Social data sources feeding a neural network to predict an emerging condition relevant to a transportation plan of at least one individual
A system may receive social data from a plurality of social data sources. A system may process the social data using semantic analysis to detect keywords in the social data indicative of a group transportation need. A system may identify a plurality of individuals who share a group transportation need. A system may predict the group transportation need using a neural network trained to predict transportation needs based on the detected keywords. A system may provide a transportation recommendation based on the prediction.
1. A computer-implemented method of providing a transportation recommendation, the method comprising:
receiving social data from a plurality of social data sources, wherein the social data includes social media posts, discussion threads, chats, or photographs;
processing, using a data processing system, the social data using natural language processing analysis to detect indications of a group transportation need in the social data, wherein the indications of the group transportation need in the social data include transportation need indicative language;
identifying a plurality of individuals who share the group transportation need based on the processed social data;
predicting the group transportation need using a neural network that is trained to predict transportation needs based on the detected indications of the group transportation need and based on the plurality of identified individuals;
providing the transportation recommendation to an expert system that is connected to one or more vehicles, wherein the transportation recommendation is provided based on the predicted group transportation need, and wherein the transportation recommendation includes at least one parameter of configuration for the expert system that controls a routing parameter for the one or more vehicles; and
using the expert system to route the one or more vehicles based on the transportation recommendation provided to the expert system.
2. The method of claim 1 , further comprising:
using the processed social data to determine a preferred mode of transportation for each individual in the plurality of individuals who share the group transportation need; and
incorporating the preferred mode of transportation into the transportation recommendation that is provided to the expert system.
3. The method of claim 1 , wherein the plurality of social data sources includes at least one of social media platforms, online discussion threads, or messaging applications.
4. The method of claim 1 , wherein the neural network that is trained to predict the transportation needs is a deep learning neural network.
5. The method of claim 1 , further comprising:
receiving feedback from the plurality of individuals who share the group transportation need regarding the transportation recommendation; and
using the feedback to train the neural network.
6. The method of claim 1 , wherein the group transportation need that is predicted by the neural network is a shared destination of the plurality of individuals.
7. The method of claim 1 , wherein the group transportation need that is predicted by the neural network is a shared departure time of the plurality of individuals.
8. The method of claim 1 , wherein the group transportation need that is predicted by the neural network is a shared route of the plurality of individuals.
9. The method of claim 1 , wherein the transportation recommendation that is provided to the expert system further includes at least one of a suggested route for the one or more vehicles, a suggested departure time for the one or more vehicles, or a suggested mode of transportation that can be used to transport the plurality of individuals.
10. A computer-implemented method of providing a transportation recommendation, the method comprising:
receiving social data from a plurality of social data sources relating to a group of individuals, wherein the social data includes social media posts, discussion threads, chats, or photographs;
processing, using a data processing system, the social data using natural language processing analysis to detect indications in the social data of a group transportation need of the group of individuals;
predicting the group transportation need using a neural network that is trained to predict transportation needs based on the detected indications of the group transportation need and based on the group of individuals to which the social data sources are related;
providing a group transportation recommendation to an expert system that is connected to a plurality of vehicles, wherein the group transportation recommendation is provided based on the predicted group transportation need;
identifying, using the expert system, one or more vehicles from among the plurality of vehicles with performance characteristics consistent with the group transportation recommendation; and
selecting and routing the one or more vehicles to perform the group transportation need in accordance with the group transportation recommendation.
11. The method of claim 10 , further comprising:
using the processed social data to determine a preferred mode of transportation for the group of individuals; and
incorporating the preferred mode of transportation into the group transportation recommendation that is provided to the expert system.
12. The method of claim 10 , wherein the plurality of social data sources includes at least one of social media platforms, online discussion threads, or messaging applications.
13. The method of claim 10 , wherein the neural network that is trained to predict the transportation needs is a deep learning neural network.
14. The method of claim 10 , further comprising:
receiving feedback from the group of individuals regarding the group transportation recommendation; and
using the feedback to train the neural network.
15. The method of claim 10 , wherein the group transportation recommendation that is provided to the expert system includes at least one of a suggested route for the one or more vehicles or a suggested departure time for the one or more vehicles.
16. The method of claim 10 , wherein the performance characteristics include at least one of fuel efficiency, vehicle capacity, or vehicle speed.
17. The method of claim 10 , wherein the group transportation recommendation that is provided to the expert system is further based on a predicted environmental impact.
18. A system for providing a group transportation recommendation, the system comprising a data processing system and an expert system, wherein the system is configured to:
receive social data from a plurality of social data sources, wherein the social data relates to a group of individuals, and wherein the social data includes social media posts, discussion threads, chats, or photographs;
use the data processing system to process the social data with natural language analysis to detect indications in the social data of a group transportation need of the group of individuals;
predict a group transportation need of the group of individuals using a neural network that is trained to predict transportation needs based on the detected indications of the group transportation need and based on the group of individuals to which the social data sources are related;
provide a group transportation recommendation to an expert system that is connected to a plurality of vehicles, wherein the group transportation recommendation is provided based on the predicted group transportation need;
identify, using the expert system, one or more vehicles form among the plurality of vehicles with performance characteristics consistent with the group transportation recommendation; and
select and route the one or more vehicles from among the plurality of identified vehicles to perform the group transportation need in accordance with the group transportation recommendation.
19. The system of claim 18 , wherein the group transportation recommendation that is provided to the expert system includes at least one of a suggested route for the one or more vehicles, a suggested destination for the one or more vehicles, or a suggested departure time for the one or more vehicles.
20. The system of claim 18 , wherein the performance characteristics include at least one of fuel efficiency, vehicle capacity, or vehicle speed.