An intelligent route planning system applicable to multifunctional ambulances

Abstract

The present invention discloses an intelligent route planning system applicable to a multifunctional ambulance, which relates to the technical field of intelligent route planning. It solves the technical problem in the prior art that ambulances cannot perform intelligent route planning based on the analysis of the current road type and real-time traffic conditions during the passage. It performs real-time analysis on the current driving route of the ambulance, determines whether the real-time congestion risk of the current ambulance passage route is normal, and thus issues a warning for the passage route according to the road analysis, reducing the congestion risk of the ambulance and improving the real-time passage efficiency of the ambulance; it analyzes the congestion risk of the real-time passage roads of the passage objects, and conducts real-time congestion risk analysis on the high-risk congestion roads and low-risk congestion roads to determine whether the current passage object needs to perform route planning, so as to ensure the passage efficiency of the passage object and reduce the risk of congestion.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent route planning, and specifically to an intelligent route planning system suitable for multi-functional ambulances. Background Art

[0002] With the development of technology and the improvement of people's living standards, people have a new understanding of the concept of health. In order to meet the needs of the people and conduct timely and effective rescue in major emergencies and natural disasters to minimize losses, modern cities must have corresponding automated emergency centers, and ambulances play an important role in this. Whether a patient can be sent to the most suitable hospital in the shortest time is crucial for saving the patient's life. However, ambulances may encounter various emergencies during the transportation of patients, such as traffic jams.

[0003] However, in the existing technology, ambulances cannot perform intelligent route planning based on the analysis of the current road type and real-time traffic conditions during the passage process. As a result, the risk of reducing the passing efficiency of ambulances is high, and at the same time, route planning for ambulances cannot be carried out, increasing the risk of traffic congestion for ambulances.

[0004] In view of the above technical defects, a solution is proposed herein. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems, and to propose an intelligent route planning system suitable for multi-functional ambulances, which analyzes the real-time planned route of the passing object, reasonably matches the passing route for the passing object through analysis, improves the rationality of the passing route planning, ensures no congestion during the passing process of the passing object, and further improves the passing efficiency of the passing object.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An intelligent route planning system suitable for multi-functional ambulances includes a server, which is communicatively connected to a passing road analysis unit, a congestion risk analysis unit, and a planned route analysis unit;

[0008] The server generates a passing road analysis signal and sends the passing road analysis signal to the passing road analysis unit. After receiving the passing road analysis signal, the passing road analysis unit performs real-time analysis on the current driving route of the ambulance, marks the ambulance as a passing object, analyzes the current passing road of the passing object, obtains the road analysis coefficient of the current passing road of the passing object, generates a high-risk signal or a low-risk signal according to the comparison of the road analysis coefficients, and sends it to the server;

[0009] After the server receives a high-risk signal, it generates a congestion risk analysis signal and sends the congestion risk analysis signal to the congestion risk analysis unit. After receiving the congestion risk analysis signal, the congestion risk analysis unit analyzes the congestion risk of the real-time passing road of the passing object, generates a real-time congestion-free signal or a real-time congestion signal through analysis, and sends it to the server;

[0010] After the server receives the real-time congestion signal, it generates a planned sequential analysis signal and sends the planned sequential analysis signal to the planned sequential analysis unit. After receiving the planned sequential analysis signal, the planned sequential analysis unit analyzes the real-time planned route of the passing object, obtains the passing route according to the real-time destination and the current position of the passing object, marks the routes other than the current road in the passing route as the to-be-planned routes, divides the to-be-planned routes into non-suitable routes or suitable routes through analysis, and sends them to the server.

[0011] As a preferred embodiment of the present invention, the operation process of the passing road analysis unit is as follows:

[0012] Collect the ratio of the number of merging intersections to the number of exiting intersections corresponding to the current passing road of the passing object and the average adjacent spacing of the exiting intersections within the current passing road; collect the ratio of the maximum mergable volume of the merging intersections to the exit volume of the adjacent exiting intersections within the current passing road of the passing object;

[0013] Obtain the road analysis coefficient of the current passing road of the passing object through analysis;

[0014] Compare the road analysis coefficient of the current passing road of the passing object with the road analysis coefficient threshold:

[0015] If the road analysis coefficient of the current passing road of the passing object exceeds the road analysis coefficient threshold, it is determined that the congestion risk of the current passing road of the passing object is high, the corresponding passing road is marked as a high-risk congestion road, a high-risk signal is generated and the high-risk signal is sent to the server; if the road analysis coefficient of the current passing road of the passing object does not exceed the road analysis coefficient threshold, it is determined that the congestion risk of the current passing road of the passing object is low, the corresponding passing road is marked as a low-risk congestion road, a low-risk signal is generated and the low-risk signal is sent to the server.

