CN113390424A

CN113390424A - Intelligent travel navigation method, system, equipment and medium

Info

Publication number: CN113390424A
Application number: CN202110642270.2A
Authority: CN
Inventors: 凌文杰; 皮碧虹; 杨德文; 龙丁奋
Original assignee: Shenzhen Tongxingzhe Technology Co ltd
Current assignee: Shenzhen Tongxingzhe Technology Co ltd
Priority date: 2021-06-09
Filing date: 2021-06-09
Publication date: 2021-09-14

Abstract

The invention provides an intelligent travel navigation method, a system, equipment and a medium, wherein the method comprises the steps of obtaining route planning initial information, determining a preferred route as a navigation route, advancing along the navigation route, obtaining current position information in the advancing process, determining the current expected required time, comparing the current expected required time with the initial expected required time, determining at least two alternative planning routes according to the current position information and target position information if the current expected required time and the initial expected required time meet preset conditions, determining a replacement route from the at least two alternative planning routes, updating the navigation route into the replacement route, monitoring whether the current navigation route is the optimal route in the advancing process, if the current navigation route is not suitable for a user, timely rescaling to determine the replacement route, adjusting the navigation route, and improving the user experience, The navigation route is more accurate, adapts to the current fast-paced society more, also can make more users join the ranks of more intelligent trip.

Description

Intelligent travel navigation method, system, equipment and medium

Technical Field

The invention relates to the field of navigation, in particular to an intelligent travel navigation method, system, equipment and medium.

Background

With the development of the technology, people can normally travel through navigation prompts without depending on maps and experiences.

However, in the related art, the navigation route of the destination is often selected as "one-hammer buy and sell", and a preferred route is selected for traveling, but the previously selected preferred route may not be the route most suitable for the current user, which results in poor user experience and inaccurate navigation route.

Disclosure of Invention

In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent travel navigation method, system, device and medium to solve the above-mentioned technical problems.

The invention provides an intelligent travel navigation method, which comprises the following steps:

acquiring initial route planning information, wherein the initial route planning information comprises initial position information and target position information;

determining a preferred route according to the route planning initial information, taking the preferred route as a navigation route, and traveling along the navigation route;

acquiring current position information and determining the current expected required time length;

acquiring initial expected required time, wherein the initial expected required time is the time required for the target position information to travel along the preferred route from the current position information when the preferred route is determined;

if the current expected required time length and the initial expected required time length meet preset conditions, determining at least two alternative planning routes according to the current position information and the target position information, and determining a replacement route from the at least two alternative planning routes;

updating the navigation route to the replacement route.

Optionally, the determining a replacement route according to the current location information and the target location information includes:

respectively obtaining alternative planned route travel parameters of each alternative planned route, wherein the alternative planned route travel parameters at least comprise at least one of traffic light quantity, red light and green light time of each road and road junction quantity;

and determining a replacement route from the alternative planning routes according to the alternative planning route travel parameters.

respectively obtaining alternative planned route travel parameters of each alternative planned route, wherein the alternative planned route travel parameters comprise at least one of road gradient, road surface condition, lane number, speed limit information, congestion condition and road curve condition;

acquiring travel parameters of a traveled road section and travel speeds of various traveled road sections;

determining alternative traveling time of each alternative planned route according to the traveled road section traveling parameters, the traveled speed of each traveled road section and the alternative planned route traveling parameters;

and determining a replacement route from the alternative planned routes according to the alternative travel time lengths.

Optionally, the current predicted required time includes a current predicted next intersection waiting time, the initial predicted required time includes an initial predicted next intersection waiting time, and the current predicted required time and the initial predicted required time satisfy a preset condition, including that the current predicted next intersection waiting time is greater than the initial predicted next intersection waiting time, and the current predicted next intersection waiting time is greater than a preset highest intersection waiting time;

and the intersection waiting time of the replacement route at each intersection in the replacement route is not more than the preset highest intersection waiting time.

Optionally, the method further includes:

acquiring the traffic light state and the distance of the current intersection in the navigation route;

and determining a recommended travel speed according to the current intersection distance and the current intersection traffic light state, and reminding.

Optionally, the route planning initial information further includes travel information, and before the route planning initial information is acquired, the method further includes:

acquiring trip information sending position information;

and pre-acquiring map information of a preset range around the trip information sending position according to the trip information sending position information.

