TW201505003A - Road traffic information estimation system and its method through mobile internet signaling - Google Patents

Abstract

The present invention is a road traffic information estimation system and its method through mobile internet signaling, in which, within a designated road range, a sample capture and analysis device is used to collect specific events of signaling with respect to the mobile internet within a designated time slot (T) when the mobile internet clients pass through the road range, and further, a mobile cell corresponds road position module of a calculation device is used to statistically investigate a road distance (Li) and an elapse time (Ti) of any of the mobile clients of two successive events within the road range so as to calculate the speed (Vi=Li/Ti) of the mobile client passing through the specific road range, and then, all mobile clients whose speed can be calculated are combined to produce a set of calculation samples, and then, ta sample filtering and calculation module of the calculation device is applied to filter and calculate the average speed (V) of the specific road range. The road length (L) of the specific road range is divided by the average speed (V) to produce an average travelling time (Tr=L/V) passing through the specific road range.

Description

Road traffic information estimation system using mobile internet signaling and method thereof

The invention relates to a road traffic information estimating system and a method thereof, in particular to a location and time of two specific signaling events before and after a mobile user moving on the Internet, and then estimating one or more specified designs. Road traffic information estimation system using mobile internet signaling road traffic information estimation method and method thereof

In the past, the acquisition of traffic information relied on local police and democracy notifications, GPS-Based Vehicle Probe (GVP) and Vehicle Detector (VD) devices. Traffic information, in recent years, related research and application systems in the transportation field use different collection methods and technologies such as vehicle detectors, GVP, and electronic toll collection system (ETC)-based vehicle exploration (ETC- Based Vehicle Probe (EVP) and Cellular-Based Vehicle Probe (CVP) technology are used to detect vehicle traffic parameters.

Mobile users have the advantage of mobile space and time. The existing CVP traffic information collection technology uses mobile phones as traffic information detection tools to collect signaling between mobile phones and network systems, and most of them use dialers to dial / The location and time difference between events such as handover and location update are used to estimate the road speed. Figure 1 is a schematic diagram of estimating the speed of the vehicle by using the mobile device to dial/receive the call twice. The device starts dialing/receiving the call 9a at time t0, and a hand change 9b occurs at the position L1 at time t1, and at the time Another change of hand 9c occurs at position L2 at t2, and the vehicle speed is estimated to be (L2-L1)/(t2-t1); FIG. 2 is a schematic diagram showing an example of estimating the vehicle speed by two position updates of the mobile device, wherein The mobile device starts moving from the location area LA0, an inter-LA location update 9d occurs at the location L1 at time t1, and another inter-regional location update 9e occurs at the location L2 at time t2. The vehicle speed is estimated to be (L2-L1)/(t2-t1).

In the prior art, for example, the vehicle is equipped with a GPS and a mobile communication module to perform road test, learn to record call occurrence location information, and determine the distance between two handover locations, and only change hands by mobile phone. The base station is geographically located to estimate the road speed. In addition, for example, the mobile communication information of the location update of the user in the two location areas (LA) is collected, and only the geographical position of the base station where the mobile phone is updated is used. Estimate the speed of the car.

However, in the prior art, the position of the vehicle when the action signaling occurs is mostly obtained by the following two methods: First, the vehicle must be equipped with a GPS module, but the vehicle equipped with the GPS module is not yet popular, and the second is by the base in the signaling content. Taiwan information, but the coverage of the base station is different, and it is impossible to know exactly where the vehicle is located. Therefore, there are some errors in the speed of the collected vehicles.

In order to solve the above problems, the applicant applied to the Intellectual Property Office of the Chinese National Government on August 13, 2012 for the invention titled "Road Traffic Detection System Using Cell Handover Positioning and Its Method". The application number is 101129153, and the cell is proposed. For directional road location method, please refer to Figure 3, where 7a is the cell coordinate center point of the cell where the specific signaling event is located, and 7b is the cell antenna angle of the cell (Cell) is 225 degrees, by the action cell (Cell The GPS coordinate center point is linearly extended and its transmission azimuth is 7c at the intersection of the designated road range (L). In this case, the cell directional road positioning method is used to execute the action cell (Cell) corresponding road location module to obtain the action signaling. Vehicle location.

