Generation of the last forecasts: 08 December 2024 07:09:21 (UTC)
This model predicts the likelihood of traffic collisions on the roads of Los Angeles, utilizing data from LAPD traffic reports. The database of vehicle collisions is integrated with atmospheric, calendar, and additional data to forecast the probability of collisions occurring within the next hour and for a 7-day period. The probabilities are visualized on Google Maps, color-coded from green (low probability) to red (high probability)...
Such models could potentially be used in the future to optimize the flow of autonomous vehicle traffic.
The map is initially displayed with the current prediction (at Los Angeles local time) of the probabilities of road collisions and is automatically refreshed every hour. Use the timeline bar (below the map) or the time control panel (on the map) to get a forecast at any other available time.
You can also change the region by moving on the map, change the scale or the background settings.
The minimum and maximum values of the probabilities are initially displayed on the map. You can display the forecast at any other place by directly clicking on the map. Use the button "Remove all markers" to delete all the displayed probabilities.
Real-time traffic conditions generated by Google Traffic are displayed only for predictions of the current time.
This project uses the "Traffic Collision Data from 2010 to Present" dataset (see below for details). These traffic collisions counts are combined with calendar and weather data from various models. Data science and machine learning techniques are then used to build predictive models and forecasts for future traffic collisions probabilities. This approach is transposable to the prediction of any weather-dependant variable.
All the data are provided by the Los Angeles Police Department and are available on this link under the Creative Commons CC0 Licence. This dataset is available for download from 2010 to present for the Los Angeles Area.
All the data generated by this experimental model are freely available without warranty of any kind.