CN103824449A - Method for searching and processing road accident black spots by using crowdsourcing - Google Patents
Method for searching and processing road accident black spots by using crowdsourcing Download PDFInfo
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- CN103824449A CN103824449A CN201410099437.5A CN201410099437A CN103824449A CN 103824449 A CN103824449 A CN 103824449A CN 201410099437 A CN201410099437 A CN 201410099437A CN 103824449 A CN103824449 A CN 103824449A
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Abstract
The invention discloses a method for searching and processing road accident black spots by using crowdsourcing. The method comprises the following steps: S1. acquiring data information relevant to a road accident by a user; S2. uploading the acquired data information to a database server of a data center through terminal equipment by the user; S3. processing the received data information by using the database server and determining the road accident black spots; S4. determining the processing sequence of the road accident black spots according to the distribution and severity degrees of the road accident black spots; and S5. issuing the determined road accident black spots. Relevant data information are provided for possible accident black spots occurring in a current running road by a part of or all traffic participants, traffic managers and traffic safety experts, and the road accident black spots are analyzed according to the data information, so that the searching cost on the road accident black spots is lowered effectively on the premise of not influencing the current road safety performance, and the overall safety performance of the road is improved.
Description
Technical field
The present invention relates to a kind of Highway accident blackspot method of determining, specifically a kind of method of utilizing mass-rent to find and process Highway accident blackspot, belongs to traffic safety technology field.
Background technology
Along with the increase of automobile pollution and highway mileage, the traffic safety of China is comparatively severe.Obtain according to forefathers research institute, people, car, road are and closely-related three aspects of traffic safety, wherein directly the accident relevant to road conditions accounts for 1% of traffic hazard sum, and this ignores because road is former thereby bring out mechanical fault or human error and the accident that indirectly causes.It is generally acknowledged that road reason accounts for 10% left and right of total traffic accident causation abroad, even have research to think that the direct or indirect reason of 70% road traffic accident is caused by bad road conditions.
Mostly the research of accident black-spot is to set about by data statistics, by the processing to traffic hazard, thus the more place of the accident that obtains, i.e. accident black-spot.There is following problem in this accident black-spot research method based on traffic hazard data:
(1) first accident is to have certain randomness small probability event, and this causes not having an accident in long period section in some dangerous section, thereby ignores the transformation in the dangerous section of part.
(2) when shorter newly-built road of service time, accident statistics is less, although or the service time longer, when accident statistics imperfection, the selection of dangerous section transformation is had to larger difficulty.
(3) part section does not have major casualties, but while often there is the accident of property loss, these sections also can easily be left in the basket in transformation process.
(4) be not useable for building road.
(5) road environment can change at any time, and accident black-spot can not considered the variation of road environment.
And can make high cost by roadway characteristic to accident black-spot research.
Summary of the invention
For the problem and shortage of above-mentioned existing existence, the object of the present invention is to provide a kind of method of utilizing mass-rent to find and process Highway accident blackspot, it reduces the cost of determining Highway accident blackspot in the situation that not affecting existing road security performance.
The present invention solves the technical scheme that its technical matters takes: a kind of method of utilizing mass-rent to find and process Highway accident blackspot, is characterized in that: comprise the following steps:
S1, user gathers the data message relevant to road accident, and the described data message relevant to road accident comprises: the subjective description information of road accident positional information, road alignment and environmental information, psychological condition, the objective data information of physiological characteristic and road accident processing requirements and method;
S2, user is uploaded to the data message of collection by terminal device the database server of data center;
S3, database server is processed and definite Highway accident blackspot the data message receiving;
S4, determines the processing sequence of Highway accident blackspot according to the distribution of Highway accident blackspot and the order of severity;
S5, issues definite Highway accident blackspot information.
Further, the method for the invention is further comprising the steps of:
S6, user comments on, submits to for the Highway accident blackspot information of issuing and revises and supplementary data information or submission Highway accident blackspot treatment measures;
S7, database server real-time release is upgraded Highway accident blackspot information.
Further, described road accident positional information comprises longitude and the latitude of road accident position, and road accident positional information positioned or chose on web map road accident position method by having the mobile device of GPS function gathers; Described road alignment information comprises the straight-line segment of road accident position, long straight-line segment, intersection and radius-of-curvature, and road alignment information exchange is crossed photograph and manual input method gathers; Described road environment information comprises condition of road surface, means of transportation, geomorphological features, meteorological condition and traffic flow, and road environment information exchange is crossed the video information of collecting to vehicle driving registering instrument or with the terminal device of video collect function and identified acquisition or gather by artificial input method; Described psychological condition information comprises psychological stress degree and fears degree, psychological condition information can by nervous, loosen and be divided into 3～7 kinds of states between the two, and selected by user; Described physiological characteristic information comprises blood pressure, heart rate and dermatopolyneuritis, and physiological characteristic information exchange crosses multiple tracks physiologic information instrument or intelligent bracelet obtains; Described road accident processing requirements and method comprise target and the road accident treatment measures that user will reach road accident processing.
