CN113393055B - Pretreatment and use method of truck navigation along-route data - Google Patents
Pretreatment and use method of truck navigation along-route data Download PDFInfo
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- CN113393055B CN113393055B CN202110758170.6A CN202110758170A CN113393055B CN 113393055 B CN113393055 B CN 113393055B CN 202110758170 A CN202110758170 A CN 202110758170A CN 113393055 B CN113393055 B CN 113393055B
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Abstract
The invention relates to the technical field of truck navigation, and discloses a preprocessing method of truck navigation along-route restriction data, which comprises the following steps: s1: establishing a binary tree and initializing a binary tree root node; s2: inputting truck restriction data; s3: matching the truck data limit to the road section of the bottommost road network; s4: storing the matching result of the bottommost road network into a binary tree; s5: according to the matching result of the bottommost road network, the truck limited data are matched to the corresponding upper road section; s6: the matching result in the step S5 is stored in a binary tree by taking the road network level and the road section number as indexes; s7: traversing the binary tree by the middle order, and storing truck limited data corresponding to all road sections in all the level road networks into a data file A; s8: and establishing indexes for all road sections in all the hierarchical road networks, wherein the indexes comprise the corresponding truck data limiting quantity and the storage address of the truck data limiting quantity, and storing the indexes as an index file B.
Description
Technical Field
The invention relates to a truck route planning auxiliary data processing method, in particular to a truck navigation along-route data preprocessing and using method.
Background
The on-road searching function of the existing electronic map in the market solves the demands of drivers, passengers or passenger vehicles on popular information such as on-road gas stations, charging stations, toilets, service areas, delicacies, hotels and the like. However, with the development of freight market informatization, a freight driver or a freight car pays more attention to information related to freight cars along a route, such as data frequently used by freight cars such as height limit, weight limit, width limit, freight car forbidden, overrun inspection stations and the like, so as to avoid penalties, traffic accidents and even illegal actions. The invention aims to provide a preprocessing method of truck navigation along-road truck limit data, which is used for generating data which are frequently used by trucks such as height limit, weight limit, width limit, truck forbidden operation, truck speed limit, overrun inspection stations and the like along a planned route, so that a truck driver can conveniently use the data.
The existing similar technical scheme in the market is to pre-establish a POI database facing the demands of drivers, passengers or passenger vehicles, wherein POI data information and the corresponding association relation between the point position ID of the POI and the road line ID are recorded in the POI database; and searching a POI database through the road line ID when planning a route, acquiring POI information, and displaying the POI information to a user for browsing.
Compared with a passenger car, a mobile phone or a PC, the memory space of the truck is limited, the existing market scheme is directly applied, the preprocessing data is overlarge, and the device with limited memory space can not be used. Passenger cars, mobile phones or PCs are often used in cities, 4G/5G signals are good, and broadband, WIFI or free flow is achieved; truck navigation is often used among cities, and network signal strength and flow cost are considered. The existing market scheme is directly applied, the network is too dependent, and huge flow consumption can be caused by repeatedly requesting the network. Truck navigation often makes long-distance route planning across cities and across thousands of kilometers, and the calculation performance of a truck and a car machine is limited, which is not as fast as that of a passenger car, a mobile phone or a PC. The existing market scheme is directly applied, processing steps are more when the route is planned to acquire the along-road data, and the database is frequently queried, so that the planning speed is low, the time is long, and the user experience is affected.
Disclosure of Invention
The invention provides a preprocessing and using method of truck navigation data along the way,
the working principle of the invention is as follows: a preprocessing method for truck navigation along-route restriction data comprises the following steps:
s1: establishing a binary tree to store a calculation result, and initializing a binary tree root node;
s2: inputting truck restriction data; each truck limited data comprises a category, longitude, latitude and numerical value;
s3: using longitude and latitude of each truck limited data as circle centers, using a space grid index to read road sections of the bottommost road network from the basic map data, and matching the truck limited data to the road sections of the bottommost road network;
s4: storing the matching result of the lowest road network into a binary tree by using a recursion method by taking the road network level and the road section number as indexes;
s5: traversing the road section with truck limited data in the bottommost road network, reading the upper road section corresponding to the road section with truck limited data in the bottommost road network from the basic map data, and matching the truck limited data to the corresponding upper road section;
s6: the matching result in the step S5 is stored in a binary tree by taking the road network level and the road section number as indexes;
s7: traversing the binary tree by the middle order, and storing truck limited data corresponding to all road sections in all the level road networks into a data file A;
s8: and establishing indexes for all road sections in all the hierarchical road networks, wherein the indexes comprise the corresponding truck data limiting quantity and the storage address of the truck data limiting quantity, and storing the indexes as an index file B.
