TWI573987B - Vehicle route planning system - Google Patents

Description

Driving route planning system

The present invention relates to a driving route planning system, and more particularly to an immediately updated driving route planning system.

The positioning of the position coordinates of the mobile vehicle by using the Global Position System (GPS) installed on the mobile vehicle, combined with the relevant map information as the basis for navigation system navigation, has already The popularity of GPS has gradually become the standard equipment for mobile vehicles. It is true that traditional navigation systems can use map information, for example, the road connection between the destination and the starting point, the distance between the destination and the starting point, etc., as the basis for the path between the calculation destination and the starting point. . However, in the actual driving process, in addition to the analysis of the road connection method to find the shortest path in the geographical situation, it is still necessary to consider the actual traffic conditions of the road passing through the path, and also affect the actual delivery of the vehicle to the destination. The time required. In addition, traffic conditions on the road can be further divided into predictable and unpredictable traffic conditions, while traditional map information does not provide relevant information. It can be seen that the above existing architecture obviously has inconveniences and defects, and needs to be further improved. □Understanding the above-mentioned problems, the relevant fields do not bother to find solutions. Therefore, how to effectively solve the above problems is one of the current important research and development topics, and it is also an urgent need for improvement in the relevant fields.

A technical aspect of the present invention relates to a driving route planning system, which comprises an image analysis module that instantaneously generates an immediate driving condition signal according to peripheral images and position signals of a plurality of in-vehicle terminal devices, and analyzes the driving route through the driving route. The group combines the instant driving status signal with the map data to generate real-time traffic map data. In this way, after the central processing module of the in-vehicle terminal device receives the driving end point setting input by the user, the driving route analysis module can further generate the best according to the position signal of the in-vehicle terminal device, the driving end point setting, and the real-time road condition map data. The driving route signal is sent to the corresponding in-vehicle terminal device. After receiving the optimal driving route signal, the display module of the vehicle terminal device can display the navigation image according to the optimal driving route signal. The vehicle terminal device can plan the optimal driving route according to the real-time road map data updated at any time, so that the navigation mobile vehicle can better shorten the time required to move from the current position to the driving end point.

The present invention provides a driving route planning system configured to instantly capture position signals and peripheral images from a plurality of vehicle-mounted terminal devices. The driving route planning system includes an image analysis module and a driving route analysis module. The image analysis module is configured to instantly generate an immediate driving condition signal according to the surrounding image of the vehicle terminal device and the position signal. The driving route analysis module is configured to generate real-time traffic map data in combination with the instantaneous driving condition signal and the map data. After one of the in-vehicle terminal devices receives the driving end point setting input by the user, the driving route analysis module can further generate an optimal driving route signal according to the position signal of the in-vehicle terminal device, the driving end point setting, and the real-time road condition map data. The vehicle terminal device that receives the driving destination setting. The display module of the vehicle terminal device that receives the best driving route signal can display the navigation image according to the optimal driving route signal.

In one or more embodiments of the present invention, the image analysis module is further configured to select a peripheral image of a neighbor in the vehicle terminal device according to the position signal of the vehicle terminal device to synthesize the traffic image corresponding position signal. The image analysis module calculates the traffic density in the traffic image to generate an immediate driving condition signal.

In one or more embodiments of the present invention, the driving route planning system may further include a historical driving record module. The historical driving record module can record a plurality of instantaneous driving condition signals with time change, and generate corresponding time labels according to the generating times of the plurality of instant driving condition signals respectively. The historical driving record module can further combine historical driving status signals with time tags to generate historical traffic flow data. The driving route analysis module can combine the real-time driving condition signal, the historical traffic flow data and the map data to generate real-time traffic map data.

In one or more embodiments of the present invention, the driving route analysis module is further configured to generate a plurality of possible route data by using the position signal and the driving end point setting. The driving route analysis module can calculate a plurality of pre-judgment arrival times according to possible route data and real-time time. A plurality of pre-judgment arrival times respectively correspond to possible route data. The driving route analysis module can update the real-time traffic map data according to the historical traffic flow data corresponding to the predicted arrival time.