Optionally, the route planning initial information further includes at least one of a travel mode and travel information sender identification information, the preferred route and the alternative planning route are determined according to the travel mode, preference information of the travel information sender is determined according to the travel information sender identification information, the preferred route and the replacement route are determined, and the preference information includes at least one of a preference red street lamp number, a preference single-road lipstick street lamp waiting time, a preference road gradient, a preference road surface condition, a preference lane number, a preference speed limit information and a preference road curve condition.

The invention also provides an intelligent travel navigation system, which comprises:

the system comprises an initial information acquisition module, a route planning module and a route planning module, wherein the initial information acquisition module is used for acquiring route planning initial information which comprises initial position information and target position information;

the preferred route determining module is used for determining a preferred route according to the route planning initial information, taking the preferred route as a navigation route and traveling along the navigation route;

the current expected required time length determining module is used for acquiring current position information and determining the current expected required time length;

an initial expected required time length determining module, configured to obtain an initial expected required time length, where the initial expected required time length is a time length required for traveling along a preferred route from the current location information to the target location information when the preferred route is determined;

a route replacement determining module, configured to determine at least two alternative planned routes according to the current location information and the target location information if the current expected required time and the initial expected required time meet a preset condition, and determine a route to be replaced from the at least two alternative planned routes;

and the updating module is used for updating the navigation route into the replacement route.

The invention also provides an electronic device, which comprises a processor, a memory and a communication bus;

the communication bus is used for connecting the processor and the memory;

the processor is configured to execute the computer program stored in the memory to implement the intelligent travel navigation method according to any one of the embodiments.

The present invention also provides a computer-readable storage medium, having stored thereon a computer program,

the computer program is used for making the computer execute the intelligent travel navigation method according to any one of the above embodiments.

The invention has the beneficial effects that: the invention provides an intelligent travel navigation method, a system, equipment and a medium, the method determines an optimal route as a navigation route by obtaining route planning initial information, and travels along the navigation route, obtains current position information in the traveling process, and determines the current expected required time, if the current expected required time and the initial expected required time meet preset conditions, at least two alternative planning routes are determined according to the current position information and target position information, a replacement route is determined from the at least two alternative planning routes, the navigation route is updated to the replacement route, whether the current navigation route is the optimal route can be monitored in the traveling process, if the current navigation route is not suitable for a user, the modification route can be timely rescued, the navigation route is adjusted, the user experience degree is improved, and the navigation route is more accurate, the method is more suitable for the current fast-paced society, and more users can join the ranks of more intelligent trips.

Drawings

Fig. 1 is a schematic flow chart of an intelligent travel navigation method according to an embodiment of the present invention.

Fig. 2 is a specific flowchart of the intelligent travel navigation method according to an embodiment of the present invention.

Fig. 3 is a schematic structural diagram of an intelligent travel navigation system according to a second embodiment of the present invention.

Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.

It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.

In the following description, numerous details are set forth to provide a more thorough explanation of embodiments of the present invention, however, it will be apparent to one skilled in the art that embodiments of the present invention may be practiced without these specific details, and in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring embodiments of the present invention.

Example one

As shown in fig. 1, an intelligent travel navigation method in this embodiment includes:

s101: route planning initial information is obtained.

Optionally, the route planning initial information includes initial position information and target position information. Where initial location information may be understood to include information of a departure location and target location information may be understood to include information of a destination location.

Alternatively, the target position may be one or more.

Optionally, the route planning initial information may be obtained in a voice manner, a picture manner, an external input manner, or the like.

S102: and determining a preferred route according to the route planning initial information, and taking the preferred route as a navigation route to travel along the navigation route.

Optionally, determining the preferred route according to the route planning initial information may be implemented by:

planning at least two routes to be selected according to the initial position information and the target position information, and acquiring route outgoing parameters to be selected of the routes to be selected, wherein the route outgoing parameters to be selected include but are not limited to traffic light quantity, time of each road with red and green light, intersection quantity, road gradient, road surface condition, lane quantity, speed limit information, congestion condition, road curve condition and recommended outgoing speed, and based on at least one of travel duration and the like corresponding to the recommended outgoing speed, the priority or score of each route to be selected can be respectively determined according to the route outgoing parameters to be selected, so that the preferred route is determined according to the priority or score.

Optionally, if the route planning initial information further includes at least one of a travel mode and travel information issuer identification information, the travel mode and preference information determined by the travel information issuer identification information are also considered when determining the priority or score of each route to be selected.

Optionally, certain influence factors may be respectively given to the trip parameters of various routes to be selected, and then the influence factors are adjusted according to different trip modes and preference information, so as to determine the priority or the rating, and determine the preferred route.