Further is: and S2, the types of the truck limit data comprise height limit, weight limit, width limit, truck forbidden operation, truck speed limit and overrun check stations.
Further is: the index in S8 comprises the data quantity of the truck limiting data and the data address of the truck limiting data; the data quantity of the truck occupies 12 bits; the truck data address occupies 20 bits.
A method for using truck navigation along-route restriction data comprises the following steps:
s1: navigation planning route, obtaining serial numbers of all road sections on the route;
s2: reading an index file of the preprocessed data according to the road section serial number;
s3: acquiring the data quantity and the data address of the truck limit corresponding to the road section;
s4: judging whether the data quantity of the truck limit data corresponding to the road section is 0 or not; if the truck restriction data is greater than 0, reading the preprocessed data file according to the storage address to obtain truck restriction data; otherwise, skipping the current road section, judging whether the data quantity of the truck limit corresponding to the next road section is 0 or not, and until all road sections on the road are processed;
s5: and displaying truck restriction data along the way on a navigation planning route interface.
The beneficial effects of the invention are as follows: the preprocessing data generated by the scheme has small occupied space, can be installed locally, and can read the limit data of the trucks along the way by using a local file mode, thereby greatly reducing the consumption of network flow. When the limit data of the trucks on the road of tens of millions of orders and millions of orders of magnitude of the whole country are processed, the limit data of the trucks on the way which is frequently used by trucks such as height limit, weight limit, width limit, truck forbidden, truck speed limit, overrun inspection station and the like can be automatically and rapidly generated, meanwhile, the use of continuous large-block memories is reduced, and the method is applicable to trucks with limited memories.
And when a route is planned, the limit data of the truck along the way is acquired, no searching process is adopted, intermediate steps are reduced, the planning speed is improved, the limit data of the truck along the way is displayed faster, and the user experience is improved.
Drawings
FIG. 1 is a flow chart of a preprocessing method of truck navigation along-route restriction data;
FIG. 2 is a flow chart of a method for using truck navigation along-road restriction data.
Detailed Description
The present invention will be further described in detail with reference to the drawings and examples, which are only for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
The preprocessing method for the truck navigation limit data is characterized in that the truck navigation limit data is preprocessed, an obtained calculation result is stored as preprocessing data, so that the preprocessing data is directly obtained when the truck navigation limit data along the way is searched in the process of navigation planning a route, and the route planning calculation speed is improved, and the method specifically comprises the following steps:
s1: establishing a binary tree to store a calculation result, and initializing a binary tree root node;
s2: inputting truck restriction data; each truck limited data comprises a category, longitude, latitude and numerical value;
s3: using longitude and latitude of each truck limited data as circle centers, using a space grid index to read road sections of the bottommost road network from the basic map data, and matching the truck limited data to the road sections of the bottommost road network;
s4: storing the matching result of the lowest road network into a binary tree by using a recursion method by taking the road network level and the road section number as indexes;
s5: traversing the road section with truck limited data in the bottommost road network, reading the upper road section corresponding to the road section with truck limited data in the bottommost road network from the basic map data, and matching the truck limited data to the corresponding upper road section;
s6: the matching result in the step S5 is stored in a binary tree by taking the road network level and the road section number as indexes;
s7: traversing the binary tree by the middle order, and storing truck limited data corresponding to all road sections in all the level road networks into a data file A;
s8: establishing indexes for all road sections in all the hierarchical road networks, wherein the indexes comprise corresponding truck data limiting quantity and storage addresses of truck data limiting quantity, and storing the indexes as an index file B; and after the preprocessing is finished, the generated data file A and the index file B are preprocessed data of the limit data of the goods train along the way, and are called when the goods train is guided.
