CN110375762B - Method and device for assisting in planning navigation path - Google Patents
Method and device for assisting in planning navigation path Download PDFInfo
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- CN110375762B CN110375762B CN201910744429.4A CN201910744429A CN110375762B CN 110375762 B CN110375762 B CN 110375762B CN 201910744429 A CN201910744429 A CN 201910744429A CN 110375762 B CN110375762 B CN 110375762B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3484—Personalized, e.g. from learned user behaviour or user-defined profiles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
Abstract
The invention discloses a method and a system for assisting in planning a navigation path, wherein the method comprises the following steps: s1, acquiring navigation request information of each target vehicle in a first time section; s2, acquiring the position information of the starting point and the end point of each vehicle, and acquiring the first habitual speed of each vehicle; s3, dividing the vehicles with the same first habitual speed in the preset speed interval and the same starting point and end point position information into the same route planning set; s4, acquiring a first preset route set which corresponds to each route planning set and comprises a plurality of different preset routes by matching with navigation software; s5, dividing the equal-difference hashes of all vehicles in the corresponding route planning set from more to less according to a certain rule; and S6, generating final navigation information according to the distribution result of the preset routes of the target vehicles in the corresponding first preset route set. The method can effectively relieve traffic management pressure, and can generate the navigation path for assisting in planning the most driving time by matching with the driving habit speed of the target vehicle.
Description
Technical Field
The invention relates to a navigation path planning method and device, in particular to a navigation path planning assisting method and device.
Background
With the rapid development of society, in urban life with increasingly accelerated life pace, automobiles become the tools of riding instead of walk of people more and more frequently, and various private cars greatly improve the efficiency of people going out. However, automobiles provide great pressure on traffic management while providing convenience to individuals, and often block traffic for hours in some large cities such as beijing. According to a large amount of statistical data, the congestion of a lot of roads is caused by untimely and inaccurate traffic planning, and the phenomena of few people on part of road sections and serious congestion on part of road sections often occur.
Currently, a large number of navigation devices and software are applied to various vehicles in order to facilitate a driver to reach a destination in a minimum time. The operating principle is that the navigation equipment determines the position coordinates of a specific position, and the position coordinates are matched with the position coordinates recorded in an electronic map stored by the navigation equipment, so that the accurate position of a navigation object carrying the navigation equipment in the electronic map is determined. The navigation device may be a vehicle-mounted terminal, a portable navigator, a mobile phone terminal, or the like. The navigation object may be a vehicle, a pedestrian, or the like. With the continuous progress of the technology, devices for receiving various location services such as navigation and positioning provided by a remote end (e.g., a server) are almost popularized, and after a departure place and a destination are set for a navigation object, the navigation device calculates a navigation path according to electronic map data stored in the navigation device and navigates the navigation object according to the calculated navigation path. However, most of the current navigation methods and systems only plan the route to be the shortest or the shortest time-saving, and even the method taking the congestion situation of the road section into consideration is only for a single vehicle, and the navigation method and the navigation system cannot effectively provide navigation for the single vehicle and improve the utilization rate of a plurality of roads.
Therefore, a method and a device for assisting in planning a navigation path, which can effectively relieve traffic management pressure and generate the most driving-time-saving navigation path according to the matching of the starting point and the end point of the target vehicle with the driving habit speed of the target vehicle, become necessary.
Disclosure of Invention
In order to solve the above problems, the technical solution adopted by the present invention is to provide a method for assisting in planning a navigation path, which acts on a navigation management platform, and the method includes the following steps:
s1, acquiring navigation request information of each target vehicle in a first time section, wherein the navigation request information comprises starting point and end point position information of the vehicle; s2, acquiring the position information of the starting point and the end point of each vehicle, and acquiring the first habitual speed of each vehicle; s3, equally dividing 180KM/H into 36 preset speed intervals, confirming the preset speed interval where the first habitual speed of each vehicle is located, and dividing the vehicles with the same starting point and end point position information into the same route planning set, wherein the preset speed intervals where the first habitual speed is located are the same; s4, acquiring a first preset route set which corresponds to each route planning set and comprises a plurality of different preset routes by matching with navigation software according to the position information of the starting point and the end point of each route planning set; s5, sorting the preset lines in each first preset line set according to a certain rule, further sorting the vehicles corresponding to the route planning set into the preset lines from more to less according to the sequence from the front to the back of the first preset line set sorting; and S6, generating final navigation information according to the distribution result of the preset routes of the target vehicles in the corresponding first preset route set, and sending the corresponding navigation information to the target vehicles.