Optionally, at least one of each route to be selected, the priority or the score of each route to be selected, and travel parameters (such as the number of red street lamps and the time of each lipstick street lamp) of part of the routes to be selected may be displayed to the user, so that the user can select a preferred route.

In some embodiments, before determining the preferred route, further comprising:

acquiring a planned travel speed;

and determining a preferred route according to the planned travel speed and the route planning initial information.

For example, in some cases, the user may not reach or may far exceed the recommended travel speed, for example, for some novice drivers, the travel speed may be slow, such as only 30km/h, that is, the planned travel speed is 30km/h, but in the default route planning, the currently recommended travel speed is 60km/h, and since the novice drivers self-recognize or actually cannot reach 60km/h, the travel time length of each route to be selected may be determined by acquiring the planned travel speed, and then determining the preferred route based on the route travel parameter to be selected including the travel time length of each route to be selected.

S103: and acquiring the current position information and determining the current expected required time length.

Alternatively, the current expected required time period may be determined as follows:

and determining the currently predicted required time according to the current position information, the target position information, the travel parameters of the traveled road sections and the travel speed of each traveled road section.

Optionally, the travel parameters of the traveled section include, but are not limited to, the number of traffic lights of the traveled section, red and green time of each road, the number of intersections, the road gradient, the road surface condition, the number of lanes, speed limit information, congestion condition, road curve condition, and the like.

Optionally, the current estimated required time is determined comprehensively according to the current road condition based on the trip parameters of the actual traveled road section of the traveled distance and the travel speed of each actually traveled road section.

The information can be acquired through a terminal arranged in the vehicle or a terminal synchronous with a user, and can also be acquired through other modes.

Alternatively, the currently predicted required time period can be realized by other related technologies.

Optionally, the intelligent travel navigation method may be used in real time during the travel process, that is, whether the navigation route needs to be updated is determined in real time, or whether the navigation route needs to be updated is determined according to a preset time interval or a preset distance interval.

S104: an initial expected required time duration is obtained.

Optionally, the initial expected required time period is a time period required for the target location information to travel along the preferred route from the current location information when the preferred route is determined. In other words, the initial expected required time period is an ideal time period required from the current position to the target position based on the road condition in the initial state (when the preferred route is determined) and the recommended travel speed.

Optionally, the initial expected required time duration is determined according to the current position information, the target position information and the preset traveling speed. Alternatively, the preset travel speed may be the average speed of vehicles traveling the most recent or the same period of time in the past on a subsequent trip, such that the initial expected required duration may be indicative of the current road condition.

Alternatively, the initial expected required time may be a time obtained by removing elapsed time for the traveled route based on elapsed time for each link determined when determining the preferred route. For example, when a preferred route is planned, 10 minutes are expected from the departure point a to the current location B, and 15 minutes are expected from the current location B to the destination C, and then the initial expected required time period is 15 minutes at this time.

Although the current expected required time and the initial expected required time are the same distance, the waiting time of the subsequent traffic lights is changed and the difference between the current expected required time and the initial expected required time is caused because the user may not travel according to the planned travel speed and the travel progress of the preferred route strictly. The current expected required time length may be greater than the initial expected required time length by a preset ratio, or the current expected required time length may be less than the initial expected required time length by a preset ratio.

In addition, the value of the travel speed is often a preset value when the initial expected required time is determined, and may have a certain difference from the actual travel speed of the user, so that the current expected required time determined by the actual travel speed of the user under different road conditions, such as different roads and curves, may have a certain difference from the initial expected required time.

In addition, since the road condition, such as the congestion condition, may also change at any time, if the preferred road segment is determined, the route is all in a smooth state, but the road segment ahead suddenly becomes congested during the traveling process, which may also cause that the current expected required time length is different from the initial expected required time length.

S105: and if the current expected required time and the initial expected required time meet preset conditions, determining at least two alternative planning routes according to the current position information and the target position information, and determining a replacement route from the at least two alternative planning routes.

In some embodiments, the preset condition may be that a difference between the current expected required time length and the initial expected required time length exceeds a certain preset ratio, or that the current expected required time length is greater than the initial expected required time length, and the current expected required time length is greater than a preset highest intersection waiting time length, and the like.

In some embodiments, the current expected desired duration comprises a current expected wait duration, the initial expected desired duration comprises an initial expected wait duration, and determining the replacement route from the current location information and the target location information comprises:

and determining a replacement route from the alternative planning route according to the alternative planning route travel parameters.

