کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7499327 | 1485867 | 2017 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم محیط زیست
علوم زیست محیطی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint](/preview/png/7499327.png)
چکیده انگلیسی
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 6â¯km and 9â¯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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part D: Transport and Environment - Volume 57, December 2017, Pages 458-473
Journal: Transportation Research Part D: Transport and Environment - Volume 57, December 2017, Pages 458-473
نویسندگان
Weiliang Zeng, Tomio Miwa, Takayuki Morikawa,