Visualizing traffic light data
Budget: $30 – $250 USD
locating the specific abnormalities that might be related to intrusions into a traffic management system -
We must first comprehend how these systems function before we can anticipate how attacks might be spotted in the data from the traffic control systems. We briefly describe traffic signal systems in the sections that follow, and then we list some possible assaults on those systems. We take the time distribution cycles and all the values included are normalized and the dataset is cleaned before plotting the final graph. We then take the attributes from the dataset and apply a proper visualizing method to detect the abnormalities.
Basically, we need to reveal the patterns (normal and abnormal) in the given traffic light data across a few intersections. The normal patterns should be dominant, while the abnormal patterns could indicate potential hacking to the traffic light control system. Your tasks are to develop effective visualization system/framework to intuitive reveal those patterns and support some user exploration.
We must first comprehend how these systems function before we can anticipate how attacks might be spotted in the data from the traffic control systems. We briefly describe traffic signal systems in the sections that follow, and then we list some possible assaults on those systems. We take the time distribution cycles and all the values included are normalized and the dataset is cleaned before plotting the final graph. We then take the attributes from the dataset and apply a proper visualizing method to detect the abnormalities.
Basically, we need to reveal the patterns (normal and abnormal) in the given traffic light data across a few intersections. The normal patterns should be dominant, while the abnormal patterns could indicate potential hacking to the traffic light control system. Your tasks are to develop effective visualization system/framework to intuitive reveal those patterns and support some user exploration.