Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint. (December 2017)
- Record Type:
- Journal Article
- Title:
- Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint. (December 2017)
- Main Title:
- Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint
- Authors:
- Zeng, Weiliang
Miwa, Tomio
Morikawa, Takayuki - Abstract:
- Highlights: A link-based CO2 emission model is developed by using support vector machine. A heuristic k-shortest path algorithm is proposed to find the most eco-friendly path. The trade-off between CO2 emission and travel time buffer is discussed in a large-scale network. The impact of market penetration of eco-routing users on environment and travel time saving is quantified. Abstract: This study aims to determine an eco-friendly path that results in minimum CO2 emissions while satisfying a specified budget for travel time. First, an aggregated CO2 emission model for light-duty cars is developed in a link-based level using a support vector machine. Second, a heuristic k -shortest path algorithm is proposed to solve the constrained shortest path problem. Finally, the CO2 emission model and the proposed eco-routing model are validated in a real-world network. Specifically, the benefit of the trade-off between CO2 emission reduction and the travel time budget is discussed by carrying out sensitivity analysis on a network-wide scale. A greater spare time budget may enable the eco-routing to search for the most eco-friendly path with higher probability. Compared to the original routes selected by travelers, the eco-friendly routes can save an average of 11% of CO2 emissions for the trip OD pairs with a straight distance between 6 km and 9 km when the travel time budget is set to 10% above the least travel time. The CO2 emission can also be reduced to some degree for other ODHighlights: A link-based CO2 emission model is developed by using support vector machine. A heuristic k-shortest path algorithm is proposed to find the most eco-friendly path. The trade-off between CO2 emission and travel time buffer is discussed in a large-scale network. The impact of market penetration of eco-routing users on environment and travel time saving is quantified. Abstract: This study aims to determine an eco-friendly path that results in minimum CO2 emissions while satisfying a specified budget for travel time. First, an aggregated CO2 emission model for light-duty cars is developed in a link-based level using a support vector machine. Second, a heuristic k -shortest path algorithm is proposed to solve the constrained shortest path problem. Finally, the CO2 emission model and the proposed eco-routing model are validated in a real-world network. Specifically, the benefit of the trade-off between CO2 emission reduction and the travel time budget is discussed by carrying out sensitivity analysis on a network-wide scale. A greater spare time budget may enable the eco-routing to search for the most eco-friendly path with higher probability. Compared to the original routes selected by travelers, the eco-friendly routes can save an average of 11% of CO2 emissions for the trip OD pairs with a straight distance between 6 km and 9 km when the travel time budget is set to 10% above the least travel time. The CO2 emission can also be reduced to some degree for other OD pairs by using eco-routing. Furthermore, the impact of market penetration of eco-routing users is quantified on the potential benefit for the environment and travel-time saving. … (more)
- Is Part Of:
- Transportation research. Volume 57(2017)
- Journal:
- Transportation research
- Issue:
- Volume 57(2017)
- Issue Display:
- Volume 57, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 57
- Issue:
- 2017
- Issue Sort Value:
- 2017-0057-2017-0000
- Page Start:
- 458
- Page End:
- 473
- Publication Date:
- 2017-12
- Subjects:
- Eco-routing -- CO2 emission model -- Support vector machine -- Heuristic k-shortest path algorithm -- Travel time constraint -- Vehicle navigation
Transportation -- Research -- Periodicals
Transportation -- Environmental aspects -- Periodicals
354.76 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13619209 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trd.2017.10.001 ↗
- Languages:
- English
- ISSNs:
- 1361-9209
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274630
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