Transit Time Ad Targeting via Isochrone Route Analysis
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Solution Overview
Problem
Current systems for coordinating travel routes and advertising fail to provide flexible and cost-effective options that integrate public and private transportation modes, limiting the ability to optimize routes for time, transfers, and cost, while also effectively targeting advertisements based on travelers' plans.
Innovation Solution
A system that combines public and private transportation modes using graph search algorithms and crowdsourced private transport resources, allowing for optimized route planning and real-time availability, and uses isochrone data to determine the feasibility of presenting advertisements to travelers based on their travel plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a system integrates public and private transportation modes for route planning, then the flexibility and comprehensiveness of the transportation network is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The system segments the transportation network into public transportation modes (buses, trains, planes, ferries) and private transportation modes (walking, personal vehicles). Each mode is handled by specialized algorithms that calculate routes independently, then combine results. This segmentation allows the system to manage complexity by treating different transportation types separately while still providing integrated routing options.
Solution Approach 2:
The patent introduces an intermediary computing system that acts as a mediator between travelers and transportation providers. This intermediary handles the complex computations of integrating multiple transportation modes, calculating optimal routes, and coordinating advertisements. By placing the computational burden in a centralized intermediary rather than requiring complex logic in each client device, the system achieves versatility without proportionally increasing overall system complexity.
2Manufacturing precision
If the system calculates and optimizes routes considering multiple transportation modes and constraints, then the route optimization quality is improved, but the calculation time and processing requirements increase
Solution Approach 1:
The system performs preliminary calculations by pre-computing routes for different transportation modes and storing them for quick retrieval. When a traveler requests routing information, the system combines pre-calculated public transportation routes with pre-calculated private transportation options rather than computing everything from scratch. This preliminary action significantly reduces real-time calculation time while maintaining route optimization quality.
Solution Approach 2:
The patent implements partial action by allowing the system to provide good-enough route recommendations without exhaustively exploring all possible transportation combinations. The system calculates routes considering key constraints (time, cost, transfers) but accepts approximate solutions that satisfy traveler needs without requiring complete optimization of every possible route variant, thus reducing calculation time while maintaining practical utility.
3Productivity
If the system targets advertisements based on detailed traveler travel plans and timing, then the advertising effectiveness is improved, but the measurement precision and data processing requirements increase
Solution Approach 1:
The system implements feedback mechanisms by tracking whether travelers actually visit advertised locations and whether they take advantage of promoted offers. This feedback information is used to refine future advertising decisions, improving targeting accuracy over time. The system learns from actual traveler behavior patterns to better predict which advertisements will be effective for specific travel plans, enhancing advertising effectiveness while gradually reducing the precision requirements for initial travel plan analysis.
Data Source
AI summary
Planning the presentation of advertisements to travelers, includes using a computer and software to receive data pertaining to a departure time, a location of one or more travelers, a starting location of the traveler, and a vendor event, including a time and location for the event. The received information is used to calculate available time between the departure time and the time of the event, and to calculate, for a given mode of travel, a travel time from the starting location to the event location and then to the departure location. The calculated travel time plus a predetermined amount of time at the event location is compared with the calculated amount of time available, and if the calculated amount of time available is at least equal, present an advertisement corresponding to the vendor event to the traveler.