CN111127935A - Bus dispatching path analysis method and system - Google Patents
Bus dispatching path analysis method and system Download PDFInfo
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- CN111127935A CN111127935A CN201911279037.1A CN201911279037A CN111127935A CN 111127935 A CN111127935 A CN 111127935A CN 201911279037 A CN201911279037 A CN 201911279037A CN 111127935 A CN111127935 A CN 111127935A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096877—Systems involving transmission of navigation instructions to the vehicle where the input to the navigation device is provided by a suitable I/O arrangement
- G08G1/096883—Systems involving transmission of navigation instructions to the vehicle where the input to the navigation device is provided by a suitable I/O arrangement where input information is obtained using a mobile device, e.g. a mobile phone, a PDA
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Abstract
The invention discloses a bus dispatching path analysis method and a system, wherein the deviation degree of a first simulation path and a current bus running path is calculated in real time in navigation as a first deviation degree, a navigation route which is prestored in a database and comprises a sensitive point is read as a second simulation path, the deviation degree of the second simulation path and the current bus running path is calculated as a second deviation degree, and when the time that the first deviation degree is greater than a deviation threshold value is less than N minutes or the time that the second deviation degree is less than the deviation threshold value is less than N minutes, an alarm is pushed to a mobile device; the distance between the bus and the current sensitive point can be accurately positioned and intelligently judged, whether the bus violates the rule or not can be immediately judged when a preset risk occurs, early warning information is efficiently pushed to the mobile equipment end in real time, and the calculation cost of the server end is reduced.
Description
Technical Field
The disclosure relates to the technical field of big data, positioning, navigation and intelligent scheduling, in particular to a bus scheduling path analysis method and system.
Background
In most of the existing bus (service vehicle) dispatching path management systems, a real-time bus dispatching live module or a bus route tracking module can be used for inquiring and tracking the location and path information of a bus at any time, and an administrator can also allocate the bus according to a real-time path generated by a navigation system at any time according to a GPS (global positioning system) or Beidou positioning module of the bus.
Disclosure of Invention
The utility model provides a bus dispatch route analysis method and system, calculate first simulation route and current bus route degree of deviation in real time as first degree of deviation in navigating, and read the navigation route including sensitive point that prestores in the database and be regarded as second simulation route, calculate second simulation route and current bus route degree of deviation as second degree of deviation, when the time that first degree of deviation is greater than the deviation threshold is less than N minutes or the time that second degree of deviation is less than the deviation threshold is less than N minutes, send the alarm to the mobile device.
In order to achieve the above object, according to an aspect of the present disclosure, there is provided a bus dispatching path analyzing method, the method including the steps of:
s100, marking all the passing points and the sensitive points on a map;
s200, generating a navigation route comprising the passing points as a first simulation route through route navigation types;
s300, calculating the deviation degree of the first simulation path and the current bus running path in real time in the navigation process as a first deviation degree, reading a navigation path which is prestored in a database and comprises sensitive points as a second simulation path, and calculating the deviation degree of the second simulation path and the current bus running path as a second deviation degree;
s400, when the time that the first deviation degree is larger than the deviation threshold value is smaller than N minutes or the time that the second deviation degree is smaller than the deviation threshold value is smaller than N minutes, an alarm is pushed to the mobile device.
Further, in S100, the passing point is a point that needs to pass along the way, and the sensitive point is a point that needs to avoid passing and is a coordinate point marked on the map.
Further, in S200, the route navigation class is any one of a path planning method such as a path planning API of a Baidu map, a path planning API of a Goodpasture map, a secant plane method, a branch and bound method, and a dynamic planning method.
Further, in S300, the database includes path data of a plurality of navigation routes including the sensitive point.
Further, in S300, the bus is provided with a GPS or beidou positioning and navigation device.
