CN109191783A - It is a kind of towards the potential danger region extracting method called a taxi - Google Patents
It is a kind of towards the potential danger region extracting method called a taxi Download PDFInfo
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- CN109191783A CN109191783A CN201811316740.0A CN201811316740A CN109191783A CN 109191783 A CN109191783 A CN 109191783A CN 201811316740 A CN201811316740 A CN 201811316740A CN 109191783 A CN109191783 A CN 109191783A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000013439 planning Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 claims description 3
- 238000005065 mining Methods 0.000 claims description 3
- 238000012932 thermodynamic analysis Methods 0.000 claims description 3
- 238000012550 audit Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- Entrepreneurship & Innovation (AREA)
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- Quality & Reliability (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Game Theory and Decision Science (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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Abstract
The invention discloses a kind of towards the potential danger region extracting method called a taxi comprising the steps of: step 1: obtaining city map data；Step 2: depletion region, suburb S1 are divided, and are assigned corresponding hazard index；Step 3: the previous case area S2 that occurs is divided, and assigns corresponding hazard index；Step 4: final danger zone is the overlap-add region S of S1 and S2, and hazard index is overlapped；Step 5: hazard index amendment is carried out according to the danger zone period；Step 6: the hazard index of danger zone in different time sections is to sum up obtained.The present invention provides a kind of towards the potential danger region extracting method called a taxi, can reminding platform and passenger danger zone, avoid dangerous generation.
Description
Technical field
It is especially a kind of towards the potential danger region extraction side to call a taxi the present invention relates to a kind of danger zone extracting method
Method.
Background technique
The daily trip of people requires to take the various vehicles, taxi, public transport, subway etc., taxi and
The dial-a-cab such as the express to come into one's own in recent years are accommodating out to like by people since its speed is fast.Taxi is by hiring out
Company's unified management, safety also has certain guarantee, however the dial-a-cab such as express then carry out over-network registration by individual,
Platform carries out audit registration, however platform does not ensure that the accurate of registration personal information, therefore there are huge security risk,
Nearly 2 years are also Frequent Accidents, have led to various tragedies.Bad influence, while the development to express not only are caused to society
And propose huge challenge.It is a kind of towards the potential danger region extracting method called a taxi it is therefore desirable to design, to remind
Platform and passenger's danger coefficient, effectively avoid dangerous situation.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of towards the potential danger region extracting method called a taxi, and is used for
Reminding platform and passenger danger zone, avoid dangerous generation.
In order to solve the above technical problems, the technical scheme adopted by the invention is that:
It is a kind of towards the potential danger region extracting method called a taxi, it is characterised in that comprise the steps of:
Step 1: city map data are obtained；
Step 2: depletion region, suburb S1 are divided, and are assigned corresponding hazard index；
Step 3: the previous case area S2 that occurs is divided, and assigns corresponding hazard index；
Step 4: final danger zone is the overlap-add region S of S1 and S2, and hazard index is overlapped；
Step 5: hazard index amendment is carried out according to the danger zone period；
Step 6: the hazard index of danger zone in different time sections is to sum up obtained.
Further, city map data include city thermal figure, city night remote sensing figure and city in the step 1
Plan thematic diagram data.
Further, the step 2 is specially
2.1, according to urban population thermodynamic analysis, obtain remote areas Sp1, and assign hazard index D1
2.2 obtain building site, mountain forest depletion region Sp2 according to urban planning map analysis, and assign hazard index D2；
2.3 merge Sp1, Sp2, and hazard index is accordingly superimposed, and obtain the region scoring S1 after two map overlays.
Further, the step 3 is specially
3.1 obtain the area being complained in city, describe Pi with point set；
3.2 establish Pi the buffer area that radius is r, are case district occurred frequently S2, and assign hazard index D3.
Further, the step 5 is specially
5.1 danger zone degrees of danger in different time periods can be different, carry out analysis mining using the crime data of big data quantity,
Three period T: high-incidence section of T1 of case, potential risky segment T2, secure segment T3 will be divided into；
5.2 danger zone in different time sections will change its hazard index Di, in high-incidence section of case, hazard index system
One promotes 40%, Di | T1=1.4*Di；
In 5.3 potential risky segments, hazard index is unified to promote 20%, Di | T2=1.2*Di；It is constant in secure segment, Di | T3=Di.