The road network layer of China is divided into 5 layers, namely a 0 th layer to a 4 th layer in sequence from bottom to top, and the concrete table is as follows:
| road network level | Description of roads |
| Layer 4 | Main roads important for national or international traffic, including all international roads, highways and departments National trails, etc. Main high-grade roads for urban and external traffic, including highway for urban access and non-limiting foreign vehicles City express and loop. |
| Layer 3 | The roads which play a major role in domestic traffic include all national roads and part of provinces. Urban for urban internal traffic Expressways, loops and arterial roads traversing urban areas. |
| Layer 2 | County roads of all provincial road and partial regional grade thoroughfare properties that play a major role in intra-provincial traffic, connecting various regions within the provincial Major roads in the city and county. All main roads and partial secondary main roads used for urban internal traffic, including each city Roads between areas, inner loops, and roads connecting urban arterial roads. |
| Layer 1 | County roads connecting between villages and towns, including roads connecting larger residents. All-purpose traffic in city A secondary trunk and a city branch connected with the backbone network. |
| Layer 0 | The main roads in villages and towns and the roads connecting residents in each village are gathered. The road can be communicated in villages and towns. All city branches and wider Hu-in tunnel roads. The city can disclose the low-grade road for traffic. Restricted by But traffic flow is not closed, including roads that permit only special vehicles to pass, and the like. |
On the basis of the above, the types of the truck restriction data in the S2 comprise height restriction, weight restriction, width restriction, truck forbidden, truck speed restriction and overrun inspection stations.
On the basis of the above, the index in S8 includes the number of truck limited data and the truck limited data address; the data quantity of the truck occupies 12 bits; the truck data address occupies 20 bits.
The method for using the truck navigation along-route restriction data comprises the following steps:
s1: navigation planning route, obtaining serial numbers of all road sections on the route;
s2: reading an index file B of the preprocessed data according to the road section serial number;
s3: acquiring the data quantity and the data address of the truck limit corresponding to the road section;
s4: judging whether the data quantity of the truck limit data corresponding to the road section is 0 or not; if the truck restriction data is greater than 0, reading the preprocessed data file A according to the storage address to obtain truck restriction data; otherwise, skipping the current road section, judging whether the data quantity of the truck limit corresponding to the next road section is 0 or not, and until all road sections on the road are processed;
s5: and displaying truck restriction data along the way on a navigation planning route interface.
The above embodiments should not limit the present invention in any way, and all technical solutions obtained by equivalent substitution or equivalent conversion fall within the protection scope of the present invention.
Claims (3)
1. A preprocessing method for truck navigation along-route restriction data is characterized by comprising the following steps of: the method comprises the following steps:
s1: establishing a binary tree to store a calculation result, and initializing a binary tree root node;
s2: inputting truck restriction data; each truck limited data comprises a category, longitude, latitude and numerical value;
s3: using longitude and latitude of each truck limited data as circle centers, using a space grid index to read road sections of the bottommost road network from the basic map data, and matching the truck limited data to the road sections of the bottommost road network;
s4: storing the matching result of the lowest road network into a binary tree by using a recursion method by taking the road network level and the road section number as indexes;
s5: traversing the road section with truck limited data in the bottommost road network, reading the upper road section corresponding to the road section with truck limited data in the bottommost road network from the basic map data, and matching the truck limited data to the corresponding upper road section;
s6: the matching result in the step S5 is stored in a binary tree by taking the road network level and the road section number as indexes;
s7: traversing the binary tree by the middle order, and storing truck limited data corresponding to all road sections in all the level road networks into a data file A;
s8: establishing indexes for all road sections in all the hierarchical road networks, wherein the indexes comprise corresponding truck data limiting quantity and storage addresses of truck data limiting quantity, and storing the indexes as an index file B;
and S2, the types of the truck limit data comprise height limit, weight limit, width limit, truck forbidden operation, truck speed limit and overrun check stations.
2. The method for preprocessing truck navigation along-route restriction data according to claim 1, wherein: the index in S8 comprises the data quantity of the truck limiting data and the data address of the truck limiting data; the data quantity of the truck limiting data occupies 12 bits; the truck data-limiting address occupies 20 bits.
3. A method for using truck navigation along-route data, characterized in that the data file a and the index file B are obtained via the preprocessing method for truck navigation along-route data according to any one of claims 1-2; the method for using the truck navigation along-route restriction data comprises the following steps:
s1: navigation planning route, obtaining serial numbers of all road sections on the route;
s2: reading an index file B of the preprocessed data according to the road section serial number;
s3: acquiring the data quantity and the data address of the truck limit corresponding to the road section;
s4: judging whether the data quantity of the truck limit data corresponding to the road section is 0 or not; if the truck restriction data is greater than 0, reading the preprocessed data file A according to the storage address to obtain truck restriction data; otherwise, skipping the current road section, judging whether the data quantity of the truck limit corresponding to the next road section is 0 or not, and until all road sections on the road are processed;
s5: and displaying truck restriction data along the way on a navigation planning route interface.
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