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Incorporating Personal Factors for Optimized Transporation Mode Selection

IP.com Disclosure Number: IPCOM000240945D
Publication Date: 2015-Mar-13
Document File: 4 page(s) / 81K

Publishing Venue

The IP.com Prior Art Database

Abstract

The disclosed invention describes a system and method to create highly customized personal transporation recommendations based on the user's behavior from many device sources

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Incorporating Personal Factors for Optimized Transporation Mode Selection
An increasing number of transportation modes is becoming available , with solutions such as bicycle borrowing , on-demand car rental, improved public transportation, networked carpooling, and so forth. These solutions are also becoming digitally enabled, for example to know exactly when a bus will arrive or to signal the nearest taxi .

The increase in choices creates a new problem : how does someone choose their mode of transportation in a given situation? For example, if a user needs to travel to the store down the road , how should they travel? Walk? Run? Bike? Drive? The answer depends not just on the modes available and the fastest trip , but upon personal impact including factors such as health impact, fitness level, desirability, time, and cost of time.

The disclosed invention describes a system and method to help the user choose the optimal mode of transportation , taking into account their personal factors at that moment in time .

State of this art in this area relates mainly to map applications providing transportation choices , or applications integrating precise timing of the transportation modes . Transportation optimization systems do exist , for example systems to find the lowest-cost to ship goods using multiple transportation modes . However these solutions do not take into account personal factors, such as ability and willingness to jog vs . walk. Also these systems do not take into account real-time fluctuation of a person's time.

Prior art search around value of time portion :

"optimize transportation cost"

Existing systems that choose among transportation options to minimize cost :
CA2652729A1 minimizes cost of transportation based on transportation methods US7765120 transportation planner to minimize cost based on constraints US20130138330 dynamic cost planning and minimization for bulk goods shipping

"time value money"

None relevant

"estimate value time"

None relevant

"estimate salary"

None relevant

Web: predict value someone's time


Take education into account:
http://www.measuringusability.com/usability-phd.php
"predict salary"

Many job salary prediction
"how much is my time worth" http://programs.clearerthinking.org/what_is_your_time_really_worth_to_you.html#.U_X25mNnZzd http://www.dailyfinance.com/2014/02/26/how-much-money-is-your-time-worth/

Main system steps:

System integrates personal data and goals from personal devices , such as Fitbit and Smartphone usage data System incorporates configured personal factors such as value of time , health goals System incorporates point-in-time factors such as location (office, home), destination flexibility System identifies available modes of transportation (leveraging art)

System incorporates factors that affect the value of a person 's time, such as work hours and idle time System identifies optimal mode or modes of transportation given all personal factors and available options System optionall...