In one or more embodiments of the present invention, the above-mentioned possible route data includes a plurality of possible routes. The driving route analysis module calculates the total driving time of the mobile vehicle corresponding to the plurality of possible routes according to the real-time road map data. The smallest route possible in the total driving time is the best driving route and accordingly generates the best driving route signal.

In one or more embodiments of the present invention, the driving route planning system is further configured to retrieve an in-vehicle terminal device speed signal from each in-vehicle terminal device. The image analysis module is further configured to generate an immediate driving condition signal according to the vehicle terminal device speed signal, the peripheral image and the position signal.

In one or more embodiments of the present invention, the driving route planning system further includes an accident module configured to determine whether an accident occurs according to the surrounding image. When an accident occurs, the accident module is configured to notify a plurality of in-vehicle terminal devices and generate an accident signal. The driving route analysis module regenerates the real-time traffic map data based on the accident signal, the immediate driving status signal and the map data.

The present invention provides an in-vehicle terminal device configured to be coupled to a driving route planning system. The vehicle terminal device includes a positioning module and a central processing module. The positioning module continuously sends the position signal to the driving route planning system. The central processing module is configured to receive the driving end point setting and send the driving end point setting to the driving route planning system. The central processing module is further configured to receive an optimal driving route signal generated by the driving route planning system according to the driving destination setting and the position signal.

In one or more embodiments of the present invention, the in-vehicle terminal device further includes an image capturing module. The image capture module is configured to record peripheral images of the in-vehicle terminal device and send them to the driving route planning system.

The embodiments of the present invention are disclosed in the following drawings, and the details of However, it should be understood that these practical details are not intended to limit the invention. That is, in some embodiments of the invention, these practical details are not necessary. In addition, some of the conventional structures and elements are shown in the drawings in a simplified schematic manner in order to simplify the drawings.

1 is a block diagram showing the organization of a driving route planning system 100 in accordance with various embodiments of the present invention. As shown in FIG. 1, the driving route planning system 100 can capture position signals and peripheral images from a plurality of vehicle-mounted terminal devices 120, respectively. In various embodiments, the in-vehicle terminal device 120 can include a positioning unit 122 and an image capturing module 124. The positioning unit 122 can generate a position signal according to the position of the in-vehicle terminal device 120. In various embodiments, the image capture module 124 can capture the periphery of the vehicle-mounted terminal device 120 to generate peripheral images. That is to say, in practical applications, the in-vehicle terminal device 120 may be a satellite navigation device provided on a mobile vehicle (for example, a car) and having a photographing function. Or even in some embodiments, the photographic function and the satellite navigation device can be located separately on different devices. In various embodiments, the driving route planning system 100 can be the cloud server 140. The cloud server 140 includes an image analysis module 142 and a driving route analysis module 144. The image analysis module 142 can instantly generate an immediate driving condition signal according to the position signal generated by the positioning unit 122 of the vehicle terminal device 120 and the surrounding image recorded by the image capturing module 124. The driving route analysis module 144 can generate real-time traffic map data in combination with the instantaneous driving condition signal and the map data. In various embodiments, the in-vehicle terminal device 120 may further include a central processing module 126. In various embodiments, the central processing module 126 can be a touch input module, a voice input module, or other suitable input module. In various embodiments, the central processing module 126 can interact with the display module 128 of the in-vehicle terminal device 120. After the central processing module 126 of one of the in-vehicle terminal devices 120 receives the driving end point setting input by the user, the driving end point setting is transmitted to the cloud server 140, and after being taken by the driving route analysis module 144, the The location generates an optimal driving route signal based on the current position signal of the vehicle terminal device 120, the driving destination setting, and the real-time traffic map data. The optimal driving route signal is generated corresponding to the in-vehicle terminal device 120 that receives the driving destination setting, and is transmitted to the corresponding in-vehicle terminal device 120. For example, it is transmitted to the central processing module 126 of the in-vehicle terminal device 120, but is not limited thereto. The in-vehicle terminal device 120 may further include a display module 128. When the optimal driving route signal is transmitted to the in-vehicle terminal device 120 that receives the driving destination setting, the display module 128 of the in-vehicle terminal device 120 that receives the optimal driving route signal may be Display navigation images based on the optimal driving route signal.

