Paper Info
Title
Parallel implementing of road situation modeling with floating GPS data
Abstract
Most traffic flow models are based on the traffic data from inductive loops. However, this paper is to model the road situation with GPS data of floating vehicles. The relationship of the time and the passing velocity through a road segment is presented in the models which can reflect urban traffic situation. Moreover, a parallel algorithm is proposed to build the models and its task scheduling policy can make the efficiency of CPUs be about 75% in the heterogeneous computing platform. The experimental results also indicate it.
Year
DOI
Venue
2006
10.1007/11610496_82
APWeb Workshops
Keywords
Field
DocType
urban traffic situation,inductive loop,heterogeneous computing platform,traffic data,floating vehicle,gps data,road situation modeling,road segment,road situation,traffic flow model,parallel algorithm,heterogeneous computing
Data modeling,Traffic flow,Computer science,Scheduling (computing),Parallel algorithm,Floating car data,Microscopic traffic flow model,Global Positioning System,Intelligent transportation system,Distributed computing
Conference
Volume
ISSN
ISBN
3842
0302-9743
3-540-31158-0
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Zhaohui Zhang181.84
Youqun Shi2115.04
Changjun Jiang31350117.57