A Mixed Load Solution for the Rural School Bus Routing Problem
This work presents a mixed load algorithm to solve the School Bus Routing Problem applied to the rural area of a Brazilian city. The authors use a complete set of real georeferenced data containing 716 students, 23 schools, and the road network. Their goal is to minimize the total traveled distance of a heterogeneous fleet. The authors compare their strategy to a single load approach in order to highlight the improvements achieved by using a mixed load strategy. When they compare a mixed load to a single load strategy, the authors observe that: i) the mixed load strategy reduces the variable cost (total traveled distance) by approximately 20%, ii) the mixed load approach reduces the fixed cost (fleet size) from 28.2% up to 37.8%, iii) the mixed load approach increases the buses' occupancy by approximately 20%.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9781467365956
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Silva, Cristiano Maciel
- Sarubbi, João F M
- Silva, Daniel Fonseca
- Porto, Marcelo F
- Nunes, Nilson T R
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Conference:
- 18th International IEEE Conference on Intelligent Transportation Systems (ITSC)
- Location: Canary Islands , Spain
- Date: 2015-9-15 to 2015-9-18
- Publication Date: 2015
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1940-1945
- Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)
Subject/Index Terms
- TRT Terms: Algorithms; Routing; Rural areas; School buses; Trip length; Vehicle occupancy
- Uncontrolled Terms: Fleet size; Georeferenced data
- Geographic Terms: Brazil
- Subject Areas: Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01602366
- Record Type: Publication
- ISBN: 9781467365956
- Files: TRIS
- Created Date: May 2 2016 3:25PM