By using the position signal of each in-vehicle terminal device 120 and the peripheral image of the corresponding position signal, the instantaneous driving condition signal generated by the image analyzing module 142 can immediately include the driving situation of the position of each in-vehicle terminal device 120, for example, Driving conditions such as smooth driving conditions, slightly traffic flow or congestion. At this time, by connecting the real-time driving condition signal and the map data, the driving route planning system 100 can update the driving condition of any route on the map data more immediately, and provide the driving route analysis module 144 for reference. In this way, when the vehicle terminal device 120 receives the driving terminal setting and transmits to the cloud server 140, the driving route analysis module 144 can generate a plurality of possible routes according to the current position signal and the driving destination setting of the vehicle terminal device 120, and The plurality of possible routes are combined with the driving conditions of the paths in the real-time traffic map data, and the shorter driving time in the possible routes is preferably selected as the optimal driving route. Further, the cloud server 140 transmits the optimal driving route signal generated according to the optimal driving route to the in-vehicle terminal device 120 that receives the driving destination setting. In various embodiments, the display module 128 of the in-vehicle terminal device 120 can generate a navigation image and display it on the display module 128 for reference by the user, but is not limited thereto. For example, in other embodiments, the in-vehicle terminal device 120 can also be mounted on an autonomously driven unmanned vehicle, and the self-driving unmanned vehicle can determine the driving route based on the optimal driving route. Since the map data referenced by the driving route planning system 100 is map data generated in combination with the immediate driving condition, the driving condition at the time of driving can be accurately reflected to generate an optimal driving route, instead of relying solely on the path distance to determine the driving route. . The driving route planning system 100 can help the user to save the amount of gasoline, electric energy, etc. consumed during driving, or the time required for driving.

It should be noted that the calculation method of the optimal driving route described herein is only an example. In various embodiments, the driving route analysis module 144 may include other one or more different algorithms to determine the best. The driving route, for example, the weighting method, etc., is not limited thereto. It should be understood that those skilled in the art can make the same changes and modifications without departing from the spirit and scope of the disclosure, as long as the driving route analysis module 144 can be based on the real-time road map data. And when the mobile vehicle passes the best driving route from a plurality of possible paths, the time required for driving can be the shortest.

In various embodiments, the image analysis module 142 may further select a peripheral image captured by a neighbor of the vehicle-mounted terminal device 120 from the geographic space according to the position signal generated by the positioning unit 122 of the vehicle-mounted terminal device 120, and jointly synthesize and The traffic image corresponding to the position signal of the in-vehicle terminal device 120. In various embodiments, the vehicle image synthesized by the peripheral images may be a two-dimensional image or a three-dimensional image. The image analysis module 142 can calculate the traffic density in the traffic image to determine the driving situation of the corresponding position signal, for example, the driving condition is smooth, the traffic is slightly increased or blocked, and the instantaneous driving condition signal is generated accordingly.

In various embodiments, the traffic density within the traffic image can be calculated by the number of mobile vehicles present in the unit area. In various embodiments, the traffic density within the traffic image can be calculated by the number of mobile vehicles passing through the traffic image per unit time. It should be understood that the calculation method of the traffic density described herein is merely an example, and is not intended to limit the present invention, as long as the traffic density under different driving conditions is significantly different, and the image analysis module 142 can determine the driving. The situation is fine. For example, when the traffic density is high, the image analysis module 142 determines that the driving condition is a congestion. When the traffic density is relatively medium, the image analysis module 142 determines that the driving condition is slightly more traffic. When the traffic density is low, the image analysis module 142 determines that the driving condition is smooth.

