HYBRID NEURAL NETWORK SYSTEM FOR TRANSPORTATION SYSTEM OPTIMIZATION
A hybrid neural network system for transportation system optimization includes a hybrid neural network. The hybrid neural network includes a first neural network that predicts a localized effect on a transportation system through analysis of social medial data sourced from a plurality of social media data sources. The hybrid neural network further includes a second neural network that optimizes an operating state of the transportation system based on the predicted localized effect.
1 . A hybrid neural network system for transportation system optimization, the hybrid neural network system comprising a hybrid neural network, including:
a first neural network that predicts a localized effect on a transportation system through analysis of social medial data sourced from a plurality of social media data sources; and
a second neural network that optimizes an operating state of the transportation system based on the predicted localized effect.
2 . The hybrid neural network system of claim 1 wherein at least one of the first neural network and the second neural network is a convolutional neural network.
3 . The hybrid neural network system of claim 1 wherein the second neural network is to optimize an in-vehicle rider experience state.
4 . The hybrid neural network system of claim 1 wherein the first neural network identifies a set of vehicles contributing to the localized effect based on correlation of vehicle location and an area of the localized effect.
5 . The hybrid neural network system of claim 1 wherein the second neural network is to optimize a routing state of the transportation system for vehicles proximal to a location of the localized effect.
6 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of the predicting and optimizing based on keywords in the social media data indicative of an outcome of a transportation system optimization action.
7 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on social media posts or social media feeds.
8 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on ratings derived from the social media data.
9 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on like or dislike activity detected in the social media data.
10 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on indications of relationships in the social media data.
11 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on user behavior detected in the social media data.
12 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on discussion threads or chats in the social media data.
13 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on photographs in the social media data.
14 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on traffic-affecting information in the social media data.
15 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based on an indication of a specific individual at a location in the social media data.
16 . The hybrid neural network system of claim 1 wherein the specific individual is a celebrity.
17 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based a presence of a rare or transient phenomena at a location in the social media data.
18 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based a commerce-related event at a location in the social media data.
19 . The hybrid neural network system of claim 1 wherein the hybrid neural network is trained for at least one of predicting and optimizing based an entertainment event at a location in the social media data.
20 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes traffic conditions or weather conditions.
21 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes entertainment options.
22 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes risk-related conditions.
23 . The hybrid neural network system of claim 22 wherein the risk-related conditions include crowds gathering for potentially dangerous reasons.
24 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes commerce-related conditions.
25 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes goal-related conditions.
26 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes estimates of attendance at an event.
27 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes predictions of attendance at an event.
28 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes modes of transportation.
29 . The hybrid neural network system of claim 28 wherein the modes of transportation include car traffic.
30 . The hybrid neural network system of claim 28 wherein the modes of transportation include public transportation options.
31 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes hash tags.
32 . The hybrid neural network system of claim 1 wherein the social media data analyzed to predict a localized effect on a transportation system includes trending of topics.
33 . The hybrid neural network system of claim 1 wherein an outcome of a transportation system optimization action is at least one of: reducing fuel consumption; reducing traffic congestion; reduced pollution; and bad weather avoidance.
34 . The hybrid neural network system of claim 1 wherein an operating state of the transportation system being optimized includes an in-vehicle state.
35 . The hybrid neural network system of claim 1 wherein an operating state of the transportation system being optimized includes a routing state.
36 . The hybrid neural network system of claim 35 wherein the routing state is for an individual vehicle.
37 . The hybrid neural network system of claim 35 wherein the routing state is for a set of vehicles.
38 . The hybrid neural network system of claim 1 wherein an operating state of the transportation system being optimized includes a user-experience state.