Generally, in the traveling process, waiting is mostly caused by red lights, courtesy pedestrians, vehicles and the like, so if the current expected required time and the initial expected required time meet the preset condition, that is, the difference between the current expected required time and the initial expected required time exceeds a certain proportion, in the subsequent traveling process of a user, the waiting time of the red lights is too much, the traveling experience of the user is reduced, the satisfaction is reduced, and at the moment, the original priority route can be replaced by determining the route replacement mode to be used as the navigation route.

Optionally, determining a replacement route from the alternative planned route according to the travel parameter includes:

respectively obtaining influence factors of various alternative planned route travel parameters, determining the priority or score of each alternative planned route according to the influence factors of the various alternative planned route travel parameters and the various alternative planned route travel parameters, and further selecting the alternative planned route with the highest priority or score as a replacement route.

And when the travel parameters of the alternative planning routes only comprise the time of the red light and the green light of each road, summing the time of the red light and the green light of each road as the waiting time of the traffic lights, and selecting the alternative planning route with the shortest waiting time of the traffic lights as the replacement route.

In some embodiments, the current expected desired length of time includes a current expected length of travel time, the initial expected desired length of time includes an initial expected length of travel time, and determining the replacement route from the current location information and the target location information includes:

respectively acquiring alternative planned route travel parameters of each alternative planned route, wherein the alternative planned route travel parameters comprise at least one of road gradient, road surface condition, lane number, speed limit information, congestion condition and road curve condition;

determining alternative traveling time of each alternative planning route according to the traveling parameters of the traveled road section, the traveling speed of each traveled road section and the travel parameters of the alternative planning routes;

and determining a replacement route from the alternative planned routes according to the alternative travel time length.

In the case of curves, steep slopes, potholes, dirt roads, etc., the travel speed is related to the user's travel technology, taking driving a vehicle as an example, some users have a low vehicle speed when traveling in a curve and are not good at traveling in the road, and therefore, the proportion of curves can be reduced or avoided in changing routes.

Optionally, the alternative travel time of each alternative planned route may be predicted by combining the travel parameter of the traveled road section and the travel parameter of the alternative planned route in the current trip, so that the obtained alternative travel time of each alternative planned route better conforms to the travel condition of the current user and is more accurate. For example, if the travel speed of the curve in the traveled section is 20km/h, then the speed used for the curve section is also 20km/h when the alternative travel time of the alternative planned route is predicted subsequently, and if there is dirt road in the subsequent section but there is no dirt road in the previous traveled section, the calculation is performed using preset data.

Optionally, the alternative traveling duration may be determined by matching at least one of a road grade, a road surface condition, a number of lanes, speed limit information, a congestion condition, and a road curve condition of each road section of the alternative planned route with a travel parameter of a traveled road section to obtain a traveling speed of a road section corresponding to the alternative planned route.

And if the preference information can be determined according to the initial route planning information, sequencing all the alternative planning routes according to the preference information, and comprehensively determining the replacement route by combining the sequencing of the alternative planning routes and the alternative traveling time.

In some embodiments, the current predicted required time includes a current predicted next intersection waiting time, the initial predicted required time includes an initial predicted next intersection waiting time, and the current predicted required time and the initial predicted required time satisfy the preset conditions including that the current predicted next intersection waiting time is greater than the initial predicted next intersection waiting time, and the current predicted next intersection waiting time is greater than a preset highest intersection waiting time;

and the intersection waiting time of the changed route at each intersection in the changed route is not more than the preset highest intersection waiting time.

The next intersection can be understood as a second intersection after a first intersection in front of the current traveling road, for example, when the current traveling road is a certain road, the nearest intersection is an intersection a, and the next intersection passing through after traveling along the navigation route is an intersection B, the next intersection here is an intersection B.

Optionally, the currently predicted next intersection waiting time period is determined according to the current traveling speed, and the initially predicted next intersection waiting time period is determined based on a criterion for determining the preferred route.

The preset maximum intersection waiting time can be set by a person skilled in the art or a user according to needs. The red light time of some intersections may exceed 100 seconds, the longer waiting time may reduce the experience of the user, and the user can be prevented from encountering the situations by predicting the waiting possibility of the intersections in advance and changing the route in advance. In the driving process of a user, if the predicted time for waiting for the next green light is too long due to speed and other reasons, the most suitable road section can be analyzed for the user to select to drive, and a suitable road is selected in a local area range to avoid the red light or a road condition with less time for waiting for the red light is selected to drive.