Further, described user comprises traffic participant, traffic administration person and traffic safety expert.
Further, described terminal device comprises smart mobile phone, net book, computing machine or special hand-held terminal.
Further, described server is processed and the process of definite Highway accident blackspot comprises the following steps the data message receiving:
The data message gathering is carried out to Primary Stage Data processing: by psychological condition data turn over number word format preservation, from text description, extract keyword and keyword is converted to digital format and preserve;
Determine Highway accident blackspot candidate point: according to the positional information in every data message record, by relevant position and be summed up as an accident black-spot candidate point around, determine the state of aggregation of accident black-spot candidate point;
Determine the order of severity of Highway accident blackspot candidate point: relevant psychological condition and the physiological characteristic situation of every data message record to Highway accident blackspot candidate point gather, remove the highest 10% and minimum 10%, getting its record of middle 80% averages, and in conjunction with corresponding road alignment and environmental information, represent the order of severity of Highway accident blackspot by its summation;
The comprehensive above-mentioned disposition of Highway accident blackspot is sorted to distribution and the order of severity of Highway accident blackspot in certain section of road or whole road network, thus determine the priority processing rank of Highway accident blackspot.
Further, described server the data message receiving is processed and the process of definite Highway accident blackspot further comprising the steps of before the priority processing rank of determining Highway accident blackspot:
Utilize the method for the order of severity step of determining Highway accident blackspot candidate point further to segment according to the time of record the order of severity of determining Highway accident blackspot to Highway accident blackspot.
Further, described server the data message receiving is processed and the process of definite Highway accident blackspot further comprising the steps of before the priority processing rank of determining Highway accident blackspot:
Utilize the method for the order of severity step of determining Highway accident blackspot candidate point Highway accident blackspot to be segmented to the order of severity of determining Highway accident blackspot according to meteorological condition.
The invention has the beneficial effects as follows: the present invention utilizes part or all traffic participants, traffic administration person and traffic safety expert to provide related data information to the accident black-spot that may occur in existing operation road, according to data message analysis is carried out to Highway accident blackspot, in the situation that not affecting existing road security performance, effectively reduce the cost of looking for of Highway accident blackspot, increased the general safety performance of road.
Accompanying drawing explanation
Fig. 1 is method flow diagram of the present invention;
Fig. 2 is the method flow diagram of the process of definite Highway accident blackspot of the present invention;
Fig. 3 is of the present invention one concrete application schematic diagram.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further illustrated.
As shown in Figure 1, a kind of method of utilizing mass-rent to find and process Highway accident blackspot of the present invention, it comprises the following steps:
S1, user gathers the data message relevant to road accident, the described data message relevant to road accident comprises: the subjective description information of road accident positional information, road alignment and environmental information, psychological condition, the objective data information of physiological characteristic and road accident processing requirements and method, and described user comprises traffic participant, traffic administration person and traffic safety expert;
S2, user is uploaded to the data message of collection by terminal device the database server of data center, and described terminal device comprises smart mobile phone, net book, computing machine or the special hand-held terminal that can carry out by the database server of network and data center data transmission;
S3, database server is processed and definite Highway accident blackspot the data message receiving;
S4, determines the processing sequence of Highway accident blackspot according to the distribution of Highway accident blackspot and the order of severity;
S5, issues definite Highway accident blackspot information;
S6, user comments on, submits to for the Highway accident blackspot information of issuing and revises and supplementary data information or submission Highway accident blackspot treatment measures;
S7, database server real-time release is upgraded Highway accident blackspot information.
Further, described road accident positional information comprises longitude and the latitude of road accident position, and road accident positional information positioned or chose on web map road accident position method by having the mobile device of GPS function gathers; Described road alignment information comprises the straight-line segment of road accident position, long straight-line segment, intersection and radius-of-curvature, and road alignment information exchange is crossed photograph and manual input method gathers; Described road environment information comprises condition of road surface, means of transportation, geomorphological features, meteorological condition and traffic flow, and road environment information exchange is crossed the video information that vehicle driving registering instrument (or with intelligent terminals such as the smart mobile phones of video collect function) is collected and identify acquisition or gather by artificial input method; Described psychological condition information comprises psychological stress degree and fears degree, psychological condition information can by nervous, loosen and be divided into 3～7 kinds of states between the two, and selected by user; Described physiological characteristic information comprises blood pressure, heart rate and dermatopolyneuritis, and physiological characteristic information exchange crosses multiple tracks physiologic information instrument or intelligent bracelet obtains; Described road accident processing requirements and method comprise target and the road accident treatment measures that user will reach road accident processing.