Further, in S300, the method for calculating the deviation degree between the first simulated route and the current bus driving route as the first deviation degree in real time during navigation is that when the point on the first simulated route closest to the coordinates of the current bus driving route is (x)1,y1) The current coordinate of the bus running path is (x)2,y2) Then the first degree of deviation is:
further, in S300, reading the navigation route including the sensitive point pre-stored in the database as a second simulation route, and calculating a deviation degree between the second simulation route and the current bus driving route as a second deviation degree, the method includes:
the deviation degree of the current bus driving path is S, and the navigation route including the sensitive points pre-stored in the database is SiI is 1 … n, n is the number of navigation route data including sensitive points in the database, and S are usediCalculating the degree of deviation between the paths by the distance between the paths, and comparing S with SiThe degree of deviation between is defined as: dist (S, S)i)＝1-Sim(S,Si) Wherein, Sim (S, S)i) Denotes S and SiThe degree of similarity of (a) to (b),
wherein, the weight w of the close pathijThe calculation method is that the passing point and the sensitive point in the S are point, SiThe pass point and the sensitive point in (1) are pointj，freqi,jRepresenting pointjS in a databaseiFrequency of occurrence, j represents the passing point and the sensitive point at SiThe j-th occurrence in the path is the weight w of the similar pathijThe value of (A) is that,
wherein m isi,jRepresenting the expected average value of j in each path in the database at the pass point and the sensitive point marked as i,
wherein: freq is the frequency of point appearance at S, freqi,jRepresenting pointjAt SiThe frequency of occurrence;
wherein the similarity Sim (S, S)i)∈[0,1]So that S and SiThe value range of the deviation degree is the interval [0,1 ]]The smaller the deviation degree is, the higher the similarity degree between the navigation route including the sensitive point and the actual driving route of the bus prestored in the database is.
Further, in S400, N is set to a default value of 15 minutes, N is an integer greater than or equal to 0, and the setting may be manually adjusted.
Further, in S400, the deviation threshold is 0.2 or an average value of the first deviation degree and the second deviation degree, and the deviation threshold may be manually adjusted and set within a range of 0 to 1.
Further, in S400, the method for pushing the alert to the mobile device is as follows: and sending alarm information to a mobile phone, a tablet personal computer and an industrial PDA through instant information, wherein the alarm information comprises sensitive point information and residence time which are closest to the current bus in the first simulation path or the second simulation path.
The invention also provides a bus dispatching path analysis system, which comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in the units of the following system:
the map node marking unit is used for marking all the passing points and the sensitive points on the map;
the simulation path generation unit is used for generating a navigation route comprising a passing point as a first simulation path through a route navigation class;
the deviation degree calculation unit is used for calculating the deviation degree between the first simulation path and the current bus running path in real time in navigation as a first deviation degree, reading a navigation route which is prestored in a database and comprises sensitive points as a second simulation path, and calculating the deviation degree between the second simulation path and the current bus running path as a second deviation degree;
and the deviation alarm unit is used for pushing an alarm to the mobile equipment when the time that the first deviation degree is greater than the deviation threshold value is less than N minutes or the time that the second deviation degree is less than the deviation threshold value is less than N minutes.
The beneficial effect of this disclosure does: the invention provides a bus dispatching path analysis method and system, which can accurately position and intelligently judge the distance between a bus and a current sensitive point, can immediately judge whether a bus violates a rule or not when a preset risk occurs, and can efficiently push early warning information to a mobile equipment end in real time, thereby reducing the calculation overhead of a server end.
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The foregoing and other features of the present disclosure will become more apparent from the detailed description of the embodiments shown in conjunction with the drawings in which like reference characters designate the same or similar elements throughout the several views, and it is apparent that the drawings in the following description are merely some examples of the present disclosure and that other drawings may be derived therefrom by those skilled in the art without the benefit of any inventive faculty, and in which:
FIG. 1 is a flow chart of a bus dispatching path analysis method;
fig. 2 is a structural diagram of a bus dispatching path analysis system.
Detailed Description
The conception, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and the accompanying drawings to fully understand the objects, aspects and effects of the present disclosure. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Referring to fig. 1, a flowchart of a bus dispatching path analysis method according to the present disclosure is shown, and a bus dispatching path analysis method according to an embodiment of the present disclosure is described below with reference to fig. 1.
The disclosure provides a bus dispatching path analysis method, which specifically comprises the following steps:
s100, marking all the passing points and the sensitive points on a map;
s200, generating a navigation route comprising the passing points as a first simulation route through route navigation types;
s300, calculating the deviation degree of the first simulation path and the current bus running path in real time in the navigation process as a first deviation degree, reading a navigation path which is prestored in a database and comprises sensitive points as a second simulation path, and calculating the deviation degree of the second simulation path and the current bus running path as a second deviation degree;
s400, when the time that the first deviation degree is larger than the deviation threshold value is smaller than N minutes or the time that the second deviation degree is smaller than the deviation threshold value is smaller than N minutes, an alarm is pushed to the mobile device.
Further, in S100, the passing point is a point that needs to be passed along the way, and the sensitive point is a point that needs to be avoided from being passed.
