An In-Vehicle Erratic Driving Detection and Warning System Using GPS Technology

Md Touhid Hossain, Shahnewaz Chowdhury, M. I. Hayee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Some of the critical features of Advanced Driver Assistance Systems (ADAS), including unintentional lane departure warning, and erratic driving warning have significant potential to reduce crashes. Generally, these systems use either various image processing techniques or Global Positioning System (GPS) technology with lane-level resolution maps. However, these are expensive to implement as well as have some limitations, such as harsh weather or irregular lane markings can drastically reduce their performance. Previously, we proposed a lane departure detection system where we generated road reference heading (RRH) form a vehicle’s past trajectories acquired by GPS to detect unintentional lane departure with high accuracy. Now, we propose a technique to detect erratic driving behavior of a vehicle so that the system can issue timely warnings to alert the driver. We have considered two most common erratic driving scenarios; inter lane change and intra lane change erratic driving. We have developed an algorithm to detect both of these erratic behaviors and implemented the algorithm in a prototype system. We have extensively tested the algorithm in the field for a variety of erratic driving scenarios in real-time. Our field test results show that each time an erratic driving scenario occurs; our algorithm correctly detects it and issues a warning to alert the driver.

Original languageEnglish (US)
Title of host publicationProceedings of the Future Technologies Conference, FTC 2021, Volume 1
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783030899059
StatePublished - 2022
Event6th Future Technologies Conference, FTC 2021 - Virtual, Online
Duration: Oct 28 2021Oct 29 2021

Publication series

NameLecture Notes in Networks and Systems
Volume358 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference6th Future Technologies Conference, FTC 2021
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Erratic driving warning system
  • Inter lane change erratic driving
  • Intra lane change erratic driving
  • Road reference heading


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