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Methods and systems for generating parking related data

A technology of related data and related parameters, which is applied in the traffic control system of road vehicles, indicating the various open spaces of the parking lot, the traffic control system, etc., to achieve the effect of accurate parking parameter data

Pending Publication Date: 2019-07-05
TOMTOM TRAFFIC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0022] Applicants have recognized that methods of generating parking-related data (such as parking probabilities or expected parking search times) about segments of electronic maps leave room for improvement

Method used

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  • Methods and systems for generating parking related data
  • Methods and systems for generating parking related data
  • Methods and systems for generating parking related data

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Embodiment Construction

[0120] Embodiments of the invention will now be described with particular reference to a data storage device (such as a server) arranged to access location data received from a plurality of mobile devices, such as configured A Portable Navigation Device (PND) that executes navigation software to provide route planning and navigation functionality. The location data of the mobile device preferably comprises one or more trajectories; wherein each trajectory represents the movement of the device over a specific period of time, for example a 24-hour period. Each 24-hour period is typically, but not necessarily, scheduled to coincide with a calendar day. The server also accesses an electronic map, also referred to as map data, that includes segments representing road networks on which the mobile device can move.

[0121] Embodiments of the invention generally relate to methods of determining parking related data, such as parking success probability or average parking time, for ind...

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Abstract

A method is disclosed for generating parking related data in respect of one or more navigable elements of a navigable network within a geographic area, each navigable element being represented by a segment of an electronic map, the electronic map comprising a plurality of segments representative of the navigable network. The method comprises obtaining positional data relating to trips made by vehicles in the navigable network, each trip being a journey between stationary periods indicative of the vehicle being in a parked state. The method comprises, for each one of the plurality of trips, analysing the positional data to identify a parking space search portion of the trip; and analysing the positional data corresponding to the parking space search portions of the trips to obtain, for eachone of a plurality of segments of the electronic map, a parking related parameter associated with the segment.

Description

technical field [0001] The invention relates to a method of generating parking-related data about one or more segments in an area covered by an electronic map and to a system, server and navigation device on which part or all of said method can be implemented. In particular, the invention relates to generating one or more parking probability values ​​for one or more segments indicating the likelihood of finding a parking space on the segment. In particular, but not exclusively, the generated parking-related segment data may be used in parking time prediction and parking space search route generation for electronic navigation devices such as portable navigation devices (PND). According to certain further aspects, the present invention relates to a method of obtaining profile data indicative of a time dependence of a time dependent parameter, which may be, but need not be, a parking related parameter. Background technique [0002] Portable Navigation Devices (PNDs) incorporat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/36G08G1/14G01C21/34G08G1/01
CPCG08G1/147G08G1/0112G08G1/0129G08G1/0133G08G1/0141G01C21/3492G01C21/3685G01C21/3691
Inventor S·G·威斯纳J·斯卡丁K·伯舍G·施密特
Owner TOMTOM TRAFFIC