GIS technology as an environment for testing an advanced mathematical model for optimization of road maintenance

T. Kramberger (), J. Žerovnik, G. Štrubelj and K. Prah

Central European Journal of Operations Research, 2013, vol. 21, issue 1, 59-73

Abstract: In the paper, we consider a Chinese postman problem and show how integration of an advanced mathematical model with GIS technology can be beneficial providing a powerful tool for developing, testing and applying sophisticated heuristics for arc routing problems. We give details of an implementation of several recently developed heuristics for the Chinese postman problem with priority nodes that are integrated with GIS software. In the end, we show how a GIS visualization can be helpful in finding and presenting the results. Copyright Springer-Verlag 2013

Keywords: GIS; Arc routing problems; Chinese postman problem (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10100-012-0265-4 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:cejnor:v:21:y:2013:i:1:p:59-73

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10100

DOI: 10.1007/s10100-012-0265-4

Access Statistics for this article

Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger

More articles in Central European Journal of Operations Research from Springer, Slovak Society for Operations Research, Hungarian Operational Research Society, Czech Society for Operations Research, Österr. Gesellschaft für Operations Research (ÖGOR), Slovenian Society Informatika - Section for Operational Research, Croatian Operational Research Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().