In various embodiments, the peripheral image can be a single image. In various embodiments, the peripheral image may be a streaming movie formed by a plurality of images. In various embodiments, the peripheral image may be an image of a fixed orientation relative to the mobile carrier. In various embodiments, the peripheral image may be an image that is recorded in a different direction relative to the rotation of the mobile vehicle. When the peripheral image is transmitted to the image analysis module 142, the image analysis module 142 can capture a part of the peripheral image, splicing a plurality of different peripheral images into a single image, or splicing the peripheral images at different times into a stream of movies. It should be understood that the manner of capturing the peripheral images described herein is not intended to limit the present invention, as long as the image analysis module 142 can compare the traffic density under different driving conditions according to the surrounding images, and is available to the image analyzing module 142. Judging the driving situation.

In various embodiments, the positioning unit 122 of the in-vehicle terminal device 120 can include a global positioning system (GPS). The positioning unit 122 can locate the coordinates of the in-vehicle terminal device 120 and the height relative to the sea level according to the position of the in-vehicle terminal device 120. For example, coordinates such as 122 degrees 15 minutes 47 seconds east longitude, 23 degrees 75 minutes 11 seconds north latitude, and height information 1 meter high from the ground and 10 meters above the ground, and can be based on the positioned vehicle terminal The coordinate information of the device 120 and the height information generate a position signal. Therefore, the position signal of the in-vehicle terminal device 120 may include coordinate information and altitude information, which respectively correspond to the position coordinates and the position height of the in-vehicle terminal device. In this way, the in-vehicle terminal device 120 can be located on a flat road, an elevated road or other roads to prevent the roads of different heights from confusing the driving route analysis module 144 to generate an optimal driving route signal.

In various embodiments, the driving route planning system 100 can further include a historical driving record module 148. The historical driving record module 148 can record a plurality of instantaneous driving condition signals and corresponding generation time according to the time, and generate a time tag according to the generation time to provide the historical driving record module 148 to further merge the immediate driving condition signal. The historical traffic flow data 146 is generated with the time stamp. The driving route analysis module 144 can combine the immediate driving condition signal, the historical driving traffic data 146 and the map data to generate the real-time traffic map data. As such, the driving route planning system 100 can select appropriate historical traffic flow data 146 based on the time period to predict driving conditions for the same time period at different times but with similar traffic density. For example, the historical traffic flow data 146 can be divided into traffic flow data during the week time and traffic flow data at the weekend time. For example, the historical traffic flow data 146 can be divided into traffic flow data at different times of the day, such as the shift time, meal time, off-duty time, peak time, or off-peak time, etc., including but not limited to.

In various embodiments, the driving route analysis module 144 may further generate a plurality of possible route data according to the location signal of the vehicle terminal device 120 and the driving destination setting received from the central processing module 126. The driving route analysis module 144 can calculate a plurality of pre-judgment arrival times according to the possible route data and the instant time. The predicted arrival time corresponds to the possible route data. In various embodiments, the driving route analysis module 144 may update the real-time traffic map data according to the historical traffic flow data 146 corresponding to the predicted arrival time. That is to say, the real-time traffic map data described here may be generated by the traffic flow data of the similar time period in the historical traffic flow data 146 in addition to the current driving condition, and may be corresponding to the predicted arrival time. Driving conditions. For example, the driving situation at 6 o'clock on Friday is estimated by the driving situation at 6 o'clock last Friday, but it is not limited to this. It should be understood that the calculation of the driving condition on the future possible route by the historical traffic flow data 146 is only an example, and is not intended to limit the present invention, as long as it can estimate the possible driving situation when the possible route is reached in the future. Just fine. Those skilled in the art will be able to make the same changes and modifications without departing from the spirit and scope of the present disclosure.

