GRIDS: Personalized Guideline Recommendations while Driving Through a New City-Reference-Cited by-同舟云学术

GRIDS: Personalized Guideline Recommendations while Driving Through a New City

Published:2023-07-17 Issue: Volume: Page:
ISSN:2770-6699
Container-title:ACM Transactions on Recommender Systems
language:en
Short-container-title:ACM Trans. Recomm. Syst.

Author:

Pargal Sugandh¹,Das Debasree¹,Sahoo Bikash¹,Mitra Bivas¹,Chakraborty Sandip¹

Affiliation:

1. Indian Institute of Technology Kharagpur, India

Abstract

Drive tourism has become increasingly popular in the last decade; however, driving through a new city is challenging as the road, and traffic environments vary significantly across cities. A driver habitual to driving in one city may face severe difficulty adapting to a different driving environment, leading to road fatalities. This paper developsGRIDS, anExplainable 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 throughGRIDScan help in improving driving safety.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3609337

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