Multimodal Travel Planning System for Vertiport Coordination
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Solution Overview
Problem
Planning travel involving passenger air vehicles is challenging due to difficulties in coordinating ground transportation to vertiports and boarding, with variables such as traffic congestion, time of day, and security clearance affecting travel times, leading to inefficiencies and potential delays.
Innovation Solution
A method and system for planning multimodal travel that determines customized candidate routes from a start location to a destination, incorporating ground transportation to a vertiport, air travel between vertiports, and further ground transportation to the final destination, using a transportation manager to select the optimal route based on user input and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If ground transportation is coordinated to vertiports, then multimodal travel is enabled, but travel time increases due to traffic congestion and waiting
Solution Approach 1:
The system performs preliminary actions by determining customized candidate routes in advance that coordinate ground transportation with air travel segments. The transportation manager pre-plans the entire multimodal journey including ground transport to vertiports, air travel between vertiports, and ground transport to final destinations, optimizing transfer times and reducing waiting periods through advance scheduling and real-time traffic condition integration.
2Productivity
If customized candidate routes are determined using multiple parameters, then travel efficiency is improved, but system complexity increases
Solution Approach 1:
The transportation manager serves as a universal multi-functional system that handles route determination, traffic condition analysis, vertiport coordination, air travel scheduling, and ground transportation management. This centralized multi-functional approach consolidates multiple planning functions into a single system, improving travel efficiency through integrated optimization while managing complexity through unified control rather than multiple separate systems.
Solution Approach 2:
The system determines customized candidate routes by dynamically adjusting and optimizing multiple parameters including traffic conditions, time of day, vertiport locations, air travel duration, and ground transportation options. By systematically varying and evaluating these parameters across different route scenarios, the system identifies optimal multimodal travel paths that maximize efficiency while the computer system manages the computational complexity of multi-parameter optimization.
Data Source
AI summary
A method, apparatus, system, and computer program product for planning multimodal travel. A planning request for the multimodal travel from a first location to an second location is received. Candidate routes are determined for a passenger that is customized for a set of customization parameters a using the first location, the second location, and a set of passenger preferences. A candidate route in the candidate routes comprises a first leg from the first location to a first vertiport via a first modality, a second leg for a passenger air vehicle to travel from the first vertiport to a second vertiport using an air modality, and a third leg from the second vertiport to the second location using a second modality. The candidate route in the candidate routes is selected to form a route for the multimodal travel for the passenger when a user input is received selecting the candidate route.