In various embodiments, the possible route data may include a plurality of possible routes. The driving route analysis module 144 calculates a plurality of driving total time according to the real-time road map data, and respectively corresponds to the possible routes. In various embodiments, the driving route analysis module 144 respectively passes various possible routes in the possible route data at an estimated rate. In various embodiments, the estimated rate may be correspondingly generated based on different driving conditions for each path. For example, when the driving condition is smooth, the estimated rate is high. When the driving situation is slightly more traffic, the estimated rate is medium. When the driving condition is congestion, the estimated rate is low. In various embodiments, the estimated rate can also be set according to different mobile vehicles. The driving route analysis module 144 then divides the distance of the possible route by the estimated rate to obtain the driving time and adds up to obtain the driving total time. The smallest route among the total driving time is the best driving route, and the best driving route signal is generated accordingly. In this way, when the user drives according to the optimal driving route, the driving time and the amount of gasoline or electricity consumed during driving can be saved.

In various embodiments, the driving route planning system 100 can further retrieve the in-vehicle terminal device speed signal from each of the in-vehicle terminal devices 120. In various embodiments, the vehicle-mounted terminal device 120 can include a speed module (not shown) configured to generate a vehicle-mounted terminal device speed signal. In other embodiments, the cloud server 140 can capture the vehicle terminal device speed signal through the positioning unit 122 of each vehicle terminal device 120. The image analysis module 144 can further generate an immediate driving condition signal according to the vehicle terminal device speed signal, the peripheral image and the position signal. For example, when the speed displayed by the vehicle terminal device speed signal is high, the driving condition is smooth. When the speed displayed by the vehicle terminal device speed signal is medium, the driving condition is slightly more traffic. When the speed displayed by the vehicle terminal device speed signal is low, the driving condition is congestion.

In various embodiments, the driving route planning system further includes an accident module, and can immediately determine whether an accident occurs according to the surrounding image. When an accident occurs, the accident module can notify a plurality of adjacent vehicle-mounted terminal devices 120 and generate an accident signal. In various embodiments, the accident signal can include an accident location coordinate and an accident image. In various embodiments, the accident module can send an accident signal to the relevant accident handling authority. In various embodiments, the driving route analysis module 144 may regenerate the real-time road map data according to the accident signal, the immediate driving condition signal, and the map data, and mark the accident in the map data corresponding to the position of the accident location coordinate.

In various embodiments, the driving route planning system 100 can further capture a plurality of fixed traffic images from the plurality of fixed image capturing modules 160, respectively. The image analysis module can further generate an immediate driving condition signal according to the fixed traffic image, the surrounding image and the position signal. The image analysis module 142 can calculate the traffic density in the traffic image generated by the fixed traffic image and the surrounding image to determine the driving situation of the corresponding location signal. In various embodiments, the traffic density within the traffic image can be calculated by the number of mobile vehicles present in the unit area. In various embodiments, the traffic density within the traffic image can be calculated by the number of mobile vehicles passing through the traffic image per unit time. It should be understood that the calculation method of the traffic density described herein is merely an example, and is not intended to limit the present invention, as long as the traffic density under different driving conditions is significantly different, and the image analysis module 142 can determine the driving. The situation is fine. For example, when the traffic density is high, the driving condition is congestion. When the traffic density is moderate, the traffic situation is slightly more traffic. When the traffic density is low, the driving situation is smooth.

2 is a flow chart showing a method 200 of a driving route suggestion in accordance with various embodiments of the present invention. The driving route suggesting method 200 includes steps S210 to S250. In step S210, peripheral images and position signals of the plurality of in-vehicle terminal devices are instantaneously captured or received by the cloud server. In step S220, the cloud server can immediately determine the instantaneous driving condition according to the plurality of peripheral images and the position signal. In step S230, the cloud server combines the instant driving condition with the map data to generate an instant road condition map. In step S240, the cloud server can receive the driving end point setting input by the user received by one of the in-vehicle terminal devices, and generate the position signal, the driving end point setting, and the real-time road condition map of the in-vehicle terminal device set by receiving the driving end point. The best driving route. In step S250, the cloud server sends the optimal driving route to the in-vehicle terminal device that receives the driving destination setting.