In some embodiments, there may be at least two of the following three situations in the current trip: if the current predicted waiting time and the initial predicted waiting time meet the preset condition, the current predicted travelling time and the initial predicted travelling time meet the preset condition, and the current predicted next intersection waiting time and the initial predicted next intersection waiting time meet the preset condition, determining to obtain a replacement route corresponding to each situation according to the method, if at least two obtained replacement routes are the same, taking the replacement route as a final replacement route, if at least two obtained replacement routes are different, prompting a user to select or giving priority to less waiting or road condition optimization according to a travelling mode selected by the user, if the travelling mode is less waiting, taking the replacement route determined by any situation that the current predicted waiting time and the initial predicted waiting time meet the preset condition or the current predicted next intersection waiting time and the initial predicted next intersection waiting time meet the preset condition as the final replacement route, and if not, taking the determined replacement route as the final replacement route under the condition that the current predicted travel time and the initial predicted travel time meet the preset conditions.

S106: and updating the navigation route to the replacement route.

The current navigation route is updated to the replacement route, so that the time consumption and waiting condition of the subsequent travel can be predicted according to the condition of the previous travel in the traveling process in time, and when the current predicted required time and the initial predicted required time meet preset conditions, namely the previous travel possibly causes the deviation of the subsequent travel from the previous prediction, and the time consumption is longer and/or the travel experience is poorer, the subsequent travel is adjusted in time, the user experience is improved, the navigation process is more intelligent, and the user requirements are met.

Optionally, before the navigation route is updated to the replacement route, the current navigation route (preferred route) and the replacement route may be compared and prompted, for example, at least a part of travel parameters of the current navigation route and the replacement route are compared and prompted, so that the user may select whether to update the navigation route. When the user determines that the navigation route needs to be updated, the navigation route is updated. The mode of the contrast prompt can be a visual display mode, a voice broadcast mode and the like. The comparative cues may include, but are not limited to, at least one of an expected required duration, an expected wait duration, a suggested travel speed, a number of intersections, whether there are curves, whether there are dirt roads, potholes, etc., for each of the preferred route and the replacement route.

In some embodiments, the intelligent travel navigation method further includes:

acquiring the traffic light state and the current intersection distance of the current intersection in the navigation route;

and determining the recommended travel speed according to the current intersection distance and the current intersection traffic light state, and reminding.

The current intersection traffic light state and the current intersection distance from the current intersection in the navigation route are acquired at any time in the process of traveling (including waiting during traveling), the data (the current intersection traffic light state and the current intersection distance) can be acquired based on a related technology mode, and the specific acquisition mode is not limited herein.

Alternatively, the suggested travel speed may be the suggested travel speed at the current intersection (the first intersection encountered during the course of continuing to travel).

Therefore, the user can be prompted to move at a certain speed so as to pass through the traffic light at a better time, and time is saved.

Optionally, when the suggested travel speed is prompted, the countdown of the traffic light at the current intersection and/or the countdown of the traffic light at the next intersection can be prompted at the same time. Therefore, the relevant information can be more intuitively displayed for the user. If the current intersection is indicated to be red and the current intersection is indicated to turn green within 15 seconds, a time dimension can be more intuitively given to a user on the basis of the speed dimension, the speed is increased or reduced, and the current intersection can be passed through at a reasonable time.

In some embodiments, the route planning initial information further includes travel information, and before the route planning initial information is acquired, the method further includes:

acquiring trip information sending position information;

In some embodiments, the route planning initial information further includes at least one of a travel mode and travel information sender identity identification information, a preferred route and an alternative planning route are determined according to the travel mode, preference information of the travel information sender is determined according to the travel information sender identity identification information, the preferred route and a replacement route are determined, and the preference information includes at least one of a preferred red street lamp quantity, a preferred single-road lipstick street lamp waiting time, a preferred road gradient, a preferred road surface condition, a preferred lane quantity, preferred speed limit information and a preferred road curve condition.

Optionally, the travel information may be obtained by related technical means, including but not limited to voice recognition, picture recognition, external instruction input, and the like.

Optionally, the travel mode includes, but is not limited to, walking, running, driving a car, driving a non-motorized vehicle, driving a truck, co-traveling with a child, co-traveling with a pregnant woman or an elderly person, etc.

The adaptive preferred route and the replacement route may be selected according to the travel pattern. For example, when traveling with a pregnant woman, the route to be traveled is often required to be relatively flat and safe, and therefore, the pothole road surface is avoided as much as possible when the preferred route is selected or the route is changed.