[0016] As a preferred embodiment of the present invention, the operation process of the congestion risk analysis unit is as follows:

[0017] The maximum vehicle speed difference corresponding to the passing vehicles in the current passing road of the passing object and the reduction span of the average vehicle speed of the passing vehicles in the current passing road are collected, and the maximum vehicle speed difference corresponding to the passing vehicles in the current passing road of the passing object and the reduction span of the average vehicle speed of the passing vehicles in the current passing road are respectively compared with the maximum vehicle speed difference threshold and the vehicle speed reduction span threshold; among them, the threshold value corresponding to the high-risk congested road is smaller than the corresponding threshold value of the low-risk congested road.

[0018] If the maximum vehicle speed difference corresponding to the passing vehicles in the current passing road of the passing object does not exceed the maximum vehicle speed difference threshold, and the reduction span of the average vehicle speed of the passing vehicles in the current passing road does not exceed the vehicle speed reduction span threshold, it is determined that the real-time congestion risk of the passing road of the passing object is low, a real-time non-congestion signal is generated and the real-time non-congestion signal is sent to the server

[0019] If the maximum vehicle speed difference corresponding to the passing vehicles in the current passing road of the passing object exceeds the maximum vehicle speed difference threshold, or the reduction span of the average vehicle speed of the passing vehicles in the current passing road exceeds the vehicle speed reduction span threshold, it is determined that the real-time congestion risk of the passing road of the passing object is high, a real-time congestion signal is generated and the real-time congestion signal is sent to the server.

[0020] As a preferred embodiment of the present invention, the operation process of the planning and successive analysis unit is as follows:

[0021] The reduction amount corresponding to the average passing vehicle speed of all passing lanes of the passing object corresponding to the to-be-planned route and the excess value of the vehicle inflow and vehicle outflow during the reduction of the passing vehicle speed in the to-be-planned route are collected, and the reduction amount corresponding to the average passing vehicle speed of all passing lanes of the passing object corresponding to the to-be-planned route and the excess value of the vehicle inflow and vehicle outflow during the reduction of the passing vehicle speed in the to-be-planned route are respectively compared with the vehicle speed reduction amount threshold and the quantity excess threshold:

[0022] If the reduction amount corresponding to the average passing vehicle speed of all passing lanes of the passing object corresponding to the to-be-planned route exceeds the vehicle speed reduction amount threshold, or the excess value of the vehicle inflow and vehicle outflow during the reduction of the passing vehicle speed in the to-be-planned route exceeds the quantity excess threshold, it is determined that the current to-be-planned route of the passing object is not suitable as a passing route, the current to-be-planned route is marked as an unsuitable route, and the name of the unsuitable route is sent to the server;

[0023] If the average reduction in the passing vehicle speed corresponding to all passing lanes of the planned route for the passing object does not exceed the vehicle speed reduction threshold, and the excess value of the vehicle inflow and vehicle outflow during the reduction of the passing vehicle speed within the planned route does not exceed the quantity excess threshold, it is determined that the currently planned route for the passing object is suitable as a passing route, and the currently planned route is marked as a suitable route, and the name of the suitable route is sent to the server; after receiving the suitable route, the server replaces the route for the corresponding passing object.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0025] In the present invention, the current driving route of the ambulance is analyzed in real time to determine whether the real-time congestion risk of the current passing route of the ambulance is normal, so as to issue a passing route warning according to the road analysis, reduce the congestion risk of the ambulance, and improve the real-time passing efficiency of the ambulance; the real-time passing roads of the passing object are analyzed for congestion risk, and the real-time congestion risk analysis is carried out for high-risk congestion roads and low-risk congestion roads to determine whether the current passing object needs to carry out route planning, so as to ensure the passing efficiency of the passing object and reduce the risk of congestion; the real-time planned route of the passing object is analyzed, and the passing route is reasonably matched for the passing object through the analysis, which improves the rationality of the passing route planning, ensures that there is no congestion during the passing process of the passing object, and further improves the passing efficiency of the passing object. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0027] Figure 1 It is a principle block diagram of a route intelligent planning system for a multifunctional ambulance according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0028] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0029] Reference to "embodiment" in this text means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0030] Please refer to Figure 1 As shown, an intelligent route planning system applicable to a multi-functional ambulance includes a server, which is communicatively connected to a passing road analysis unit, a congestion risk analysis unit, and a planned route analysis unit. Among them, the server is in a two-way communication connection with the passing road analysis unit, the congestion risk analysis unit, and the planned route analysis unit;

