US 12,333,457 B1
Artificial intelligence-based pricing, mapping, and emissions control system and method for optimized inner-city mobility
Chukwuka Gideon Monyei, Bristol (GB); and Jennifer Ifechi Alphonsus, Bristol (GB)
Assigned to ESCROW-TECH LIMITED, Bristol (GB)
Filed by Escrow-Tech Limited, Bristol (GB)
Filed on Jun. 28, 2024, as Appl. No. 18/759,717.
Int. Cl. G06Q 10/047 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0202 (2023.01); G06Q 50/40 (2024.01)
CPC G06Q 10/047 (2013.01) [G06Q 30/0202 (2013.01); G06Q 30/0206 (2013.01); G06Q 50/40 (2024.01)] 30 Claims
OG exemplary drawing
 
1. An artificial intelligence-based platform for dynamic optimization of a transportation network, comprising:
a computing device comprising at least a memory and a processor;
a plurality of programming instructions stored in the memory and operable on the processor, wherein the plurality of programming instructions, when operating on the processor, cause the computing device to:
acquire and process real-time and historical data from a plurality of sensors and external data sources to generate a multi-dimensional representation of the transportation network state;
generate a dynamic pricing model for segments of the transportation network based on the multi-dimensional network state representation and a set of pricing policies;
track and predict the behavior of users and vehicles in the transportation network using real-time data and machine learning models;
generate a set of optimized route and pricing options for users by applying a multi-objective optimization algorithm to the dynamic pricing model and the predicted user and vehicle behavior, while satisfying a set of feasibility constraints;
present the optimized route and pricing options to users via an interactive user interface and receive user feedback;
adapt the dynamic pricing model, the user and vehicle behavior models, and the optimization algorithm based on the received user feedback and the evolving transportation network state; and
manage and orchestrate the data flows and interactions between the system components using a centralized or decentralized architecture.