However, the acquisition of traffic information of the above technology may result in instability of traffic information. For example, the number of valid samples obtained by two handoffs is too small, or the number of samples updated by two location areas is too long. Moreover, it may also cause high cost of vehicle detector deployment and maintenance.

The main object of the present invention is to provide a road traffic information estimating system and method for utilizing mobile internet signaling to solve the problem of unstable traffic information.

A secondary object of the present invention is to provide a road traffic information estimating system and method for increasing the coverage of traffic information collection to provide mobile internet signaling using road traffic information required by passers-by.

In order to achieve the above object, the present invention provides a road traffic information estimating system and method thereof using mobile internet signaling, which mainly comprises one or more sample capturing and analyzing devices and one or more computing devices, one or more Within one specified road range, one or more sample extraction analysis devices are used to collect a specific signaling (Signalling) event occurring between the mobile Internet user and the mobile network over a specified time (T). And the action cell (Cell) corresponding to the road location module of one or more computing devices, counting the road distance (Li) and the time interval between the two events before and after the occurrence of any action user in the road range ( Ti), the speed at which the user of the action passes the specified road range (Vi=Li/Ti) can be calculated, and all action users who can calculate the speed can be aggregated to generate a set of calculated samples, one or more computing devices The sample screening calculation module can filter and calculate the average speed (V) of the specified road range, and specify one or more After the path length of the road range (L) obtained by dividing the average velocity (V), may be generated to be flat road through this range of one or more of a specified Travel time (Tr=L/V).

1‧‧‧Mobile Network

2‧‧‧Sample acquisition analysis device

21‧‧‧Specified road range selection module

22‧‧‧Mobile Network Signaling Event Capture Module

3‧‧‧ Computing device

31‧‧‧Action Cell (Cell) Corresponding Road Position Module

32‧‧‧Sample screening calculation module

4‧‧‧Cell Cell Information

5‧‧‧ GPS information on the road

6‧‧‧ Road Traffic Information

7a‧‧‧Target cell center point of Cell

7b‧‧‧Attachment of Action Cell (Cell)

7c‧‧‧ Cell (Cell) corresponds to the GPS coordinates of the specified road range location

81a‧‧‧ sample extraction analysis device operation steps

81b‧‧‧Computing device operation steps

82a‧‧‧ sample access analysis device specified road range selection module operation steps

82b‧‧‧Mobile network analysis event capture module operation steps

82c‧‧‧Results of sample extraction analysis device output steps

82d‧‧‧Mobile Network Signaling

83a‧‧‧Cell-action cell (Cell) corresponding road location module operation steps

83b‧‧‧Steps for the sample screening calculation module of the computing device

83c‧‧‧Steps for the calculation of road traffic information for computing devices

84a‧‧‧Action Cell (Cell) Corresponding to the Data Location Module of the Road Position Module

84b‧‧‧Cell Cell (Cell) Corresponding to the Road Cell Module Cell Information Acquisition Step

84c‧‧‧Cell Cell corresponds to the road location module's action cell (Cell) corresponding to the road location point step

84d‧‧‧Action cell (Cell) corresponding to the road position module output step

85a‧‧‧First sample screening step for sample screening calculation module

85b‧‧‧Second sample screening step for sample screening calculation module

85c‧‧‧Steps for calculating the average road speed of the sample screening calculation module

9a‧‧‧Starting/receiving calls at time t0

9b‧‧‧ A change of hand at position L1 at time t1

9c‧‧‧ Another change in position L2 at time t2

9d‧‧‧A positional inter-LA position update occurred at position L1 at time t1

9e‧‧‧ Another positional inter-regional position update occurred at position L2 at time t2

