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Smart city article details
| Title | A Framework For Synthesizing Tracker Speeds On Open Street Maps |
|---|---|
| ID_Doc | 1791 |
| Authors | Irshad M.E.; Sohail H.; Zafar N.; Haq I.U. |
| Year | 2020 |
| Published | Proceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020 |
| DOI | http://dx.doi.org/10.1109/INMIC50486.2020.9318150 |
| Abstract | Automation of transportation and vehicular systems is one of the key steps towards achieving vision of digital transformation and smart cities. Intelligent transportation systems, congestion avoidance/prediction systems and automated route planning systems depend upon traffic data mostly collected through Global Positioning System (GPS) installed in trackers, navigators and even in mobile phones. Data collected from GPS systems has erratic traces which need to be resolved. In this paper, we pre-process Floating Car Data (FCD) obtained from vehicle trackers. We present a framework to synthesize tracker speed data and prepare it for visualization on Open Street Maps. The raw data passes through several corrective steps of the framework before the trajectories of individual vehicles can be plotted and visualized. These corrected speed data is than aggregated per unit time to be visualized on Open Street Maps(OSM). We have synthesized tracker speed data obtained from the Inter Junction Principal (IJP) road at the boundary of Islamabad and Rawalpindi in Pakistan. Several descriptive statistical techniques as well as Douglas-Peucker algorithm for trajectory plotting has been utilized and results have been discussed. © 2020 IEEE. |
| Author Keywords | Douglas-Peucker algorithm; FCD; Floating Car Data; GPS; OSM; Speed synthesizing; Traffic Congestion; Trajectories |
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