Further, the step 6 is specially hazard index D=Di of danger zone in comprehensive different time sections | Tj |
Sk。
Compared with prior art, the present invention having the following advantages that and effect: by handling city map data, obtaining
Depletion region, suburb S1 to needs are divided and the previous case area S2 that occurs is divided, and assign corresponding danger coefficient, so
It is superimposed danger zone afterwards and hazard index amendment is carried out according to the danger zone period, finally amid all these factors obtains danger area
The danger coefficient in domain, and passenger and platform are fed back to, it is warned if express drives to danger zone, is effectively avoided at once
Danger occurs.
Specific embodiment
Below by embodiment, the present invention is described in further detail, following embodiment be explanation of the invention and
The invention is not limited to following embodiments.
Of the invention is a kind of towards the potential danger region extracting method called a taxi comprising the steps of:
Step 1: city map data are obtained；City map data include city thermal figure, city night remote sensing figure and city rule
Draw thematic diagram data.
Step 2: depletion region, suburb S1 are divided, and are assigned corresponding hazard index；
2.1, according to urban population thermodynamic analysis, obtain remote areas Sp1, and assign hazard index D1
2.2 obtain building site, mountain forest depletion region Sp2 according to urban planning map analysis, and assign hazard index D2；
2.3 merge Sp1, Sp2, and hazard index is accordingly superimposed, and obtain the region scoring S1 after two map overlays.
Step 3: the previous case area S2 that occurs is divided, and assigns corresponding hazard index；
3.1 obtain the area being complained in city, describe Pi with point set；
3.2 establish Pi the buffer area that radius is r, are case district occurred frequently S2, and assign hazard index D3.
Step 4: final danger zone is the overlap-add region S of S1 and S2, and hazard index is overlapped；
Step 5: hazard index amendment is carried out according to the danger zone period；
5.1 danger zone degrees of danger in different time periods can be different, carry out analysis mining using the crime data of big data quantity,
Three period T: high-incidence section of T1 of case, potential risky segment T2, secure segment T3 will be divided into；
5.2 danger zone in different time sections will change its hazard index Di, in high-incidence section of case, hazard index system
One promotes 40%, Di | T1=1.4*Di；
In 5.3 potential risky segments, hazard index is unified to promote 20%, Di | T2=1.2*Di；It is constant in secure segment, Di | T3=Di.
Step 6: the hazard index of danger zone in different time sections is to sum up obtained.Danger area in comprehensive different time sections
Hazard index D=the Di in domain | Tj | Sk.
The present invention by handling city map data, depletion region, the suburb S1 needed divide and with
It is divided toward case area S2 occurs, and assigns corresponding danger coefficient, be then superimposed danger zone and according to the danger zone time
The amendment of Duan Jinhang hazard index, finally amid all these factors obtains the danger coefficient of danger zone, and feed back to passenger and platform,
It is warned at once if express drives to danger zone, effectively avoids dangerous generation.
Above content is only illustrations made for the present invention described in this specification.Technology belonging to the present invention
The technical staff in field can do various modifications or supplement or is substituted in a similar manner to described specific embodiment, only
It should belong to guarantor of the invention without departing from the content or beyond the scope defined by this claim of description of the invention
Protect range.
Claims (6)
1. a kind of towards the potential danger region extracting method called a taxi, it is characterised in that comprise the steps of:
Step 1: city map data are obtained；
Step 2: depletion region, suburb S1 are divided, and are assigned corresponding hazard index；
Step 3: the previous case area S2 that occurs is divided, and assigns corresponding hazard index；
Step 4: final danger zone is the overlap-add region S of S1 and S2, and hazard index is overlapped；
Step 5: hazard index amendment is carried out according to the danger zone period；
Step 6: the hazard index of danger zone in different time sections is to sum up obtained.
2. described in accordance with the claim 1 a kind of towards the potential danger region extracting method called a taxi, it is characterised in that: the step
City map data include city thermal figure, city night remote sensing figure and urban planning special topic diagram data in rapid one.
3. described in accordance with the claim 1 a kind of towards the potential danger region extracting method called a taxi, it is characterised in that: the step
Rapid two are specially
2.1, according to urban population thermodynamic analysis, obtain remote areas Sp1, and assign hazard index D1
2.2 obtain building site, mountain forest depletion region Sp2 according to urban planning map analysis, and assign hazard index D2；
2.3 merge Sp1, Sp2, and hazard index is accordingly superimposed, and obtain the region scoring S1 after two map overlays.
