Integrated Transportation Routing for Multi-Mode Fleet Sharing
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Solution Overview
Problem
Current vehicle-sharing, bicycle-sharing, and scooter-sharing services lack integrated transportation solutions that allow users to seamlessly rent both a vehicle and a secondary apparatus, such as a scooter or bicycle, to efficiently reach a destination.
Innovation Solution
A method and system that determine a route for an integrated transportation request using a processor, considering the user's location, destination, integrated transportation history, traffic information, and operating information of the secondary apparatus, and provide navigation instructions for both the vehicle and secondary apparatus portions, with the vehicle battery powering the secondary apparatus during use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle-sharing, bicycle-sharing, and scooter-sharing services operate independently, then each service can be managed separately with simple operations, but users cannot efficiently reach destinations requiring multiple transportation modes
Solution Approach 1:
The patent combines vehicle-sharing, bicycle-sharing, and scooter-sharing services into a single integrated transportation platform. The system merges multiple transportation modes and their management interfaces into one unified service, allowing users to access all modes through a single application and receive coordinated routing that spans different transportation types.
Solution Approach 2:
The integrated transportation system serves multiple functions: it manages different types of shared vehicles (cars, bicycles, scooters), provides unified booking and payment, generates integrated routes combining multiple modes, and offers a single user interface for all operations. This multi-functional platform replaces the need for separate services for each transportation mode.
2Productivity
If users manually plan routes combining multiple transportation modes, then flexibility in choosing modes is maintained, but time consumption and planning complexity increase significantly
Solution Approach 1:
The system pre-calculates and stores optimal routes that combine multiple transportation modes based on various factors such as traffic conditions, user preferences, and real-time availability. When a user requests transportation, the system retrieves and presents pre-planned integrated routes, eliminating the need for users to manually plan complex multi-mode journeys from scratch.
Solution Approach 2:
The system continuously monitors real-time data including traffic conditions, vehicle availability, and user behavior patterns. This feedback is used to dynamically adjust and optimize integrated routes, providing users with up-to-date transportation options that account for current conditions while minimizing planning time.
3Measurement precision
If the system considers multiple factors (user history, traffic information, apparatus status) for route determination, then route optimization is improved, but computational complexity and data processing requirements increase
Solution Approach 1:
The system divides the complex route optimization task into separate processing modules: one module handles user history and preferences, another processes real-time traffic information, a third checks apparatus availability and status, and a fourth integrates these factors to generate the final route. This segmentation allows each module to process specific data types independently, reducing overall computational complexity.
Solution Approach 2:
The system introduces an intermediary routing engine that acts as a mediator between various data sources (user profiles, traffic systems, vehicle management systems) and the final route generation. This intermediary layer standardizes data formats, filters relevant information, and coordinates the integration of multiple data streams, simplifying the overall processing architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to efficiently plan and execute integrated transportation services, optimizing routes based on user history, traffic, and apparatus status, enhancing the usability of sharing services by providing a seamless transition from vehicle to secondary transportation.
Implementation Method 1
providing, using a vehicle battery, power to a battery of the secondary transportation apparatus while the user is operating the vehicle
Data Source
AI summary
A method and system are disclosed and include determining, in response to receiving an integrated transportation request, a route based on (i) at least one of a location of a vehicle and a user, and (ii) a destination associated with the integrated transportation request. The method also includes determining a vehicle portion and a secondary transportation apparatus portion of the route based on at least one of (i) the location, (ii) the destination, (iii) an integrated transportation history associated with the user, (iv) traffic information retrieved from a mapping application, and (v) operating information of a secondary transportation apparatus. The method also includes displaying the vehicle portion while the vehicle is operating. The method also includes transmitting the secondary transportation apparatus portion to at least one of a portable device associated with the user and the secondary transportation apparatus.