Further, the first time zone in step S1 is 60S.
Further, the step S2 of "acquiring the first customary speed of each vehicle" is specifically: and calling a year navigation record of each vehicle through the navigation management platform, and taking the speed with the largest occurrence time as a first habitual speed.
Further, in step S2, when the target vehicle that issued the navigation request has no navigation record and cannot acquire the first habitual speed, the first habitual speed is set to 60 KM/H.
Further, step S5 specifically includes: s51, preliminarily sorting the preset lines in the first preset line set from short to long according to the length, and giving a first sorting value N1 corresponding to the sorting sequence to each preset line; s52, acquiring the road congestion coefficients of all preset lines in the current time period, sorting the road congestion coefficients in the descending order of the road congestion coefficients, and giving a second sorting value N2 corresponding to the sorting order to each preset line; s53, adding the second sorting value N2 of each preset line in the first preset line set and the first sorting value N1 to obtain a total sorting coefficient N corresponding to each preset line; and S54, sequencing the preset lines in the corresponding first preset line set according to the sequence of the total sequencing coefficient N from small to large, and dividing the target vehicles in the corresponding route planning set into the preset lines from more to less according to the sequence of the sequencing from front to back according to the arithmetic hash.
Further, in step S54, "further divide the target vehicles in the corresponding route planning set into the preset routes from more to less according to the equal-difference hash in the order from front to back", the order in which the target vehicles are divided into the preset routes is sequentially divided from the priority to the back of the navigation request information of the target vehicle, and the target vehicles sending the navigation information are preferentially distributed into the preset routes.
The invention also provides a device which is used for acting on the navigation management platform and is used for realizing the method. The system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for acquiring navigation request information sent by each target vehicle in a first time section; the acquisition unit can extract the first habitual speed of the target vehicle from the database according to the number of the target vehicle of the sent navigation request information; the first processing unit is used for dividing the vehicles into different route planning sets according to the first habitual speed, the starting point and the end point position information of each vehicle; the first path generation unit is used for acquiring a first preset line set which corresponds to each route planning set and comprises a plurality of different preset lines according to the position information of the starting point and the end point of each route planning set; the second processing unit is used for sequencing the preset lines in each first preset line set according to a certain rule, and further dividing each target vehicle in the corresponding route planning set into each preset line from more to less according to the sequence from front to back of the sequencing; and the navigation information generating unit is used for generating final navigation information according to the distribution result of the preset lines of each target vehicle in the corresponding first preset line set, and sending the corresponding navigation information to each target vehicle.
The invention can quickly distribute each vehicle which sends out the navigation request to the corresponding route planning set in the appointed first time section. Because the starting point and the end point of the vehicles in the same route planning set are close to each other, and the first habitual speed is close to each other, the phenomenon of congestion due to mutual interference is most likely to occur, and the vehicles meeting the conditions are classified into the same category. The method sequences the preset lines in the route planning set according to the length and the congestion coefficient, and sequentially divides the preset lines into the vehicles according to the sequence of the navigation request information of the target vehicles, so that the congestion condition of urban traffic can be effectively reduced while the driving route of each target vehicle is convenient. The invention can effectively relieve traffic management pressure and generate the navigation path with the most driving time saving assistance according to the matching of the starting point and the end point of the target vehicle and the driving habit speed of the target vehicle.
Drawings
FIG. 1 is a general flow chart of a method of assisting in planning a navigation path in accordance with the present invention;
FIG. 2 is a flowchart of step S5 of a method for assisting in planning a navigation path according to the present invention;
FIG. 3 is an information interaction diagram of each unit of an apparatus for assisting in planning a navigation path according to the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention and/or the technical solutions in the prior art, the following description will explain specific embodiments of the present invention with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort. In addition, the term "orientation" merely indicates a relative positional relationship between the respective members, not an absolute positional relationship.