[0031] The server generates a passing road analysis signal and sends the passing road analysis signal to the passing road analysis unit. After receiving the passing road analysis signal, the passing road analysis unit performs real-time analysis on the current driving route of the ambulance, judges whether the real-time congestion risk of the current passing route of the ambulance is normal, and thus issues a passing route warning based on the road analysis, reducing the congestion risk of the ambulance and improving the real-time passing efficiency of the ambulance;

[0032] Mark the ambulance as a passing object, analyze the current passing road of the passing object, collect the ratio of the number of incoming intersections to the number of outgoing intersections corresponding to the current passing road of the passing object and the average adjacent spacing of the outgoing intersections within the current passing road, and mark the ratio of the number of incoming intersections to the number of outgoing intersections corresponding to the current passing road of the passing object and the average adjacent spacing of the outgoing intersections within the current passing road as SBZ and XJJ respectively; collect the ratio of the maximum inflow volume of the incoming intersections to the outflow volume of the adjacent outgoing intersections within the current passing road of the passing object, and mark the ratio of the maximum inflow volume of the incoming intersections to the outflow volume of the adjacent outgoing intersections within the current passing road of the passing object as LBZ;

[0033] Through the formula Obtain the road analysis coefficient X of the current passing road of the passing object, where f1, f2, and f3 are all preset proportional coefficients, and f1 > f2 > f3 > 0, and β is an error correction factor with a value of 1.25;

[0034] Compare the road analysis coefficient X of the current passing road of the passing object with the road analysis coefficient threshold:

[0035] If the road analysis coefficient X of the current passing road of the passing object exceeds the road analysis coefficient threshold, it is determined that the current passing road of the passing object has a high congestion risk, mark the corresponding passing road as a high-risk congestion road, generate a high-risk signal and send the high-risk signal to the server; if the road analysis coefficient X of the current passing road of the passing object does not exceed the road analysis coefficient threshold, it is determined that the current passing road of the passing object has a low congestion risk, mark the corresponding passing road as a low-risk congestion road, generate a low-risk signal and send the low-risk signal to the server;

[0036] After receiving a high-risk signal, the server generates a congestion risk analysis signal and sends the congestion risk analysis signal to the congestion risk analysis unit. After receiving the congestion risk analysis signal, the congestion risk analysis unit conducts a congestion risk assessment on the real-time passing road of the passing object. For high-risk and low-risk congested roads, real-time congestion risk analysis is carried out to determine whether the current passing object needs to carry out route planning, so as to ensure the passing efficiency of the passing object and reduce the risk of congestion;

[0037] The maximum vehicle speed difference corresponding to the passing vehicles in the current passing road of the passing object and the reduction span of the average vehicle speed of the passing vehicles in the current passing road are collected, and the maximum vehicle speed difference corresponding to the passing vehicles in the current passing road of the passing object and the reduction span of the average vehicle speed of the passing vehicles in the current passing road are respectively compared with the maximum vehicle speed difference threshold and the vehicle speed reduction span threshold; among them, the threshold value corresponding to the high-risk congested road is smaller than the corresponding threshold value of the low-risk congested road;

[0038] If the maximum vehicle speed difference corresponding to the passing vehicles in the current passing road of the passing object does not exceed the maximum vehicle speed difference threshold, and the reduction span of the average vehicle speed of the passing vehicles in the current passing road does not exceed the vehicle speed reduction span threshold, it is determined that the real-time congestion risk of the passing road of the passing object is low, and a real-time congestion-free signal is generated and sent to the server

[0039] If the maximum vehicle speed difference corresponding to the passing vehicles in the current passing road of the passing object exceeds the maximum vehicle speed difference threshold, or the reduction span of the average vehicle speed of the passing vehicles in the current passing road exceeds the vehicle speed reduction span threshold, it is determined that the real-time congestion risk of the passing road of the passing object is high, and a real-time congestion signal is generated and sent to the server;

