Mobility Service Simulation With Temporal Logic Constraints
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing simulations for mobility services struggle to efficiently account for constraint conditions, making it difficult to optimize and evaluate these services effectively.
Innovation Solution
An information processing method that executes a simulation of mobile body movement and demand transfer, calculates state transitions, and determines satisfaction of constraint conditions using a temporal logic expression, outputting evaluation results based on safety, economic rationality, and convenience indices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a simulation of mobility service is executed without considering constraint conditions, then the simulation can be performed simply and quickly, but the simulation results cannot reliably evaluate service optimization under real-world restrictions
Solution Approach 1:
The patent applies preliminary action by executing constraint condition determination before final simulation evaluation. The system determines whether constraint conditions are satisfied during the simulation execution process, allowing the simulation to be guided by real-world restrictions from the outset rather than added as a separate post-processing step.
Solution Approach 2:
The patent uses temporal logic expressions as an intermediary mechanism to bridge the simulation system and constraint conditions. The temporal logic expression serves as a mediator that translates complex real-world constraints into a formalizable format that can be systematically evaluated during simulation, reducing the direct complexity of integrating multiple constraint types.
2Reliability
If multiple constraint conditions are incorporated into the simulation, then the simulation can accurately reflect real-world restrictions, but the likelihood of description errors increases
Solution Approach 1:
The patent applies parameter changes by transforming constraint conditions into temporal logic expressions with standardized parameters. This transformation allows different types of constraints (temporal, spatial, logical) to be uniformly represented using consistent parameter syntax, reducing description errors while maintaining comprehensive constraint coverage.
Solution Approach 2:
The patent uses temporal logic expressions as a universal framework that can represent multiple types of constraint conditions through a single formalism. This multi-functional approach allows the same expression structure to handle various constraint types (duration, frequency, temporal relationships), reducing the complexity of describing and managing multiple constraints individually.
3Reliability
If constraint condition determination is performed using complex logical expressions, then comprehensive constraint checking is achieved, but the computation time and processing complexity increase
Solution Approach 1:
The patent replaces complex mechanical constraint checking procedures with automated temporal logic expression evaluation. Instead of manually parsing and evaluating multiple constraint types through complex control logic, the system substitutes this with a formal temporal logic framework that can be systematically processed, reducing computational complexity while maintaining comprehensive constraint checking.
Data Source
AI summary
An information processing method is an information processing method to be executed by a computer and includes: executing, according to an operation parameter of a mobile body that carries a person or a delivery item, a simulation of movement of the mobile body and demand for transfer of the person or the delivery item; calculating, based on an execution result of the simulation, a transition of a state of an object in the simulation; determining, based on the transition, whether a constraint condition is satisfied; and outputting, when the constraint condition is satisfied, an evaluation result of evaluating the execution result of the simulation using at least one of a safety index, an economic rationality index, or a convenience index each pertaining to at least an operation of the mobile body.