As shown in fig. 1 or 3, the main action object of the invention is a navigation management platform, and the traffic management platform generates and classifies the route of the target vehicle sending the navigation request information, so as to effectively alleviate the traffic jam problem while navigating each vehicle.
The method provided by the invention specifically comprises the following steps:
and S1, acquiring navigation request information of each target vehicle in the first time section, wherein the navigation request information comprises the starting point and the end point position information of the vehicle.
In the invention, the first time zone is preferably 60s, and the setting mode can effectively ensure the timeliness of the extracted navigation request information. Too short a time setting may severely disturb the subsequent routing of the respective target vehicle in the method.
And S2, acquiring the information of the starting point and the ending point of each vehicle, and acquiring the first habitual speed of each vehicle. The "acquiring the first habitual speed of each vehicle" specifically includes: and calling a year navigation record of each vehicle through the navigation management platform, and taking the speed with the largest occurrence time as a first habitual speed. However, if the vehicle does not have a corresponding navigation system before, or the traffic control department does not have past driving data of the vehicle, the first habitual speed is set to 60KM/H for the requirements of safety and traffic control. Of course, different cities can set this value according to their respective environments, for example, 70KM/H in Xinjiang, and mountain cities can be set to a lower value.
And S3, equally dividing 180KM/H into 36 preset speed intervals, confirming the preset speed interval in which the first habitual speed of each vehicle is positioned, and dividing the vehicles with the same starting point and end point position information into the same route planning set, wherein the preset speed intervals in which the first habitual speed is positioned are the same.
Since the first customary speed of the motor vehicle is more or less subject to deviations, the target vehicle is divided according to the preset speed interval in the manner described above for the motor vehicle. Because the starting point and the end point of the vehicles in the same route planning set are close to each other, the first habitual speed is most likely to interfere with each other to cause congestion, and therefore the vehicles with the same starting point and the same end point position information are divided together, wherein the first habitual speed is in the same preset speed interval.
And S4, acquiring a first preset route set which corresponds to each route planning set and comprises a plurality of different preset routes by matching with navigation software according to the position information of the starting point and the end point of each route planning set.
The invention mainly relates to a method for assisting in planning navigation paths, so that a navigation management platform can generate a plurality of lines firstly according to navigation software and a database, and the method is similar to a multi-path setting mode of a Gaudi map. In real life, the navigation software can generate a plurality of recommended lines according to the starting point and the end point, the specific execution steps can refer to the existing high-altitude navigation software, and the generation of the recommended lines is not the innovation point of the invention. In the invention, the optimal recommended routes are collected and further integrated into a first preset route set, so that the planning of the routes of all target vehicles is assisted to reduce traffic pressure.
And S5, sequencing the preset lines in each first preset line set in the respective first preset line set according to a certain rule, and further dividing each vehicle corresponding to the route planning set into each preset line from more to less according to the sequence from the front to the back of the first preset line set sequencing.
As shown in fig. 2, step S5 further includes the following sub-steps: s51, preliminarily sorting the preset lines in the first preset line set from short to long according to the length, and giving a first sorting value N1 corresponding to the sorting sequence to each preset line; s52, acquiring the road congestion coefficients of all preset lines in the current time period, sorting the road congestion coefficients in the descending order of the road congestion coefficients, and giving a second sorting value N2 corresponding to the sorting order to each preset line; s53, adding the second sorting value N2 of each preset line in the first preset line set and the first sorting value N1 to obtain a total sorting coefficient N corresponding to each preset line; and S54, sequencing the preset lines in the corresponding first preset line set according to the sequence of the total sequencing coefficient N from small to large, and dividing the target vehicles in the corresponding route planning set into the preset lines from more to less according to the sequence of the sequencing from front to back according to the arithmetic hash.
Since each preset route bears a great deal of traffic pressure when too many vehicles are born, the vehicles need to be divided into the preset routes. The invention mainly adopts a division mode of arithmetic hashing from more to less, for example, 5 roads and 300 target vehicles are provided, and each preset route is divided into 100, 80, 60, 40 and 20 vehicles from front to back according to the sequence.
