Presenter Name: David Flessner, Sukru Yaren Gelbal Title: Intersection Data Visualization Tool for V2X Application Development
Abstract:
V2X (Vehicle to Everything) technology is one of the highly anticipated fields for both automotive companies and research groups in universities. The communication capability afforded by V2X technology improves situational awareness and provides advantages for many of the traffic problems that are caused by reduced visibility or No-Line-of-Sight situations. Therefore, it is both useful for autonomous or non-autonomous driving. Moreover, with the traffic light Signal Phase and Timing (SPaT) information provided with V2I (Vehicle to Infrastructure) communication, outcomes which benefit the driver in the long run, such as less fuel consumption with speed regulation or decrease in traffic congestion through optimal speed advisories, red light violation warning messages and intersection motion assist messages for collision free intersection maneuvering are possible. While V2X technology is rapidly developing and getting more and more common in both research and production, number of available tools developed for this purpose is lagging behind. Accordingly, this paper is on a tool developed by the authors to visualize V2I SAE J2735 MAP data on a global map, as well as to visualize the vehicle itself on the data. The tool accepts the data as string or a recorded data stream for visualization. It will also be updated in the future to accompany more types of connected and autonomous vehicle data.
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