[0040] After receiving the real-time congestion signal, the server generates a planning sequential analysis signal and sends the planning sequential analysis signal to the planning sequential analysis unit. After receiving the planning sequential analysis signal, the planning sequential analysis unit analyzes the real-time planned route of the passing object, and reasonably matches the passing route for the passing object through the analysis, improving the rationality of the passing route planning, ensuring no congestion during the passing process of the passing object, and further improving the passing efficiency of the passing object;

[0041] Obtain the passing route based on the real-time destination and current location of the passing object, mark the routes other than the current road in the passing route as the to-be-planned routes, collect the corresponding reduction in the average passing speed of all passing lanes of the to-be-planned routes for the passing object and the excess values of the vehicle inflow and vehicle outflow during the reduction of the passing speed within the to-be-planned routes, and compare the corresponding reduction in the average passing speed of all passing lanes of the to-be-planned routes for the passing object and the excess values of the vehicle inflow and vehicle outflow during the reduction of the passing speed within the to-be-planned routes with the speed reduction threshold and the quantity excess threshold respectively:

[0042] If the corresponding reduction in the average passing speed of all passing lanes of the to-be-planned routes for the passing object exceeds the speed reduction threshold, or the excess value of the vehicle inflow and vehicle outflow during the reduction of the passing speed within the to-be-planned routes exceeds the quantity excess threshold, it is determined that the current to-be-planned route of the passing object is not suitable as a passing route, mark the current to-be-planned route as an unsuitable route, and send the name of the unsuitable route to the server;

[0043] If the corresponding reduction in the average passing speed of all passing lanes of the to-be-planned routes for the passing object does not exceed the speed reduction threshold, and the excess value of the vehicle inflow and vehicle outflow during the reduction of the passing speed within the to-be-planned routes does not exceed the quantity excess threshold, it is determined that the current to-be-planned route of the passing object is suitable as a passing route, mark the current to-be-planned route as a suitable route, and send the name of the suitable route to the server; after receiving the suitable route, the server replaces the route of the corresponding passing object;

[0044] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value, and the coefficients in the formula are set by those skilled in the art according to the actual situation;

[0045] When the present invention is in use, the passing road analysis unit analyzes the current driving route of the ambulance in real time, marks the ambulance as the passing object, analyzes the current passing road of the passing object, obtains the road analysis coefficient of the current passing road of the passing object, generates a high-risk signal or a low-risk signal according to the comparison of the road analysis coefficient, and sends it to the server; the congestion risk analysis unit analyzes the congestion risk of the real-time passing road of the passing object, generates a real-time congestion-free signal or a real-time congestion signal through analysis, and sends it to the server; the planning sequence analysis unit analyzes the real-time planned route of the passing object, obtains the passing route according to the real-time destination and current location of the passing object, marks the routes other than the current road in the passing route as the to-be-planned routes, divides the to-be-planned routes into unsuitable routes or suitable routes through analysis, and sends them to the server.

[0046] The preferred embodiments of the present invention disclosed above are merely used to assist in the description of the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific embodiments. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An intelligent route planning system applicable to a multi-functional ambulance, characterized in that, It includes a server, which is communicatively connected to a traffic road analysis unit, a congestion risk analysis unit, and a planned route analysis unit; The server generates a traffic road analysis signal and sends the traffic road analysis signal to the traffic road analysis unit. After receiving the traffic road analysis signal, the traffic road analysis unit performs real-time analysis on the current driving route of the ambulance, marks the ambulance as a passing object, analyzes the current traffic road of the passing object, obtains the road analysis coefficient of the current traffic road of the passing object, generates a high-risk signal or a low-risk signal based on the comparison of the road analysis coefficients, and sends it to the server; After receiving the high-risk signal, the server generates a congestion risk analysis signal and sends the congestion risk analysis signal to the congestion risk analysis unit. After receiving the congestion risk analysis signal, the congestion risk analysis unit performs congestion risk analysis on the real-time traffic road of the passing object, generates a real-time non-congestion signal or a real-time congestion signal through analysis, and sends it to the server; After receiving the real-time congestion signal, the server generates a planned route analysis signal and sends the planned route analysis signal to the planned route analysis unit. After receiving the planned route analysis signal, the planned route analysis unit analyzes the real-time planned route of the passing object, obtains the traffic route based on the real-time destination and the current location of the passing object, marks the routes other than the current road in the traffic route as the to-be-planned routes, divides the to-be-planned routes into non-suitable routes or suitable routes through analysis, and sends them to the server; Among them The operation process of the traffic road analysis unit is as follows: Collect the ratio of the number of merging intersections to the number of exiting intersections corresponding to the current traffic road of the passing object and the average adjacent spacing of the exiting intersections within the current traffic road; collect the ratio of the maximum inflow volume of the merging intersections within the current traffic road of the passing object to the outflow volume of the adjacent exiting intersections; Obtain the road analysis coefficient of the current traffic road of the passing object through analysis; Compare the road analysis coefficient of the current traffic road of the passing object with the road analysis coefficient threshold: If the road analysis coefficient of the current traffic road of the passing object exceeds the road analysis coefficient threshold, it is determined that the congestion risk of the current traffic road of the passing object is high, mark the corresponding traffic road as a high-risk congestion road, generate a high-risk signal and send the high-risk signal to the server; If the road analysis coefficient of the current traffic road of the passing object does not exceed the road analysis coefficient threshold, it is determined that the congestion risk of the current traffic road of the passing object is low, mark the corresponding traffic road as a low-risk congestion road, generate a low-risk signal and send the low-risk signal to the server.

