Minimizing Cost of Highway Maintenance Considering the Impact of Vehicle Emissions using an Artificial Bee Colony Approach
Document Type
Article
Publication Date
6-1-2020
Abstract
The increasing traffic demand has reduced the efficiency of road networks and intensified the maintenance need for mobility and safety, increasing vehicle emissions, reducing air quality, and affecting climate change. To mitigate the negative impacts of work zone activities, a reliable method that can optimize spatio-temporal work zone activities is desirable. Previous studies have aimed to minimize the total cost, including maintenance, user delay, and accident costs, yet the associated environmental impact has been neglected. This study aims to optimize work zone activities using the artificial bee colony (ABC) algorithm, considering the cost of vehicle emissions in addition to the aforementioned costs for an environmentally sustainable optimization. MOtor Vehicle Emission Simulator (MOVES) is applied to calculate emission rates. The results show that the ABC algorithm is very efficient to search for the optimal solution that yields the minimum cost taking into account the well-being of the environment.
Identifier
85087692147 (Scopus)
Publication Title
Transportation Research Record
External Full Text Location
https://doi.org/10.1177/0361198120917667
e-ISSN
21694052
ISSN
03611981
First Page
60
Last Page
72
Issue
6
Volume
2674
Grant
NJDOT TO-115
Recommended Citation
Semaan, Celina; Chien, Steven; and Ting, Ching Jung, "Minimizing Cost of Highway Maintenance Considering the Impact of Vehicle Emissions using an Artificial Bee Colony Approach" (2020). Faculty Publications. 5260.
https://digitalcommons.njit.edu/fac_pubs/5260