In addition, the road congestion coefficient or traffic congestion index in step S52 of the present invention is a conceptual numerical value that comprehensively reflects the smooth or congested road network and is originated in beijing city, and is referred to as traffic index for short. The traffic index value range is 0 to 10, each 2 grades correspond to five grades of 'unblocked', 'basically unblocked', 'light jammed', 'medium jammed' and 'severe jammed', and the higher the value is, the more serious the traffic jam condition is. The existing navigation or map software cooperates with a government traffic management department, and the road congestion coefficients of all road sections in all cities are recorded into a database according to statistical data, but the road congestion coefficients of all preset lines can be obtained through the data of the traffic management department, the congestion coefficients of all road sections of the preset lines are extracted, the congestion coefficients of all road sections of the preset lines are divided by the length of the road sections of the preset lines to obtain unit congestion coefficients, and finally the unit congestion coefficients of all road sections are added to obtain the road congestion coefficients of the preset lines.
And in the process of uniformly dividing each target vehicle in the corresponding route planning set into each preset route, for the sake of fairness, the sequence of dividing the target vehicles into the preset routes is divided in sequence according to the sequence of acquiring the navigation request information of the target vehicles. And if a plurality of vehicles send navigation request information in the first time section, and the vehicle is received firstly, the vehicle is preferentially distributed to the optimal path.
And S6, generating final navigation information according to the distribution result of the preset routes of the target vehicles in the corresponding first preset route set, and sending the corresponding navigation information to the target vehicles.
The method can effectively reduce the congestion condition of urban traffic while ensuring that each target vehicle drives the route conveniently.
Fig. 3 is an information interaction diagram of units of an apparatus for assisting in planning a navigation path.
The invention also provides a device for realizing the method, and the device is arranged on the navigation management platform.
The system mainly comprises a receiving unit, a navigation request information acquisition unit and a navigation request information acquisition unit, wherein the navigation request information acquisition unit is used for acquiring the navigation request information sent by each target vehicle in a first time section.
And the acquisition unit can extract the first habitual speed of the target vehicle from the database according to the number of the target vehicle of the sent navigation request information.
The first processing unit is used for dividing the vehicles into different route planning sets according to the first habitual speed, the starting point and the end point position information of each vehicle.
And the first path generating unit is used for acquiring a first preset line set which corresponds to each route planning set and comprises a plurality of different preset lines according to the position information of the starting point and the end point of each route planning set. The first path generation unit mainly works in cooperation with navigation software and a database of the navigation management platform.
And the second processing unit is used for sequencing the preset lines in each first preset line set according to a certain rule, and further dividing each vehicle in the corresponding route planning set into each preset line according to the sequence from front to back according to the arithmetic hash.
And the navigation information generating unit is used for generating final navigation information according to the distribution result of the preset lines of each target vehicle in the corresponding first preset line set, and sending the corresponding navigation information to each target vehicle.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (6)
1. A method for assisting in planning a navigation path, for use in a navigation management platform, comprising the steps of: s1, acquiring navigation request information of each target vehicle in a first time section, wherein the navigation request information comprises starting point and end point position information of the vehicle; s2, acquiring the position information of the starting point and the end point of each vehicle, and acquiring the first habitual speed of each vehicle; s3, equally dividing 180KM/H into 36 preset speed intervals, confirming the preset speed interval where the first habitual speed of each vehicle is located, and dividing the vehicles with the same starting point and end point position information into the same route planning set, wherein the preset speed intervals where the first habitual speed is located are the same; s4, acquiring a first preset route set which corresponds to each route planning set and comprises a plurality of different preset routes by matching with navigation software according to the position information of the starting point and the end point of each route planning set; s5, sorting the preset lines in each first preset line set according to a certain rule, further sorting the vehicles corresponding to the route planning set into the preset lines from more to less according to the sequence from the front to the back of the first preset line set sorting; s6, generating final navigation information according to the distribution result of the preset routes of the target vehicles in the corresponding first preset route set, and sending the corresponding navigation information to the target vehicles;
wherein, step S5 specifically includes: s51, preliminarily sorting the preset lines in the first preset line set from short to long according to the length, and giving a first sorting value N1 corresponding to the sorting sequence to each preset line; s52, acquiring the road congestion coefficients of all preset lines in the current time period, sorting the road congestion coefficients in the descending order of the road congestion coefficients, and giving a second sorting value N2 corresponding to the sorting order to each preset line; s53, adding the second sorting value N2 of each preset line in the first preset line set and the first sorting value N1 to obtain a total sorting coefficient N corresponding to each preset line; and S54, sequencing the preset lines in the corresponding first preset line set according to the sequence of the total sequencing coefficient N from small to large, and dividing the target vehicles in the corresponding route planning set into the preset lines from more to less according to the sequence of the sequencing from front to back according to the arithmetic hash.