The driving route suggesting method 200 instantly captures or receives the peripheral signals of the plurality of in-vehicle terminal devices and the surrounding image of the corresponding position signal, and instantaneously generates the instantaneous driving condition according to the plurality of peripheral images and the position signals, which immediately includes a plurality of Driving conditions at the location of the vehicle terminal device. For example, driving conditions are smooth, traffic is slightly more, or traffic is blocked. At this time, through the combination of the immediate driving condition and the map data, the driving route suggesting method 200 can update the driving condition of any route on the map data more immediately as a reference for generating the optimal driving route. In this way, when the vehicle terminal device receives the driving destination setting, the driving route suggesting method 200 can generate a plurality of possible routes according to the current position signal and the driving destination setting of the vehicle terminal device, and combine the plurality of possible routes with the real-time traffic map data. For the driving condition of each route, it is preferable to select the shorter driving time among the possible routes as the optimal driving route. Further, the driving route suggesting method 200 can transmit an optimal driving route to the in-vehicle terminal device that receives the driving destination setting. Since the map data referenced by the driving route suggesting method 200 is the map data generated by combining the immediate driving condition, the driving condition at the time of driving can be accurately reflected to generate the optimal driving route, instead of relying solely on the path distance to determine the driving route. .

In various embodiments, the step of the driving route suggesting method 200 may include selecting a peripheral image captured by a neighbor in the geographic space from the in-vehicle terminal device according to the position signal of each in-vehicle terminal device, and synthesizing the traffic image. According to the traffic image, the actual driving situation is judged.

In various embodiments, the step of the driving route suggestion method 200 can include generating an instant road map based on the immediate driving condition, the historical driving flow data, and the map data. The historical traffic flow data records a plurality of instantaneous driving conditions over time, and generates a time label according to the generation time of the immediate driving condition, and further generates the combination of the instantaneous driving condition and the time label.

In various embodiments, the step of the driving route suggesting method 200 may include generating a plurality of possible routes based on the position signal and the driving end point setting of the in-vehicle terminal device that receives the driving destination setting. According to the possible route, the predicted arrival time is respectively calculated corresponding to the possible route. The real-time traffic map is updated according to the historical traffic flow data corresponding to the predicted arrival time.

In various embodiments, the step of the driving route suggesting method 200 may include calculating a plurality of driving total time corresponding to the possible routes according to the possible route and the immediate traffic map. The best route to pick the smallest of the total driving time is the best driving route.

In various embodiments, the steps of the driving route suggestion method 200 can include transmitting an optimal driving route to receiving an in-vehicle terminal device having a driving terminal setting. In various embodiments, the step of the driving route suggesting method 200 may include displaying a navigation route to the display module of the in-vehicle terminal device according to the optimal driving route.

In various embodiments, the step of the driving route suggesting method 200 may include capturing a plurality of fixed traffic images from a plurality of fixed image capturing modules, and respectively, according to the fixed traffic image, the surrounding image, and the position signal. , comprehensively determine the current driving situation.

In summary, the present invention provides a driving route planning system configured to capture position signals and peripheral images from a plurality of vehicle-mounted terminal devices. The driving route planning system includes an image analysis module and a driving route analysis module. The image analysis module is configured to instantly generate an immediate driving condition signal according to the peripheral image and the position signal of each in-vehicle terminal device. The driving route analysis module is configured to generate real-time traffic map data in combination with the instantaneous driving condition signal and the map data. After the central processing module of one of the in-vehicle terminal devices receives the driving end point setting input by the user, the driving route analysis module can further generate the optimal driving according to the position signal of the in-vehicle terminal device, the driving end point setting, and the real-time road condition map data. The route signal corresponds to one of the in-vehicle terminal devices. The optimal driving route signal can be sent to the corresponding in-vehicle terminal device, and the display module of the in-vehicle terminal device having the best driving route signal can display the navigation image according to the optimal driving route signal.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention, and the present invention can be modified and modified without departing from the spirit and scope of the present invention. The scope is subject to the definition of the scope of the patent application attached.