Further, in S200, the route navigation class is any one of a path planning method such as a path planning API of a Baidu map, a path planning API of a Goodpasture map, a secant plane method, a branch and bound method, and a dynamic planning method.
Further, in S300, the database includes path data of a plurality of navigation routes including the sensitive point.
Further, in S300, the bus is provided with a GPS or beidou positioning and navigation device.
Further, in S300, the method for calculating the deviation degree between the first simulated route and the current bus driving route as the first deviation degree in real time during navigation is that when the point on the first simulated route closest to the coordinates of the current bus driving route is (x)1,y1) The current coordinate of the bus running path is (x)2,y2) Then the first degree of deviation is:
further, in S300, reading the navigation route including the sensitive point pre-stored in the database as a second simulation route, and calculating a deviation degree between the second simulation route and the current bus driving route as a second deviation degree, the method includes:
the deviation degree of the current bus driving path is S, and the navigation route including the sensitive points pre-stored in the database is SiI is 1 … n, n is the number of navigation route data including sensitive points in the database, and S are usediCalculating the degree of deviation between the paths by the distance between the paths, and comparing S with SiThe degree of deviation between is defined as: dist (S, S)i)＝1-Sim(S,Si) Wherein, Sim (S, S)i) Denotes S and SiThe degree of similarity of (a) to (b),
wherein, the weight w of the close pathijThe calculation method is that the passing point and the sensitive point in the S are point, SiThe pass point and the sensitive point in (1) are pointj，freqi,jRepresenting pointjS in a databaseiFrequency of occurrence, j represents the passing point and the sensitive point at SiThe j-th occurrence in the path is the weight w of the similar pathijThe value of (A) is that,
wherein m isi,jRepresenting the expected average value of j in each path in the database at the pass point and the sensitive point marked as i,
wherein: freq is the frequency of point appearance at S, freqi,jRepresenting pointjAt SiThe frequency of occurrence;
wherein the similarity Sim (S, S)i)∈[0,1]So that S and SiThe value range of the deviation degree is the interval [0,1 ]]The smaller the deviation degree is, the higher the similarity degree between the navigation route including the sensitive point and the actual driving route of the bus prestored in the database is.
Further, in S400, N is set to a default value of 15 minutes, N is an integer greater than or equal to 0, and the setting may be manually adjusted.
Further, in S400, the deviation threshold is 0.2 or an average value of the first deviation degree and the second deviation degree, and the deviation threshold may be manually adjusted and set within a range of 0 to 1.
Further, in S400, the method for pushing the alert to the mobile device is as follows: and sending alarm information to a mobile phone, a tablet personal computer and an industrial PDA through instant information, wherein the alarm information comprises sensitive point information and residence time which are closest to the current bus in the first simulation path or the second simulation path.
A bus dispatching path analysis system provided in an embodiment of the present disclosure is a structure diagram of the bus dispatching path analysis system according to the present disclosure as shown in fig. 2, and the bus dispatching path analysis system of the embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor implementing the steps in one embodiment of the bus dispatching path analysis system described above when executing the computer program.
The system comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in the units of the following system:
the map node marking unit is used for marking all the passing points and the sensitive points on the map;
the simulation path generation unit is used for generating a navigation route comprising a passing point as a first simulation path through a route navigation class;
the deviation degree calculation unit is used for calculating the deviation degree between the first simulation path and the current bus running path in real time in navigation as a first deviation degree, reading a navigation route which is prestored in a database and comprises sensitive points as a second simulation path, and calculating the deviation degree between the second simulation path and the current bus running path as a second deviation degree;
and the deviation alarm unit is used for pushing an alarm to the mobile equipment when the time that the first deviation degree is greater than the deviation threshold value is less than N minutes or the time that the second deviation degree is less than the deviation threshold value is less than N minutes.
The bus dispatching path analysis system can be operated in computing equipment such as desktop computers, notebooks, palm computers and cloud servers. The bus dispatching path analysis system can be operated by a system comprising, but not limited to, a processor and a memory. Those skilled in the art will appreciate that the example is merely an example of a bus dispatching path analysis system, and does not constitute a limitation of a bus dispatching path analysis system, and may include more or less components than a proportion, or combine certain components, or different components, for example, the bus dispatching path analysis system may also include input and output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. The general processor can be a microprocessor or the processor can be any conventional processor and the like, the processor is a control center of the bus dispatching path analysis system operation system, and various interfaces and lines are utilized to connect various parts of the whole bus dispatching path analysis system operable system.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the bus dispatching path analysis system by running or executing the computer programs and/or modules stored in the memory and invoking the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
While the present disclosure has been described in considerable detail and with particular reference to a few illustrative embodiments thereof, it is not intended to be limited to any such details or embodiments or any particular embodiments, but it is to be construed as effectively covering the intended scope of the disclosure by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the disclosure in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the disclosure, not presently foreseen, may nonetheless represent equivalent modifications thereto.
