Detecting and identifying drug impaired drivers based on observable signs and symptoms

David Shinar; Richard P Compton

Detecting and identifying drug impaired drivers based on observable signs and symptoms

David Shinar
, Richard P Compton

Department of Industrial Engineering and Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Driving under the influence of drugs is difficult to detect by untrained officers. The current Drug Evaluation and Classification Program (DECP) is based on research that is at least 30 years old, and therefore drug detection could benefit from the results of more recent studies.

Original language	English
Title of host publication	Proceedings International Council on Alcohol, Drugs and Traffic Safety Conference
Pages	401-402
Number of pages	2
Volume	2002
State	Published - 2002

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@inproceedings{4268ff43667945258b7f6f6735700ea9,

title = "Detecting and identifying drug impaired drivers based on observable signs and symptoms",

abstract = "Driving under the influence of drugs is difficult to detect by untrained officers. The current Drug Evaluation and Classification Program (DECP) is based on research that is at least 30 years old, and therefore drug detection could benefit from the results of more recent studies.",

author = "David Shinar and Compton, \{Richard P\}",

year = "2002",

language = "English",

volume = "2002",

pages = "401--402",

booktitle = "Proceedings International Council on Alcohol, Drugs and Traffic Safety Conference",

}

TY - GEN

T1 - Detecting and identifying drug impaired drivers based on observable signs and symptoms

AU - Shinar, David

AU - Compton, Richard P

PY - 2002

Y1 - 2002

N2 - Driving under the influence of drugs is difficult to detect by untrained officers. The current Drug Evaluation and Classification Program (DECP) is based on research that is at least 30 years old, and therefore drug detection could benefit from the results of more recent studies.

AB - Driving under the influence of drugs is difficult to detect by untrained officers. The current Drug Evaluation and Classification Program (DECP) is based on research that is at least 30 years old, and therefore drug detection could benefit from the results of more recent studies.

M3 - Conference contribution

VL - 2002

SP - 401

EP - 402

BT - Proceedings International Council on Alcohol, Drugs and Traffic Safety Conference

ER -

Detecting and identifying drug impaired drivers based on observable signs and symptoms

Abstract

UN SDGs

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