The map information of the preset range around the trip information sending position can be stored in the corresponding server or terminal in advance, so that after the user determines a destination, a reasonable route can be rapidly planned for the user, and the user experience degree can be improved.

The preference information is information pre-stored in a preset location of a terminal, a server, or the like, and may be determined based on analysis of historical travel data related to the travel information sender, or based on information collection performed in advance with the travel information sender, for example, by filling in a report, determining the preference information through voice data collection, or other realizable technical means in the field.

When a preferred route and a replacement route are subsequently determined, a route more conforming to the user's preference may be selected as the navigation route based on the preference information.

For example, after a plurality of alternative planned routes are acquired, the influence factor of the travel parameter preferred by the travel information sender is set to be a larger value, and the non-preferred travel parameter of the travel information sender is not considered or is given a lower influence factor, so that the grade or score of each alternative planned route can be determined through the plurality of influence factors and the travel parameter, and the alternative planned route with the highest grade or score is selected as the replacement route. If the grades or scores of the two alternative planning routes are the same, the most preferred information of the trip information sender can be obtained, and if a straight road is preferred, one of the two alternative planning routes with more straight roads is selected as a replacement route.

Similarly, for the determination of the preferred route, preference information is also considered in the determination process to improve the user satisfaction.

Optionally, the preferred pavement conditions include, but are not limited to, rural pavement, cement pavement (grading), cement pavement (potholes), asphalt pavement, number of speed bumps on the pavement, and the like.

Alternatively, the road curve conditions in the preferred road curve conditions include, but are not limited to, the total length of the curve, the average curve curvature of the curve, the longest continuous curve length, the maximum curve curvature of the curve, and the like.

Optionally, the target location information may include one or more destination location information, and when an arrival order of the plurality of destinations is preset, the destination location information may be planned according to the arrival order when planning the route to be selected and the alternative planned route. When the arrival sequence of a plurality of destinations is not preset, the route planning can be carried out on the arrival sequence of the permutation and combination after the permutation and combination is carried out according to the arrival sequence when the route to be selected and the alternative planning route are planned subsequently. For example, the departure point is a, the destination point is B, C, D, and in this case, if any destination point is not reached, the route planning can be performed according to the arrival sequence of the permutation and combination of ABCD, ABDC, ACBD, ACDB, ADCB, and ADBC.

In some embodiments, the intelligent travel navigation method further comprises:

and recording the travel parameters of the navigation travel and the travel speed of each road section.

The trip parameters include but are not limited to at least one of road gradient, road surface condition, lane number, speed limit information, congestion condition, traffic light number under road curve condition, red and green light time of each road and intersection number.

By comparing the travel parameters, the travel speed of each road section and the theoretical travel speed of each road section, the preference information of the user can be obtained through analysis, and the user can conveniently use the next navigation. The theoretical travel speed of each road segment can be obtained according to related technical means, and is not limited herein.

Optionally, the intelligent travel navigation method provided by this embodiment may rely on local communication with the server, and the server determines whether the navigation route needs to be updated, or may load relevant data to the local, determine whether the navigation route needs to be updated by the local, and determine and update the route by the local. Or the realization of the method depends on the information interaction between the local and the server, and the like.

According to the intelligent travel navigation method provided by the embodiment of the invention, route planning initial information is obtained, a preferred route is determined as a navigation route, the navigation route is traveled along the navigation route, current position information is obtained in the traveling process, the current expected required time is determined, the current expected required time is compared with the initial expected required time, if the current expected required time and the initial expected required time meet preset conditions, at least two alternative planning routes are determined according to the current position information and the target position information, a replacement route is determined from the at least two alternative planning routes, and the navigation route is updated to the replacement route. Whether the current navigation route is the optimal route or not can be monitored in the traveling process, if the current navigation route does not travel according to the time node planned by the current navigation route, and the difference between the current expected required time and the initial expected required time exceeds a certain proportion, the current navigation route is not suitable for a user, the route can be timely and relievedly determined and changed, the navigation route is adjusted, the user experience degree is improved, the navigation route is more accurate, the current fast-paced society is better adapted, and more users can join in more intelligent travel ranks.

In the solutions of the related navigation systems, a user cannot judge the red light waiting time and the possible waiting time of a front intersection in the current driving process, so that the red light waiting time is increased, the oil consumption is increased in the driving process, and a scheme suitable for traveling cannot be accurately selected. The following describes the above-mentioned intelligent travel navigation method by an exemplary embodiment, and the specific intelligent travel navigation method is applied to a user terminal device, and under the condition that the terminal device is networked and installed with corresponding software, the road condition of the position where the user is located is obtained through data transmission, and the traffic light state of the front intersection and the time length for switching the traffic light are judged. Referring to fig. 2, the specific intelligent travel navigation method includes:

s201: and judging whether corresponding software is installed, if so, executing the step S202, and if not, executing the step S204.