Further, as shown in Figure 2, described server is processed by the data message receiving and the process of definite Highway accident blackspot comprises the following steps:
S301, carries out Primary Stage Data processing to the data message gathering: by psychological condition data turn over number word format preservation, extract keyword and keyword is converted to digital format and preserve from text description;
S302, determines Highway accident blackspot candidate point: according to the positional information in every data message record, by relevant position and be summed up as an accident black-spot candidate point around, determine the state of aggregation of accident black-spot candidate point;
S303, determine the order of severity of Highway accident blackspot candidate point: relevant psychological condition and the physiological characteristic situation of every data message record to Highway accident blackspot candidate point gather, remove the highest 10% and minimum 10%, getting its record of middle 80% averages, and in conjunction with corresponding road alignment and environmental information, represent the order of severity of Highway accident blackspot by its summation;
S304, utilizes the method for step S303 further to segment according to the time of record the order of severity of determining Highway accident blackspot to Highway accident blackspot;
S305, utilizes the method for step S303 Highway accident blackspot to be segmented to the order of severity of determining Highway accident blackspot according to meteorological condition;
S306, the comprehensive above-mentioned disposition of Highway accident blackspot is sorted to distribution and the order of severity of Highway accident blackspot in certain section of road or whole road network, thus determine the priority processing rank of Highway accident blackspot.
Below in conjunction with Fig. 3, specific embodiment of the invention process is described.The users such as traffic participant and traffic administration person pass through smart mobile phone, net book, the terminal devices such as computing machine or special hand-held terminal by with the place of Highway accident blackspot, roadway characteristic, road environment factor, main unsafe factor is uploaded to the database server of data center in the psychology physiological information of the relevant information of interior road and traffic participant self and the method for accident black-spot processing etc. with road photo etc., thereby by database server, data are integrated to processing, finally be shown to masses and expert, and masses and expert also can submit disposal route to by all information, finally need place to be processed and disposal route by expert according to above information decision accident black-spot.
As shown in Figure 3, suppose that traffic participant 101 is through in roads when certain section, find that traffic hazard easily occurs in this section, or almost there is traffic hazard, can describe out by the psychological condition when through this place, by terminal 201(as by smart mobile phone APP) be input in the database server 301 of data center, also can be taken pictures in this section simultaneously, if there is also entry terminal 201 in the lump of other physical signs, terminal 201 is uploaded to the gps data of above-mentioned data and mobile phone the database server 301 of data center, if traffic participant 101 has the method for processing these accident black-spots also in the lump in entry terminal 201.If now comprised the related data about this place in the database server 301 of data center in addition, can show by terminal 201, traffic participant 101 also can simply be quoted, increase and perfect information, or button click represents also to have same requirements.
Traffic participant 201 also can be in by terminal 211, as computing machine etc., the information of former input is carried out perfect, also can study the information in other places in the database server of data center 301 simultaneously, proposes the method for suitable minimizing accident.
Expert 401 and masses 501,511 etc. can study the more road accident place of demand in the database server 301 of data center by terminal 221, and propose corresponding solution, are updated in the database server 301 of data center.
Give the different authorities such as different traffic participant 101, traffic administration person 301, expert 401 and masses 501 by program, it can only be contacted and own relevant information.
The above is the preferred embodiment of the present invention, for those skilled in the art, under the premise without departing from the principles of the invention, can also make some improvements and modifications, and these improvements and modifications are also regarded as protection scope of the present invention.
Claims (8)
1. utilize mass-rent to find and process a method for Highway accident blackspot, it is characterized in that: comprise the following steps:
S1, user gathers the data message relevant to road accident, and the described data message relevant to road accident comprises: the subjective description information of road accident positional information, road alignment and environmental information, psychological condition, the objective data information of physiological characteristic and road accident processing requirements and method;
S2, user is uploaded to the data message of collection by terminal device the database server of data center;
S3, database server is processed and definite Highway accident blackspot the data message receiving;
S4, determines the processing sequence of Highway accident blackspot according to the distribution of Highway accident blackspot and the order of severity;
S5, issues definite Highway accident blackspot information.
2. a kind of method of utilizing mass-rent to find and process Highway accident blackspot according to claim 1, is characterized in that: further comprising the steps of:
S6, user comments on, submits to for the Highway accident blackspot information of issuing and revises and supplementary data information or submission Highway accident blackspot treatment measures;
S7, database server real-time release is upgraded Highway accident blackspot information.
