Title :
Offline Road Network Partitioning in Distributed Transportation Simulation
Author :
Yan, Xu ; Tan, Gary
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
Distributed transportation simulation is an important technology for evaluating various Intelligent Transportation Systems (ITS) applications, before they are implemented in the real-world traffic system. Offline road network partitioning is the first step towards distributed transportation simulation. However, as the most popular offline road network partitioning solution, METIS cannot naturally formalize data distribution in ITS applications, and thus cannot guarantee to minimize data exchanges between partitions. In this paper, we propose to formalize offline road network partitioning as a hyper graph partitioning, which can naturally deal with data distribution in ITS applications. Then, we propose to solve the hyper graph partitioning using hMETIS, a graph partitioning algorithm borrowed from VLSI applications. Preliminary experiments show that even in the case where there is no ITS application, hyper graph-based offline road network partitioning can reduce data exchanges between partitions by around 10% on average. Currently, we are evaluating hyper graph-based offline road network partitioning on ITS applications.
Keywords :
automated highways; graph theory; road traffic control; ITS applications; VLSI applications; data distribution; data exchange minimization; distributed transportation simulation; hMETIS algorithm; hypergraph-based offline road network partitioning; intelligent transportation system applications; Computational modeling; Partitioning algorithms; Roads; Traffic control; Vehicles; Very large scale integration;
Conference_Titel :
Principles of Advanced and Distributed Simulation (PADS), 2012 ACM/IEEE/SCS 26th Workshop on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4673-1797-9
DOI :
10.1109/PADS.2012.28