Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles

Rajesh Kumar Jakkar; Roop Pahuja; Raj Kumar Saini; Bhagirath Sahu; Natwar

doi:doi:10.11648/j.ajtte.20170204.12

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Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles

Rajesh Kumar Jakkar, Roop Pahuja, Raj Kumar Saini, Bhagirath Sahu, Natwar

Published in American Journal of Traffic and Transportation Engineering (Volume 2, Issue 4)

Received: 25 July 2017 Accepted: 10 August 2017 Published: 1 September 2017

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Abstract

One of the major causes of road accidents, crashes, mishaps and fatalities globally all over the world is drunk driving. Though driving under intoxication is illegal, even then people restore to such hard-core habits often. In order to combat such risky situation on road, technological innovation needs to be implemented in a cost-effective, efficient and legal manner. This paper discusses design, development and live-performance test of the prototype of drink and drive situation detection and alert cum vehicle control system to minimize road mishaps and enhance public safety on road. It also analyses the response of breath –alcohol semiconductor sensor with respect to variation in distance from source which is critical part of system design. Based upon the recent smart gas sensing and integration of satellite and cellular wireless communication technologies, the proposed device quickly senses the drunken state of the driver during start-up/driving by estimating the equivalent breath alcohol concentration level corresponding to the legally permissible state’s threshold blood alcohol concentration level. On detection of such situation, on-vehicle siren/audio alarm is activated to warn the persons on road and vehicle control system is triggered to lock ignition or stop the fuel inflow to the vehicle. Additionally, ‘alert SMS’ indicating drunk driver location, tracked by onboard GPS receiver, along with vehicle number is communicated remotely to authorized (family members, traffic police) mobile user using GSM cellular network to take appropriate action thereafter. The live experiment results highlighted the successful working performance of the device in-housed at the steering wheel of the vehicle with the drunk driver.

Published in	American Journal of Traffic and Transportation Engineering (Volume 2, Issue 4)
DOI	10.11648/j.ajtte.20170204.12
Page(s)	45-58
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Embedded System, Drunk-Driver detection, Location Tracking, Semiconductor Alcohol Gas Sensor, Short Message Communication

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APA Style

Rajesh Kumar Jakkar, Roop Pahuja, Raj Kumar Saini, Bhagirath Sahu, Natwar. (2017). Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. American Journal of Traffic and Transportation Engineering, 2(4), 45-58. https://doi.org/10.11648/j.ajtte.20170204.12

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ACS Style

Rajesh Kumar Jakkar; Roop Pahuja; Raj Kumar Saini; Bhagirath Sahu; Natwar. Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. Am. J. Traffic Transp. Eng. 2017, 2(4), 45-58. doi: 10.11648/j.ajtte.20170204.12

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AMA Style

Rajesh Kumar Jakkar, Roop Pahuja, Raj Kumar Saini, Bhagirath Sahu, Natwar. Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. Am J Traffic Transp Eng. 2017;2(4):45-58. doi: 10.11648/j.ajtte.20170204.12

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@article{10.11648/j.ajtte.20170204.12,
  author = {Rajesh Kumar Jakkar and Roop Pahuja and Raj Kumar Saini and Bhagirath Sahu and Natwar},
  title = {Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {2},
  number = {4},
  pages = {45-58},
  doi = {10.11648/j.ajtte.20170204.12},
  url = {https://doi.org/10.11648/j.ajtte.20170204.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20170204.12},
  abstract = {One of the major causes of road accidents, crashes, mishaps and fatalities globally all over the world is drunk driving. Though driving under intoxication is illegal, even then people restore to such hard-core habits often. In order to combat such risky situation on road, technological innovation needs to be implemented in a cost-effective, efficient and legal manner. This paper discusses design, development and live-performance test of the prototype of drink and drive situation detection and alert cum vehicle control system to minimize road mishaps and enhance public safety on road. It also analyses the response of breath –alcohol semiconductor sensor with respect to variation in distance from source which is critical part of system design. Based upon the recent smart gas sensing and integration of satellite and cellular wireless communication technologies, the proposed device quickly senses the drunken state of the driver during start-up/driving by estimating the equivalent breath alcohol concentration level corresponding to the legally permissible state’s threshold blood alcohol concentration level. On detection of such situation, on-vehicle siren/audio alarm is activated to warn the persons on road and vehicle control system is triggered to lock ignition or stop the fuel inflow to the vehicle. Additionally, ‘alert SMS’ indicating drunk driver location, tracked by onboard GPS receiver, along with vehicle number is communicated remotely to authorized (family members, traffic police) mobile user using GSM cellular network to take appropriate action thereafter. The live experiment results highlighted the successful working performance of the device in-housed at the steering wheel of the vehicle with the drunk driver.},
 year = {2017}
}

