul-2024
GRIDS: Personalized Guideline Recommendations while Driving Through a New City
Authors: 
Sugandh Pargal, Debasree Das, Bikash Sahoo, Bivas Mitra, Sandip ChakrabortyAuthors Info & Claims
Article No.: 16, Pages 1 - 28
Abstract
Drive tourism has become increasingly popular in the past decade; however, driving through a new city is challenging because the road and traffic environments vary significantly across cities. A driver used to driving in one city may face severe difficulty in adapting to a different driving environment, leading to road fatalities. This article develops GRIDS, an explainable model for guidelines recommendation for inter-domain driving safety, which learns the driving rules behind the changing environment and recommends the necessary personalized guidelines to a driver while driving through a new city. We develop an explainable domain adaptation model to provide customized recommendations in terms of driving guidelines, broadly categorized into four major feature categories of a driving environment. A thorough evaluation over the CARLA driving simulator shows that the recommendations generated through GRIDS can help improve driving safety.
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Index Terms
- GRIDS: Personalized Guideline Recommendations while Driving Through a New City
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June 2024
180 pages
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Publication History
Published: 14 May 2024
Online AM: 17 July 2023
Accepted: 07 July 2023
Revised: 21 May 2023
Received: 16 December 2022
Published in TORS Volume 2, Issue 2
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View all- Zhang YChen XXu DSchnabel T(2024)Introduction to the Special Issue on Causal Inference for Recommender SystemsACM Transactions on Recommender Systems10.1145/36614652:2(1-4)Online publication date: 25-Jul-2024
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