Transportation planner and route calculator for alternative travel methods
First Claim
1. A travel planner and personalized route calculating device, comprising:
- circuitry configured to generate a user profile from at least one of a questionnaire, a settings application, scheduling information, social network information, and a log of previous journeys made by the user,a global positioning system configured to determine a current location of the user,generate a plurality of route recommendations based on the generated user profile, the current location of the user, localized transportation and Traffic Demand Management options,generate a preference ranking based on the generated user profile, environmental information, health information and at least one of fitness information, a time, safety information, a cost, scenic information, weather information, a mode of transport for a user, and one of a first type of day and a second type of day, wherein the first type of day is a weekday and the second type of day is a weekend,and update the user profile to include the preference ranking, wherein the plurality of route recommendations include a separate recommendation corresponding to each category of the preference rankings, and wherein the circuitry is configured to select a route recommendation having a highest preference ranking and to control a display to output the selected route recommendation,wherein the circuitry determines a degree to which the user follows the route recommendation having the highest preference ranking and updates the user profile based on the determination, wherein the environmental information is information indicating a carbon footprint of one or more route recommendations, and wherein the health information indicates the health benefits to the user of one or more route recommendations,wherein the generating of the preference ranking is an algorithm based on a median aggregation function that calculates a middle value for different attributes by using multiple observations from the user profile attributes, and wherein the algorithm computes an expected observation for each attribute corresponding to the first type of day and the second type of day, and determines, based on the type of day, a degree to which the user follows the recommended route by computing a deviation between the expected observation of each attribute and an actual observation of the attribute and computing a chi-square value for each attribute, and wherein the circuitry is further configured to compute a degree of freedom parameter corresponding to all attributes, the degree of freedom parameter corresponding to a significance of the computed chi-square values of the attributes.
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Abstract
A transportation planner and route calculator for alternative travel methods that recommends alternative modes of transport relating to the preferences of the user. Recommendations draw upon preferences generated from the user'"'"'s profile which is made up of inserted information from the user, travel historical log, a settings application and a method of auto adjusting the user'"'"'s profile. A calculator unit retrieves one or more generated attributes of the user and obtains various related information such as available public transport, weather forecasts, historical travel log, to calculate travel options that best suit the users needs. The application constantly updates the users profile based on the users travel patterns and preferences, as the application learns more about the user the better the application becomes at recommending travel routes that suite the user'"'"'s requirements.
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Citations
17 Claims
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1. A travel planner and personalized route calculating device, comprising:
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circuitry configured to generate a user profile from at least one of a questionnaire, a settings application, scheduling information, social network information, and a log of previous journeys made by the user, a global positioning system configured to determine a current location of the user, generate a plurality of route recommendations based on the generated user profile, the current location of the user, localized transportation and Traffic Demand Management options, generate a preference ranking based on the generated user profile, environmental information, health information and at least one of fitness information, a time, safety information, a cost, scenic information, weather information, a mode of transport for a user, and one of a first type of day and a second type of day, wherein the first type of day is a weekday and the second type of day is a weekend, and update the user profile to include the preference ranking, wherein the plurality of route recommendations include a separate recommendation corresponding to each category of the preference rankings, and wherein the circuitry is configured to select a route recommendation having a highest preference ranking and to control a display to output the selected route recommendation, wherein the circuitry determines a degree to which the user follows the route recommendation having the highest preference ranking and updates the user profile based on the determination, wherein the environmental information is information indicating a carbon footprint of one or more route recommendations, and wherein the health information indicates the health benefits to the user of one or more route recommendations, wherein the generating of the preference ranking is an algorithm based on a median aggregation function that calculates a middle value for different attributes by using multiple observations from the user profile attributes, and wherein the algorithm computes an expected observation for each attribute corresponding to the first type of day and the second type of day, and determines, based on the type of day, a degree to which the user follows the recommended route by computing a deviation between the expected observation of each attribute and an actual observation of the attribute and computing a chi-square value for each attribute, and wherein the circuitry is further configured to compute a degree of freedom parameter corresponding to all attributes, the degree of freedom parameter corresponding to a significance of the computed chi-square values of the attributes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A travel planner and personalized route calculating device, comprising:
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circuitry configured to generate a user profile from at least one of a questionnaire, a settings application, scheduling information, social network information, and a log of previous journeys made by the user, a global positioning system configured to determine a current location of the user, generate a plurality of route recommendations based on the generated user profile, the current location of the user, localized transportation and Traffic Demand Management options, identify, based on the user profile, a type of vehicle the user uses regularly, identify, as function of the type of vehicle, fuel consumption metrics, a cost of filling up the vehicle with the gas, and the environment information, generate a preference ranking based on the generated user profile, environmental information, health information and at least one of fitness information, a time, safety information, a cost, scenic information, weather information, a mode of transport for the user, the fuel consumption metrics, the cost of filling up the vehicle with gas, and one of a first type of day and a second type of day, wherein the first type of day is a weekday and the second type of day is a weekend, and update the user profile to include the preference ranking, wherein the plurality of route recommendations include a separate recommendation corresponding to each category of the preference rankings, and wherein the circuitry is configured to select a route recommendation having a highest preference ranking and to control a display to output the selected route recommendation, wherein the circuitry determines a degree to which the user follows the route recommendation having the highest preference ranking and updates the user profile based on the determination, wherein the environmental information is information indicating a carbon footprint of one or more route recommendations, and wherein the health information indicates the health benefits to the user of one or more route recommendations, wherein the generating of the preference ranking is an algorithm based on a median aggregation function that calculates a middle value for different attributes by using multiple observations from the user profile attributes, and wherein the algorithm computes an expected observation for each attribute corresponding to the first type of day and the second type of day, and determines, based on the type of day, a degree to which the user follows the recommended route by computing a deviation between the expected observation of each attribute and an actual observation of the attribute and computing a chi-square value for each attribute, and wherein the circuitry is further configured to compute a degree of freedom parameter corresponding to all attributes, the degree of freedom parameter corresponding to a significance of the computed chi-square values of the attributes.
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Specification