Smart City Gnosys
Smart city article details
| Title | A Novel Method Of Trajectory Data Visualization To Analyze The Current Traffic Situation In Smart Cities |
|---|---|
| ID_Doc | 3451 |
| Authors | Yuchen L.; Zijie W.; Qianling H.; Mehmood R.M. |
| Year | 2022 |
| Published | Advances in Science, Technology and Innovation |
| DOI | http://dx.doi.org/10.1007/978-3-030-86499-6_9 |
| Abstract | As modern society develops, cities become the major living places where people are living in. This phenomenon leads to the high population density in cities, which causes many problems including urban congestion. To better analyze the traffic, models for trajectory data visualization have come up by researchers. Although there have been a lot of studies on trajectory visualization, some studies have performed poorly in terms of user experience. Therefore, in this paper, an improvement in one existing visualization method will be proposed to a more perceptional way to visualize, giving the end-users a clearer perception. Technically, the data used in this research is collected from the existing method, including vehicle speed, traffic direction, location of the vehicle, and traffic volume. Further, the color system used is of better perception and the visualization method is based on JavaScript Object Notation (JSON) and Google Map. With these methods, a final prototype with high effectiveness and better perception will be proposed. Moreover, an evaluation of user study is designed to test user acceptance. By using the improved traffic visualization, drivers will have a better user experience and it is more efficient for traffic observers to analyze the macro traffic. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Google map; JavaScript object notation; Trajectory data visualization; Urban congestion |
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