LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

An efficient algorithm for solving the median problem on real road networks

Photo from wikipedia

ABSTRACT The objective of the median problem is to optimize the location of a facility so that the sum of demand-weighted distances from a set of demand points is minimized.… Click to show full abstract

ABSTRACT The objective of the median problem is to optimize the location of a facility so that the sum of demand-weighted distances from a set of demand points is minimized. In this article, an algorithm for solving the median problem on real road networks is proposed. The proposed algorithm, referred to as multi-threaded Dijkstra's (MTD), works with very large road networks, does not require computationally intensive pre-processing of the network data and offers reasonable runtime. The MTD algorithm is used to evaluate several facility location scenarios on various road networks with 2000–50,000 nodes. Solutions are compared against an exhaustive search. The results show that the MTD algorithm is capable of solving median problems on very large networks and its runtime is influenced by factors such as the number of demand points, network size and size of the area in which the demand points are distributed.

Keywords: road; median problem; algorithm solving; solving median; road networks

Journal Title: Engineering Optimization
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.