4. described in accordance with the claim 1 a kind of towards the potential danger region extracting method called a taxi, it is characterised in that: the step
Rapid three are specially
3.1 obtain the area being complained in city, describe Pi with point set；
3.2 establish Pi the buffer area that radius is r, are case district occurred frequently S2, and assign hazard index D3.
5. described in accordance with the claim 1 a kind of towards the potential danger region extracting method called a taxi, it is characterised in that: the step
Rapid five are specially
5.1 danger zone degrees of danger in different time periods can be different, carry out analysis mining using the crime data of big data quantity,
Three period T: high-incidence section of T1 of case, potential risky segment T2, secure segment T3 will be divided into；
5.2 danger zone in different time sections will change its hazard index Di, in high-incidence section of case, hazard index system
One promotes 40%, Di | T1=1.4*Di；
In 5.3 potential risky segments, hazard index is unified to promote 20%, Di | T2=1.2*Di；It is constant in secure segment, Di | T3=Di.
6. described in accordance with the claim 1 a kind of towards the potential danger region extracting method called a taxi, it is characterised in that: the step
Rapid six be specially hazard index D=Di of danger zone in comprehensive different time sections | Tj | Sk.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811316740.0A CN109191783A (en) | 2018-11-07 | 2018-11-07 | It is a kind of towards the potential danger region extracting method called a taxi |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811316740.0A CN109191783A (en) | 2018-11-07 | 2018-11-07 | It is a kind of towards the potential danger region extracting method called a taxi |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109191783A true CN109191783A (en) | 2019-01-11 |
Family
ID=64942068
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811316740.0A Pending CN109191783A (en) | 2018-11-07 | 2018-11-07 | It is a kind of towards the potential danger region extracting method called a taxi |
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| CN (1) | CN109191783A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102490687A (en) * | 2011-12-16 | 2012-06-13 | 陈瑞斌 | Vehicle anti-hijack protection system based on mobile communication technology |
| CN104732785A (en) * | 2015-01-09 | 2015-06-24 | 杭州好好开车科技有限公司 | Driving behavior analyzing and reminding method and system |
| CN105787652A (en) * | 2016-02-23 | 2016-07-20 | 北京师范大学 | Area integrated environment risk evaluation and portioning method |
| CN106184229A (en) * | 2016-06-30 | 2016-12-07 | 惠州华阳通用电子有限公司 | Vehicle drive method for early warning and system thereof |
| CN106297183A (en) * | 2016-08-25 | 2017-01-04 | 宇龙计算机通信科技(深圳)有限公司 | A kind of method for safety monitoring and equipment |
| US10024684B2 (en) * | 2014-12-02 | 2018-07-17 | Operr Technologies, Inc. | Method and system for avoidance of accidents |
| CN108417091A (en) * | 2018-05-10 | 2018-08-17 | 武汉理工大学 | Driving risk section identification based on net connection vehicle and early warning system and method |
| CN108769919A (en) * | 2018-05-31 | 2018-11-06 | 深圳市零度智控科技有限公司 | Fast and safely alarm method, system, equipment and storage medium Internet-based |
-
2018
- 2018-11-07 CN CN201811316740.0A patent/CN109191783A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102490687A (en) * | 2011-12-16 | 2012-06-13 | 陈瑞斌 | Vehicle anti-hijack protection system based on mobile communication technology |
| US10024684B2 (en) * | 2014-12-02 | 2018-07-17 | Operr Technologies, Inc. | Method and system for avoidance of accidents |
| CN104732785A (en) * | 2015-01-09 | 2015-06-24 | 杭州好好开车科技有限公司 | Driving behavior analyzing and reminding method and system |
| CN105787652A (en) * | 2016-02-23 | 2016-07-20 | 北京师范大学 | Area integrated environment risk evaluation and portioning method |
| CN106184229A (en) * | 2016-06-30 | 2016-12-07 | 惠州华阳通用电子有限公司 | Vehicle drive method for early warning and system thereof |
| CN106297183A (en) * | 2016-08-25 | 2017-01-04 | 宇龙计算机通信科技(深圳)有限公司 | A kind of method for safety monitoring and equipment |
| CN108417091A (en) * | 2018-05-10 | 2018-08-17 | 武汉理工大学 | Driving risk section identification based on net connection vehicle and early warning system and method |
| CN108769919A (en) * | 2018-05-31 | 2018-11-06 | 深圳市零度智控科技有限公司 | Fast and safely alarm method, system, equipment and storage medium Internet-based |
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Application publication date: 20190111 |
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