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Predictive Analytics to Determine Optimal Travel Plan

IP.com Disclosure Number: IPCOM000243109D
Publication Date: 2015-Sep-15
Document File: 2 page(s) / 36K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a method and system to apply predictive analytics to improve travel planning. The method and system gather appropriate information from a user’s smart devices, social media, and travel information websites, and then apply analytics to accurately predict available travel options and the associated time and costs.

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Predictive Analytics to Determine Optimal Travel Plan

Travelers have multiple options for travel between source and destination. Traditional travel management and planning revolves around fixed information without real time input of current trends. Additionally, many travel-booking processes are limited to a single type of travel or highly favor a single mode of transportation, such as travel by aircraft. Many destinations now have multiple airports that service the metropolitan area, and determination of appropriate ground transportation can be critical in the planning of travel.

Due to the many traditional and non-traditional transportation options and occurrences (e.g., weather delays, construction, etc.), not all of which are available to the casual or personal traveler (as opposed to an experienced or business traveler), it is difficult for a traveler to know which selections best address the situation in terms of time, cost, convenience, amenities, etc.

A method is needed to gather and process the available travel information and provide the best options to the user.

The novel contribution is a method and system to gather appropriate information from a user's smart devices, social media, and travel information websites, and then apply analytics to accurately predict available travel options and the associated time and costs. The core idea is to apply predictive analytics to travel planning.

The solution anticipates and calculates appropriate travel options, methods of transportation, and time involved in each option. This encompasses a wide scope of travel methods including, but not limited to: car service, rental car, shuttle bus, commuter rail, rail, streetcar, commercial airline, personal car, taxi, and social media-bases services. In addition, the system tracks actual arrival and departure times, planned arrival and departure times, traffic conditions, weather

conditions, and user requested travel preferences.

The system's algorithm takes into account that the most time efficient or cost efficient route may be to go the opposite direction. In many cases, routing through major hub airports can greatly increase the available flight options and thus the overall cost and time can be reduced. In addition, airport connection time requirements vary greatly between airports and are dependent on the arriving and departing terminal and gate. The system's algorithms...