Location Strategy for Traffic Emission Remote Sensing Monitors to Capture the Violated Emissions
Author
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Air contamination becomes an urgent problem to be considered as a result of the rapid growth in traffic all over the world.
Traffic emissions differ from vehicle to vehicle depending on the vehicle type, production year, fuel octane number, and periodical maintenance of the vehicle.
The majority of drivers do not revise their harmful vehicles emissions regularly.
Therefore, effective tracking of high-emitting vehicles can be an important solution for reducing traffic air pollution.
This study proposes a location strategy for vehicle remote sensing monitors aided with ID-plate recognizer to capture any violated vehicle emissions.
The problem is formulated into a graph theory problem, and then a novel adapted metaheuristic algorithm is used to solve the problem.
The methodology, using a benchmark problem, has managed to solve the problem to the optimality.
Moreover, its robustness is measured statistically.
American Psychological Association (APA)
Owais, Mahmoud. 2019. Location Strategy for Traffic Emission Remote Sensing Monitors to Capture the Violated Emissions. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1170037
Modern Language Association (MLA)
Owais, Mahmoud. Location Strategy for Traffic Emission Remote Sensing Monitors to Capture the Violated Emissions. Journal of Advanced Transportation No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1170037
American Medical Association (AMA)
Owais, Mahmoud. Location Strategy for Traffic Emission Remote Sensing Monitors to Capture the Violated Emissions. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1170037
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170037