3. a kind of method of utilizing mass-rent to find and process Highway accident blackspot according to claim 1 and 2, it is characterized in that: described road accident positional information comprises longitude and the latitude of road accident position, road accident positional information positioned or chose on web map road accident position method by having the mobile device of GPS function gathers; Described road alignment information comprises the straight-line segment of road accident position, long straight-line segment, intersection and radius-of-curvature, and road alignment information exchange is crossed photograph and manual input method gathers; Described road environment information comprises condition of road surface, means of transportation, geomorphological features, meteorological condition and traffic flow, and road environment information exchange is crossed the video information of collecting to vehicle driving registering instrument or with the terminal device of video collect function and identified acquisition or gather by artificial input method; Described psychological condition information comprises psychological stress degree and fears degree, psychological condition information can by nervous, loosen and be divided into 3～7 kinds of states between the two, and selected by user; Described physiological characteristic information comprises blood pressure, heart rate and dermatopolyneuritis, and physiological characteristic information exchange crosses multiple tracks physiologic information instrument or intelligent bracelet obtains; Described road accident processing requirements and method comprise target and the road accident treatment measures that user will reach road accident processing.
4. a kind of method of utilizing mass-rent to find and process Highway accident blackspot according to claim 1 and 2, is characterized in that: described user comprises traffic participant, traffic administration person and traffic safety expert.
5. a kind of method of utilizing mass-rent to find and process Highway accident blackspot according to claim 1 and 2, is characterized in that: described terminal device comprises smart mobile phone, net book, computing machine or special hand-held terminal.
6. a kind of method of utilizing mass-rent to find and process Highway accident blackspot according to claim 1 and 2, is characterized in that: described server is processed by the data message receiving and the process of definite Highway accident blackspot comprises the following steps:
The data message gathering is carried out to Primary Stage Data processing: by psychological condition data turn over number word format preservation, from text description, extract keyword and keyword is converted to digital format and preserve;
Determine Highway accident blackspot candidate point: according to the positional information in every data message record, by relevant position and be summed up as an accident black-spot candidate point around, determine the state of aggregation of accident black-spot candidate point;
Determine the order of severity of Highway accident blackspot candidate point: relevant psychological condition and the physiological characteristic situation of every data message record to Highway accident blackspot candidate point gather, remove the highest 10% and minimum 10%, getting its record of middle 80% averages, and in conjunction with corresponding road alignment and environmental information, represent the order of severity of Highway accident blackspot by its summation;
The comprehensive above-mentioned disposition of Highway accident blackspot is sorted to distribution and the order of severity of Highway accident blackspot in certain section of road or whole road network, thus determine the priority processing rank of Highway accident blackspot.
7. a kind of method of utilizing mass-rent to find and process Highway accident blackspot according to claim 6, is characterized in that: described server the data message receiving is processed and the process of definite Highway accident blackspot further comprising the steps of before the priority processing rank of determining Highway accident blackspot:
Utilize the method for the order of severity step of determining Highway accident blackspot candidate point further to segment according to the time of record the order of severity of determining Highway accident blackspot to Highway accident blackspot.
8. a kind of method of utilizing mass-rent to find and process Highway accident blackspot according to claim 6, is characterized in that: described server the data message receiving is processed and the process of definite Highway accident blackspot further comprising the steps of before the priority processing rank of determining Highway accident blackspot:
Utilize the method for the order of severity step of determining Highway accident blackspot candidate point Highway accident blackspot to be segmented to the order of severity of determining Highway accident blackspot according to meteorological condition.
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| CN104540098A (en) * | 2014-12-30 | 2015-04-22 | 深圳先进技术研究院 | Crowdsourcing-based position positioning method and system and server |
| CN105551281A (en) * | 2014-10-22 | 2016-05-04 | 福特全球技术公司 | Personalized route indices via crowd-sourced data |
| CN106144382A (en) * | 2015-04-27 | 2016-11-23 | 顺丰速运有限公司 | The method and device of express mail is searched in a kind of automated sorting machine track |
| CN106157659A (en) * | 2015-04-09 | 2016-11-23 | 腾讯科技（深圳）有限公司 | A kind of electronic eye data adding method, electronic eye managing device and system |
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| CN111161555A (en) * | 2018-11-07 | 2020-05-15 | 北京嘀嘀无限科技发展有限公司 | Information collection method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108491418A (en) * | 2018-02-06 | 2018-09-04 | 西南交通大学 | A kind of acquisition of traffic accident data informationization, management and analysis system and method |
| CN108682149A (en) * | 2018-05-21 | 2018-10-19 | 东南大学 | The linear causation analysis method in highway accident stain section based on binary logistic regression |
| CN111161555A (en) * | 2018-11-07 | 2020-05-15 | 北京嘀嘀无限科技发展有限公司 | Information collection method and system |
| CN114038187A (en) * | 2021-11-02 | 2022-02-11 | 北京红山信息科技研究院有限公司 | Road section state updating method, device, equipment and medium |
| CN114038187B (en) * | 2021-11-02 | 2022-09-30 | 北京红山信息科技研究院有限公司 | Road section state updating method, device, equipment and medium |
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