Lu Qiang, Liang Chong, Cao Shubo, Tan Xiao. Deformation of city lines based on constraint rules[J]. Journal of Image and Graphics, 2016, 21(6): 796-804. DOI: 10.11834/jig.20160612.
Deformation of city lines based on constraint rules
Traffic is an important factor in any city. The urban road network becomes more complex along with the development of urban traffic. Such complexity leads to visual disturbance
affects the line planning
interrupts the transfer of passengers from urban to metro buses
results in rapid positioning
and many others. Thus
line deformation has become an important research topic in the study of information visualization. To address this issue
we propose an automatic layout deformation algorithm of a formal road system based on constraint rules to improve the traffic network. Thus
users can rapidly find the routes to their destination points on the actual traffic map and reflect those routes on the actual map easily using our method. The key points are extracted by preprocessing actual map data to generate an initial line map that is used as layout. Afterward
the constraint rules of the angle rule
side length rule
and non-overlapping rule are implemented using a force-directed algorithm. Multi-objective optimization is then performed using the hill climbing algorithm to complete the task of restricting the line direction. We perform a subjective evaluation by employing the questionnaire survey method and use Road Net of Hefei City in China and Retro Map of Mexico as actual cases. The results of the experimental and comparative analysis reveal that around 69.6% of all users acknowledge the importance of legibility
aesthetic
convenience
and practicality. We perform a user planning route experiment in which the starting point is the same as the destination point. Each group of participants save 26.2% of their time in the user planning path tests. The line deformation that is proposed based on the constraint rules and changes can transform a complex urban road into a simple line map that can be easily understood by individuals. This technique eases the contradiction between complex urban circuits and the limitations of human memory and effectively prevents visual noise from complex urban road networks. This method is suitable for route planning
transferring between urban and metro buses
rapid positioning
and so on
thereby improving road efficiency and saving a large amount of time.