Paper Info
Title
Visual Integration of Multiple Traffic Information for Online Map Design
Abstract
Online maps play an important role in providing traffic information services for users. The complexity of urban road network and the increase of traffic information have encouraged diversified demands for traffic maps, and provoked great conflict between growing visualization requirements of complex information and the limited map display space. Based on a comparison of road classification and attribute integration of typical online map platforms in different scales, this study provided an optimized design at the aim of exploring better visual integration methods of multiple traffic information for online maps. A user test was conducted, which proved the validity of the integrating design methods in showing that the design strategy of this study can represent more traffic information in different dimensions in a user-accepted manner. Both the design scheme and other results can provide reference for the elements configuration and visual integration of future online map design.
Year
DOI
Venue
2018
10.1109/GEOINFORMATICS.2018.8557080
2018 26th International Conference on Geoinformatics
Keywords
Field
DocType
online map,multiple traffic information,information integration,visual design
Information system,Data mining,Information integration,Design strategy,Communication design,Computer science,Visualization,Design methods,Human–computer interaction
Conference
ISSN
ISBN
Citations 
2161-024X
978-1-5386-7620-2
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Junfan Jiang100.34
Xi Tang201.01
Feiran Sun301.01
Yifan Chen45819.82