100‧‧‧ Driving route planning system

120‧‧‧Vehicle terminal device

122‧‧‧ Positioning unit

124‧‧‧Image capture module

126‧‧‧Central Processing Module

128‧‧‧ display module

140‧‧‧Cloud Server

142‧‧‧Image Analysis Module

144‧‧‧ Driving route analysis module

146‧‧‧Historical traffic data

148‧‧‧Historical Driving Record Module

160‧‧‧Fixed image capture module

The above and other objects, features, advantages and embodiments of the present invention will become more apparent and understood. Block diagram. FIG. 2 is a flow chart showing a method for recommending a driving route according to various embodiments of the present invention.

100‧‧‧ Driving route planning system

120‧‧‧Vehicle terminal device

122‧‧‧ Positioning unit

124‧‧‧Image capture module

126‧‧‧Central Processing Module

128‧‧‧ display module

140‧‧‧Cloud Server

142‧‧‧Image Analysis Module

144‧‧‧ Driving route analysis module

146‧‧‧Historical traffic data

148‧‧‧Historical Driving Record Module

160‧‧‧Fixed image capture module

Claims (7)

A driving route planning system is configured to capture a position signal and a peripheral image from a plurality of vehicle terminal devices, wherein the driving route planning system comprises: an image analysis module configured to instantly perform the according to the vehicle terminal devices The surrounding image and the position signals are combined to generate an immediate driving condition signal; a historical driving record module is configured to record a plurality of the instantaneous driving condition signals according to the time change, and respectively generate the time according to the generation time of the instant driving condition signals a plurality of time stamps, and further combining the instantaneous driving condition signals and the time stamps to generate a historical traffic flow data; and a line route analysis module configured to combine the instantaneous driving condition signal, the historical driving traffic data, and a The map data is generated to generate an instant road map data, wherein the driving route analysis module further determines the setting according to the receiving the driving end point after one of the in-vehicle terminal devices receives a driving end point setting input by the user The location of the vehicle terminal device And generating a plurality of possible route data with the driving destination setting, and calculating a plurality of pre-judgment arrival times according to the possible route data, respectively corresponding to the possible route data, and the driving route analysis module according to the corresponding pre-judgment The historical traffic flow data of the arrival time, the real-time traffic map data is updated, and the driving route analysis module further receives the driving route according to the position signal, the driving destination setting, and the real-time traffic map data to generate an optimal driving route signal. The vehicle terminal device set at the end point. The driving route planning system of claim 1, wherein the image analysis module is further configured to select the peripheral images of the neighbors of the in-vehicle terminal devices according to the position signals of the in-vehicle terminal devices. And synthesizing a traffic image, and configuring to calculate a traffic density in the traffic image to generate the instantaneous driving condition signal. For example, in the driving route planning system described in claim 1, wherein the possible route data includes a plurality of possible routes, and the driving route analysis module calculates the plurality of driving times according to the real-time traffic map data. For some possible routes, the smallest route of the total driving time is an optimal driving route, and accordingly the optimal driving route signal is generated. The driving route planning system of claim 1, wherein the driving route planning system is further configured to capture an in-vehicle terminal device speed signal from each of the in-vehicle terminal devices, the image analysis module being further configured to be instant The instantaneous driving condition signal is generated according to the vehicle terminal device speed signal, the peripheral image, and the position signal. For example, the driving route planning system described in claim 1 further includes an accident module configured to determine whether an accident occurs according to the surrounding image, and when the accident occurs, the accident module is configured to notify the vehicle. The terminal device generates an accident signal, and the driving route analysis module regenerates the real-time traffic map data according to the accident signal, the instantaneous driving condition signal and the map data. An in-vehicle terminal device is configured to be coupled to a driving route planning system according to any one of claims 1 to 5, wherein the in-vehicle terminal device comprises: a positioning module for continuously transmitting a position signal And to the driving route planning system; and a central processing module configured to receive a one-way vehicle end point setting, and send the driving destination setting to the driving route planning system, and receive the driving route planning system according to the driving destination setting, the position One of the best driving route signals generated by the signal. The in-vehicle terminal device of claim 6, further comprising an image capturing module configured to record a peripheral image of the in-vehicle terminal device and send the image to the driving route planning system.