2. A method of assisting in planning a navigation path as set forth in claim 1, wherein: the first time zone in step S1 is 60S.
3. The method for assisting planning of a navigation path according to claim 1, wherein the step S2 of obtaining the first customary speed of each vehicle includes: and calling a year navigation record of each vehicle through the navigation management platform, and taking the speed with the largest occurrence time as a first habitual speed.
4. The method of claim 3, wherein in step S2, when the target vehicle sending the navigation request has no navigation record and cannot obtain the first customary speed, the first customary speed is set to 60 KM/H.
5. The method for assisting in planning a navigation path according to claim 1, wherein in step S54, further dividing the target vehicles in the corresponding route planning set into the preset routes according to the sequence from front to back according to the arithmetic hashing from more than one to less than one, the sequence in which the target vehicles are divided into the preset routes is divided according to the priority of obtaining the navigation request information of the target vehicles to the later, and the target vehicles sending the navigation information are firstly preferentially allocated to the preset routes.
6. An apparatus that facilitates planning a navigation path, comprising: the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for acquiring navigation request information sent by each target vehicle in a first time section; the acquisition unit is used for extracting a first habitual speed of the target vehicle from the database according to the number of the target vehicle of the sent navigation request information; the first processing unit is used for dividing the vehicles into different route planning sets according to the first habitual speed, the starting point and the end point position information of each vehicle; the first path generation unit is used for acquiring a first preset line set which corresponds to each route planning set and comprises a plurality of different preset lines according to the position information of the starting point and the end point of each route planning set; the second processing unit is used for sequencing the preset lines in each first preset line set according to a certain rule, and further dividing each vehicle in the corresponding route planning set into each preset line according to the sequence from front to back according to the arithmetic hash; the navigation information generating unit is used for generating final navigation information according to the distribution result of the preset lines of each target vehicle in the corresponding first preset line set and sending the corresponding navigation information to each target vehicle;
wherein the second processing unit further comprises: s51, preliminarily sorting the preset lines in the first preset line set from short to long according to the length, and giving a first sorting value N1 corresponding to the sorting sequence to each preset line; s52, acquiring the road congestion coefficients of all preset lines in the current time period, sorting the road congestion coefficients in the descending order of the road congestion coefficients, and giving a second sorting value N2 corresponding to the sorting order to each preset line; s53, adding the second sorting value N2 of each preset line in the first preset line set and the first sorting value N1 to obtain a total sorting coefficient N corresponding to each preset line; and S54, sequencing the preset lines in the corresponding first preset line set according to the sequence of the total sequencing coefficient N from small to large, and dividing the target vehicles in the corresponding route planning set into the preset lines from more to less according to the sequence of the sequencing from front to back according to the arithmetic hash.
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| CN111896011B (en) * | 2020-06-18 | 2023-03-07 | 展讯通信（上海）有限公司 | Method and system for planning navigation path of drive test |
| CN113593240B (en) * | 2021-09-28 | 2021-12-21 | 湖南车路协同智能科技有限公司 | Vehicle path planning method and system for vehicle-road cooperation |
| CN117151576B (en) * | 2023-10-30 | 2024-01-09 | 青岛宇方机器人工业股份有限公司 | Logistics vehicle dispatching management system and method |
| CN117191067B (en) * | 2023-11-07 | 2024-02-06 | 杭州一喂智能科技有限公司 | Travel route planning method, device, electronic equipment and computer readable medium |
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