And if the terminal does not install the navigation program, prompting the user to install the navigation program.

The navigation program may be in the form of an applet, APP, etc., and is not limited herein.

S202: and acquiring the position of the user, and waiting for a user use instruction.

After downloading and installing the terminal navigation program, the user downloads and installs the terminal navigation program as trip information, acquires the sending position information of the trip information, sends the trip information to the server for information comprehensive analysis, and waits for the user to use. For example, at least one of map information, traffic light information at traffic gate, and building information of trade mark is obtained in advance according to the trip information sending position. The preset range may be a distance preset by a person skilled in the art or a user, such as 500 meters around, 2000 meters around, or 10000 meters around, and is not limited herein.

Before the use instruction is not sent, the user can also interact with the server at regular time, the trip information sending position is updated, and the pre-acquired map information is updated.

S203: the user starts the navigation.

When a user starts navigation, route planning initial information is obtained, the route planning initial information comprises travel modes (running, walking, bicycles, trolleys, automobiles and the like), initial position information and target position information, a plurality of routes to be selected can be determined according to the route planning initial information, and travel parameters of the routes to be selected can be determined at the same time, the travel parameters of the routes to be selected include but are not limited to at least one of traffic light quantity, red light and green light time of each road, intersection quantity, road gradient, road surface condition, lane quantity, speed limit information, congestion condition, road curve condition, recommended travel speed, initial expected required time corresponding to travel based on the recommended travel speed and the like. The recommended travel speed can be calculated according to the current position and the red light state to reduce waiting of the red light. The user can independently select the preferred route by showing at least a part of the to-be-selected route travel parameters of each to-be-selected planning route to the user, and the preferred route can also be determined according to a preset selection rule and used as the navigation route.

In the user traveling process, the current position information of the user is acquired in real time, the current intersection distance from the current intersection and the current intersection traffic light state are acquired, and then the recommended traveling speed can be determined for real-time reminding.

Optionally, the determination of the recommended travel speed may also be performed by analyzing and determining the road condition in combination with the vehicle speed of the current road section and the like.

Optionally, the driving correction may be performed in the traveling process, during the traveling process of the user, the predicted green light may be missed due to the traveling speed problem, and the waiting time for the next green light is too long (the currently predicted required time and the initially predicted required time meet the preset condition), the user may be provided to select a trip by determining the most suitable road section (the replacement route), and select a suitable road to avoid the red light in the local range or select a road condition with less waiting time for the red light to travel, that is, at least two alternative planned routes may be determined according to the current position information and the target position information, the replacement route may be determined from the at least two alternative planned routes, and the navigation route is updated by the replacement route.

S204: and (5) installing equipment.

And if the corresponding software is not installed, installing the corresponding software into the terminal for subsequent normal use.

The embodiment of the invention provides a more accurate travel mode, and the route is more accurately calculated according to road conditions, red lights, traveling speed and the like, so that the method is more suitable for the current fast-paced society, and more users can join in more intelligent travel ranks.

Example two

Referring to fig. 3, an embodiment of the present invention further provides an intelligent travel navigation system, including:

an initial information obtaining module 301, configured to obtain initial route planning information, where the initial route planning information includes initial position information and target position information;

a preferred route determining module 302, configured to determine a preferred route according to the initial route planning information, and take the preferred route as a navigation route to travel along the navigation route;

a current expected required duration determining module 303, configured to obtain current location information and determine a current expected required duration;

an initial expected required time length determining module 304, configured to obtain an initial expected required time length, where the initial expected required time length is a time length required for traveling along a preferred route from current location information to target location information when the preferred route is determined;

a replacement route determining module 305, configured to determine at least two alternative planning routes according to the current location information and the target location information if the current expected required time and the initial expected required time meet a preset condition, and determine a replacement route from the at least two alternative planning routes;

an updating module 306 for updating the navigation route to the replacement route.

In this embodiment, the intelligent travel navigation system is substantially provided with a plurality of modules for executing the intelligent travel navigation method according to the first embodiment, and specific functions and technical effects are only required by referring to the first embodiment, which is not described herein again.