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TY  - JOUR
T1  - Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles
AU  - Rajesh Kumar Jakkar
AU  - Roop Pahuja
AU  - Raj Kumar Saini
AU  - Bhagirath Sahu
AU  - Natwar
Y1  - 2017/09/01
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtte.20170204.12
DO  - 10.11648/j.ajtte.20170204.12
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 45
EP  - 58
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20170204.12
AB  - One of the major causes of road accidents, crashes, mishaps and fatalities globally all over the world is drunk driving. Though driving under intoxication is illegal, even then people restore to such hard-core habits often. In order to combat such risky situation on road, technological innovation needs to be implemented in a cost-effective, efficient and legal manner. This paper discusses design, development and live-performance test of the prototype of drink and drive situation detection and alert cum vehicle control system to minimize road mishaps and enhance public safety on road. It also analyses the response of breath –alcohol semiconductor sensor with respect to variation in distance from source which is critical part of system design. Based upon the recent smart gas sensing and integration of satellite and cellular wireless communication technologies, the proposed device quickly senses the drunken state of the driver during start-up/driving by estimating the equivalent breath alcohol concentration level corresponding to the legally permissible state’s threshold blood alcohol concentration level. On detection of such situation, on-vehicle siren/audio alarm is activated to warn the persons on road and vehicle control system is triggered to lock ignition or stop the fuel inflow to the vehicle. Additionally, ‘alert SMS’ indicating drunk driver location, tracked by onboard GPS receiver, along with vehicle number is communicated remotely to authorized (family members, traffic police) mobile user using GSM cellular network to take appropriate action thereafter. The live experiment results highlighted the successful working performance of the device in-housed at the steering wheel of the vehicle with the drunk driver.
VL  - 2
IS  - 4
ER  -

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Author Information

Rajesh Kumar Jakkar

Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India
Roop Pahuja

Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India
Raj Kumar Saini

Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India
Bhagirath Sahu

Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India
Natwar

Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology - Jalandhar, Jalandhar, Punjab, India

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APA Style

Rajesh Kumar Jakkar, Roop Pahuja, Raj Kumar Saini, Bhagirath Sahu, Natwar. (2017). Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. American Journal of Traffic and Transportation Engineering, 2(4), 45-58. https://doi.org/10.11648/j.ajtte.20170204.12

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ACS Style

Rajesh Kumar Jakkar; Roop Pahuja; Raj Kumar Saini; Bhagirath Sahu; Natwar. Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. Am. J. Traffic Transp. Eng. 2017, 2(4), 45-58. doi: 10.11648/j.ajtte.20170204.12

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AMA Style

Rajesh Kumar Jakkar, Roop Pahuja, Raj Kumar Saini, Bhagirath Sahu, Natwar. Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles. Am J Traffic Transp Eng. 2017;2(4):45-58. doi: 10.11648/j.ajtte.20170204.12

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@article{10.11648/j.ajtte.20170204.12,
  author = {Rajesh Kumar Jakkar and Roop Pahuja and Raj Kumar Saini and Bhagirath Sahu and Natwar},
  title = {Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {2},
  number = {4},
  pages = {45-58},
  doi = {10.11648/j.ajtte.20170204.12},
  url = {https://doi.org/10.11648/j.ajtte.20170204.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20170204.12},
  abstract = {One of the major causes of road accidents, crashes, mishaps and fatalities globally all over the world is drunk driving. Though driving under intoxication is illegal, even then people restore to such hard-core habits often. In order to combat such risky situation on road, technological innovation needs to be implemented in a cost-effective, efficient and legal manner. This paper discusses design, development and live-performance test of the prototype of drink and drive situation detection and alert cum vehicle control system to minimize road mishaps and enhance public safety on road. It also analyses the response of breath –alcohol semiconductor sensor with respect to variation in distance from source which is critical part of system design. Based upon the recent smart gas sensing and integration of satellite and cellular wireless communication technologies, the proposed device quickly senses the drunken state of the driver during start-up/driving by estimating the equivalent breath alcohol concentration level corresponding to the legally permissible state’s threshold blood alcohol concentration level. On detection of such situation, on-vehicle siren/audio alarm is activated to warn the persons on road and vehicle control system is triggered to lock ignition or stop the fuel inflow to the vehicle. Additionally, ‘alert SMS’ indicating drunk driver location, tracked by onboard GPS receiver, along with vehicle number is communicated remotely to authorized (family members, traffic police) mobile user using GSM cellular network to take appropriate action thereafter. The live experiment results highlighted the successful working performance of the device in-housed at the steering wheel of the vehicle with the drunk driver.},
 year = {2017}
}

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TY  - JOUR
T1  - Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles
AU  - Rajesh Kumar Jakkar
AU  - Roop Pahuja
AU  - Raj Kumar Saini
AU  - Bhagirath Sahu
AU  - Natwar
Y1  - 2017/09/01
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtte.20170204.12
DO  - 10.11648/j.ajtte.20170204.12
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 45
EP  - 58
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20170204.12
AB  - One of the major causes of road accidents, crashes, mishaps and fatalities globally all over the world is drunk driving. Though driving under intoxication is illegal, even then people restore to such hard-core habits often. In order to combat such risky situation on road, technological innovation needs to be implemented in a cost-effective, efficient and legal manner. This paper discusses design, development and live-performance test of the prototype of drink and drive situation detection and alert cum vehicle control system to minimize road mishaps and enhance public safety on road. It also analyses the response of breath –alcohol semiconductor sensor with respect to variation in distance from source which is critical part of system design. Based upon the recent smart gas sensing and integration of satellite and cellular wireless communication technologies, the proposed device quickly senses the drunken state of the driver during start-up/driving by estimating the equivalent breath alcohol concentration level corresponding to the legally permissible state’s threshold blood alcohol concentration level. On detection of such situation, on-vehicle siren/audio alarm is activated to warn the persons on road and vehicle control system is triggered to lock ignition or stop the fuel inflow to the vehicle. Additionally, ‘alert SMS’ indicating drunk driver location, tracked by onboard GPS receiver, along with vehicle number is communicated remotely to authorized (family members, traffic police) mobile user using GSM cellular network to take appropriate action thereafter. The live experiment results highlighted the successful working performance of the device in-housed at the steering wheel of the vehicle with the drunk driver.
VL  - 2
IS  - 4
ER  -

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