Claims (6)
1. A bus dispatching path analysis method is characterized by comprising the following steps:
s100, marking all the passing points and the sensitive points on a map;
s200, generating a navigation route comprising the passing points as a first simulation route through route navigation types;
s300, calculating the deviation degree of the first simulation path and the current bus running path in real time in the navigation process as a first deviation degree, reading a navigation path which is prestored in a database and comprises sensitive points as a second simulation path, and calculating the deviation degree of the second simulation path and the current bus running path as a second deviation degree;
s400, when the time that the first deviation degree is larger than the deviation threshold value is smaller than N minutes or the time that the second deviation degree is smaller than the deviation threshold value is smaller than N minutes, an alarm is pushed to the mobile device.
2. The bus dispatching path analysis method according to claim 1, wherein in S200, the route navigation class is any one of a path planning method such as a path planning API of a Baidu map, a path planning API of a Goodpasture map, a secant plane method, a branch-and-bound method, and a dynamic planning method.
3. The method for analyzing the bus dispatching path according to claim 1, wherein in step S300, the deviation degree between the first simulated path and the current bus driving path is calculated as the first deviation degree in real time during navigation, when the point on the first simulated path closest to the coordinates of the current bus driving path is (x)1,y1) The current coordinate of the bus running path is (x)2,y2) Then the first degree of deviation is:
4. the method for analyzing the bus dispatching path according to claim 1, wherein in S300, the navigation route including the sensitive point pre-stored in the database is read as the second simulation path, and the method for calculating the deviation degree between the second simulation path and the current bus driving path as the second deviation degree comprises:
the deviation degree of the current bus driving path is S, and the navigation route including the sensitive points pre-stored in the database is SiI is 1 … n, n is the number of navigation route data including sensitive points in the database, and S are usediCalculating the degree of deviation between the paths by the distance between the paths, and comparing S with SiThe degree of deviation between is defined as: dist (S, S)i)＝1-Sim(S,Si) Wherein, Sim (S, S)i) Denotes S and SiThe degree of similarity of (a) to (b),
wherein, the weight w of the close pathijThe calculation method is that the passing point and the sensitive point in the S are point, SiThe pass point and the sensitive point in (1) are pointj，freqi,jRepresenting pointjS in a databaseiFrequency of occurrence, j represents the passing point and the sensitive point at SiThe j-th occurrence in the path is the weight w of the similar pathijThe value of (A) is that,
wherein m isi,jRepresenting the expected average value of j in each path in the database at the pass point and the sensitive point marked as i,
wherein: freq is the frequency of point appearance at S, freqi,jRepresenting pointjAt SiThe frequency of occurrence;
wherein the similarity Sim (S, S)i)∈[0,1]So that S and SiOf (2)The value range of the difference is an interval [0,1 ]]The smaller the deviation degree is, the higher the similarity degree between the navigation route including the sensitive point and the actual driving route of the bus prestored in the database is.
5. The bus dispatching path analysis method of claim 1, wherein in S400, the method for pushing the alarm to the mobile device is as follows: and sending alarm information to a mobile phone, a tablet personal computer and an industrial PDA through instant information, wherein the alarm information comprises sensitive point information and residence time which are closest to the current bus in the first simulation path or the second simulation path.
6. A bus dispatching path analysis system, the system comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in the units of the following system:
the map node marking unit is used for marking all the passing points and the sensitive points on the map;
the simulation path generation unit is used for generating a navigation route comprising a passing point as a first simulation path through a route navigation class;
the deviation degree calculation unit is used for calculating the deviation degree between the first simulation path and the current bus running path in real time in navigation as a first deviation degree, reading a navigation route which is prestored in a database and comprises sensitive points as a second simulation path, and calculating the deviation degree between the second simulation path and the current bus running path as a second deviation degree;
and the deviation alarm unit is used for pushing an alarm to the mobile equipment when the time that the first deviation degree is greater than the deviation threshold value is less than N minutes or the time that the second deviation degree is less than the deviation threshold value is less than N minutes.
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