Referring to fig. 4, an embodiment of the present invention further provides an electronic device 1300, which includes a processor 1301, a memory 1302, and a communication bus 1303;

communication bus 1303 is used to connect processor 1301 and memory 1302;

the processor 1301 is adapted to execute a computer program stored in the memory 1302 to implement a method according to any one of the above embodiments.

An embodiment of the present invention also provides a computer-readable storage medium, characterized in that, a computer program is stored thereon,

computer program for causing a computer to perform a method as described in any one of the above embodiments.

Embodiments of the present application also provide a non-transitory readable storage medium, where one or more modules (programs) are stored in the storage medium, and when the one or more modules are applied to a device, the device may execute instructions (instructions) included in an embodiment of the present application.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In the corresponding figures of the above embodiments, the connecting lines may represent the connection relationship between the various components to indicate that more constituent signal paths (consistent _ signal paths) and/or one or more ends of some lines have arrows to indicate the main information flow direction, the connecting lines being used as a kind of identification, not a limitation on the scheme itself, but rather to facilitate easier connection of circuits or logic units using these lines in conjunction with one or more example embodiments, and any represented signal (determined by design requirements or preferences) may actually comprise one or more signals that may be transmitted in any one direction and may be implemented in any suitable type of signal scheme.

In the above embodiments, unless otherwise specified, the description of common objects by using "first", "second", etc. ordinal numbers only indicate that they refer to different instances of the same object, rather than indicating that the objects being described must be in a given sequence, whether temporally, spatially, in ranking, or in any other manner.

In the above-described embodiments, reference in the specification to "the embodiment," "an embodiment," "another embodiment," or "other embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiments is included in at least some embodiments, but not necessarily all embodiments. The various appearances of the phrase "the present embodiment," "one embodiment," or "another embodiment" are not necessarily all referring to the same embodiment. If the specification states a component, feature, structure, or characteristic "may", "might", or "could" be included, that particular component, feature, structure, or characteristic is not necessarily included. If the specification or claim refers to "a" or "an" element, that does not mean there is only one of the element. If the specification or claim refers to "a further" element, that does not preclude there being more than one of the further element.

In the embodiments described above, although the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory structures (e.g., dynamic ram (dram)) may use the discussed embodiments. The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The invention is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.

The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims

1. An intelligent travel navigation method is characterized by comprising the following steps:

updating the navigation route to the replacement route.

2. The intelligent travel navigation method according to claim 1, wherein the current expected required duration comprises a current expected waiting duration, the initial expected required duration comprises an initial expected waiting duration, and determining a replacement route according to the current location information and the target location information comprises:

3. The intelligent travel navigation method according to claim 1, wherein the current expected required duration comprises a current expected travel duration, the initial expected required duration comprises an initial expected travel duration, and determining a replacement route according to the current location information and the target location information comprises:

4. The intelligent travel navigation method according to claim 1, wherein the currently predicted required duration comprises a currently predicted next intersection waiting duration, the initially predicted required duration comprises an initially predicted next intersection waiting duration, the currently predicted required duration and the initially predicted required duration satisfy a preset condition including that the currently predicted next intersection waiting duration is greater than the initially predicted next intersection waiting duration, the currently predicted next intersection waiting duration is greater than a preset highest intersection waiting duration, and a replacement route intersection waiting duration of each intersection in the replacement route is not greater than the preset highest intersection waiting duration.

5. The intelligent travel navigation method according to any one of claims 1 to 4, further comprising:

6. The intelligent travel navigation method according to any one of claims 1 to 4, wherein the route planning initial information further includes travel information, and before the route planning initial information is acquired, the method further includes:

acquiring trip information sending position information;

7. The intelligent travel navigation method according to any one of claims 1 to 4, wherein the route planning initial information further includes at least one of a travel mode and travel information sender identification information, the preferred route and the alternative planned route are determined according to the travel mode, preference information of a travel information sender is determined according to the travel information sender identification information, and the preferred route and the replacement route are determined, the preference information includes at least one of a preferred number of red street lamps, a preferred single-lane lipstick street lamp waiting time, a preferred road grade, a preferred road surface condition, a preferred lane number, a preferred speed limit information, and a preferred road curve condition.

8. An intelligent travel navigation system, comprising:

9. An electronic device comprising a processor, a memory, and a communication bus;

the communication bus is used for connecting the processor and the memory;

the processor is configured to execute the computer program stored in the memory to implement the intelligent travel navigation method according to any one of claims 1-8.

10. A computer-readable storage medium, having stored thereon a computer program,

the computer program is for causing the computer to execute the intelligent travel navigation method according to any one of claims 1-8.