2. The intelligent route planning system for a multi-functional ambulance according to claim 1, wherein The operation process of the congestion risk analysis unit is as follows: Collect the maximum vehicle speed difference corresponding to the passing vehicles within the current traffic road of the passing object and the reduction span of the average vehicle speed of the passing vehicles within the current traffic road, and compare the maximum vehicle speed difference corresponding to the passing vehicles within the current traffic road of the passing object and the reduction span of the average vehicle speed of the passing vehicles within the current traffic road with the maximum vehicle speed difference threshold and the vehicle speed reduction span threshold respectively; among them, the threshold value corresponding to the high-risk congestion road is smaller than the corresponding threshold value of the low-risk congestion road; If the maximum speed difference corresponding to the passing vehicles in the current passing road of the passing object does not exceed the maximum speed difference threshold, and the reduction span of the average speed of the passing vehicles in the current passing road does not exceed the speed reduction span threshold, it is determined that the real-time congestion risk of the passing road of the passing object is low, a real-time non-congestion signal is generated and the real-time non-congestion signal is sent to the server If the maximum speed difference corresponding to the passing vehicles in the current passing road of the passing object exceeds the maximum speed difference threshold, or the reduction span of the average speed of the passing vehicles in the current passing road exceeds the speed reduction span threshold, it is determined that the real-time congestion risk of the passing road of the passing object is high, a real-time congestion signal is generated and the real-time congestion signal is sent to the server.

3. The intelligent route planning system for a multi-functional ambulance according to claim 1, characterized in that, The operation process of the planning and successive analysis unit is as follows: Collect the reduction amount corresponding to the average passing speed of all passing lanes of the passing object corresponding to the to-be-planned route, and the excess value of the vehicle inflow and vehicle outflow during the speed reduction process in the to-be-planned route, and compare the reduction amount corresponding to the average passing speed of all passing lanes of the passing object corresponding to the to-be-planned route and the excess value of the vehicle inflow and vehicle outflow during the speed reduction process in the to-be-planned route with the speed reduction amount threshold and the quantity excess threshold respectively: If the reduction amount corresponding to the average passing speed of all passing lanes of the passing object corresponding to the to-be-planned route exceeds the speed reduction amount threshold, or the excess value of the vehicle inflow and vehicle outflow during the speed reduction process in the to-be-planned route exceeds the quantity excess threshold, it is determined that the current to-be-planned route of the passing object is not suitable as a passing route, the current to-be-planned route is marked as an unsuitable route, and the name of the unsuitable route is sent to the server; If the reduction amount corresponding to the average passing speed of all passing lanes of the passing object corresponding to the to-be-planned route does not exceed the speed reduction amount threshold, and the excess value of the vehicle inflow and vehicle outflow during the speed reduction process in the to-be-planned route does not exceed the quantity excess threshold, it is determined that the current to-be-planned route of the passing object is suitable as a passing route, the current to-be-planned route is marked as a suitable route, and the name of the suitable route is sent to the server; After receiving the suitable route, the server replaces the corresponding passing object's route.

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