Optimized route planning and personalized real-time location-based travel management

摘要

A method for optimized route planning for a user, including:
(a) determining a departure point and a destination point for multimodal travel;(b) based on said departure point and destination point, computing and proposing criteria for restricting the number of candidate routes to consider,(c) proposing an updated list of candidate routes between said departure point and said destination point, said updated list being either:
i) automatically displayed after a delay, and/or:ii) based on user selection of said criteria.

主权项

1. A method for providing a user with optimized transportation route planning using a transportation planning comprising a server configured to execute computer-executable components, said method comprising:
using a routing engine for determining a departure point and a destination point for multimodal transportation involving multiple, different modes of transportation; based on said departure point and destination point, using the routing engine for computing and proposing a first list of candidate routes between said departure point and said destination point, using the routing engine for proposing an updated list of candidate routes between said departure point and said destination point, said updated list being either: i) automatically displayed after a delay or after the updated list is computed or after a user action, and/or: ii) displayed based on user selection or exclusion of one or more members in said first list, wherein candidate routes, of the updated list of candidate routes, respectively comprise multimodal transportation routes that respectively include segments with multiple, different modes of transportation, wherein said updated list is at least based on: the probability of delays along each or some routes, subjective information in the form of comments or suggestions made by other travelers who travelled along each or some routes, weather forecasts, and popularity of the route or of some route segments among users or travelers; and automatically learning user preferences based on selections and/or traveller observations during travel, and improving/updating user profiles by taking into account these facts.