Figure 1 is a schematic diagram showing an example of estimating the speed of a vehicle by using the mobile device to make two handovers; the second diagram is an example of estimating the speed of the vehicle by two location updates of the mobile device; FIG. 4 is a schematic diagram of a system structure of a road traffic information estimation system and a method for signaling; FIG. 4 is a system architecture diagram of the present invention; FIG. 5 is a structural diagram of a sample extraction analysis apparatus according to the present invention; 6 is a structural diagram of a computing device of the present invention; FIG. 7 is a flowchart of operation of the present invention; FIG. 8 is a flowchart of operation of a sample capturing and analyzing device of the present invention; and FIG. 9 is a flow chart of a computing device of the present invention Figure 10 and Figure 10 are flowcharts showing the operation of the cell corresponding to the road location module of the present invention; and Figure 11 is a flow chart showing the operation of the sample screening calculation module of the present invention.

The road traffic information calculation system and method for using the mobile internet signaling of the present invention first select one or more specified road ranges, and the length is (L), which may be two to several cell sizes. Collecting, by means of one or more sample capture devices, all specific signaling (Signalling) events occurring between the mobile Internet user and the mobile network over a specified time (T) Signaling events include: user registration events (Attach), User Routing Area Update Event (Routing Area Update), User Internet Service Request Event (Service Request), User PDP-Context Establishment Event (PDP-Context Activation) and User PDP-Context Release Event (PDP-Context Deactivation) The specified time (T) can be from 1 minute to several hours. The action cell (Cell) corresponding to the road location module of one or more computing devices can be obtained by any mobile user within the specified road range. The corresponding road location point of a specific signaling event, through the corresponding road location point distance (Li) and interval time (Ti) between the two events before and after, can calculate the speed of the mobile user passing the specified road range (Vi=Li/ Ti), collecting all the mobile users that can calculate the speed, can generate a set of calculated samples, by which the sample set data is calculated, and the calculation module is filtered through one or more sample devices of the computing device, and the calculation and calculation can be performed. Specify the average speed (V) of the road range to provide traffic information for passers-by as one or more designated roads. The average travel time comprises one or more than one of the specified roads (Tr), (L) divided by the average velocity (V) produced by assigned path length range.

The invention utilizes the user registration event (Attach) of the specific signaling event of the road traffic information calculation system and the method thereof for mobile internet signaling, and actively registers the mobile network with the mobile device handheld mobile device; specific signaling event The user routing area update event (Routing Area Update), which is a mobile device held by the user, actively reports the behavior of the routing area (RA), including the mobile or fixed period return, to the mobile network; the specific signaling event The user's Internet service request event (Service Request) is a mobile device handheld mobile device that actively sends a service request action to the mobile network when transmitting or receiving data on the Internet; a user PDP-Context establishment event for a specific signaling event (PDP- Context Activation), the PDP-Context establishment request behavior sent to the mobile network for the mobile device held by the user; the user of the specific signaling event The PDP-Context Deactivation (PDP-Context Deactivation) is a PDP-Context release request behavior that is actively sent to the mobile network by the mobile device held by the user.

A mobile user moves within this specified range of the road, at the _1:00 time t, and the user action operations specific signaling events in the cell A, the ₂ time t, and the user action operations specific signaling events in B cells, the time t _3, the user-specific signaling event action occurs in cells C in action. In this embodiment, the specific signaling events occurring in the specified road range by the mobile user are used, and the road distance (L1) and the time interval (T1) between the action cell A and the action cell B where the specific signaling event is located can be calculated. For a sample rate (V1=L1/T1), the road distance (L2) and the time interval (T2) between the action cell B and the action cell C of the specific signaling event can be calculated as the same speed (V2=L2/T2). The road distance (L3) and the time interval (T3) between the action cell A and the action cell C in which the specific signaling event is located can be calculated as the same speed (V1=L3/T3), and the sample data is collected to specify the road range. Estimation of traffic information such as average speed and travel time for a specified road range.

As shown in FIG. 4, the present invention utilizes the road traffic information calculation system of the mobile Internet signaling, and the signaling obtained by the IuPS interface in the mobile network 1 is the source of the analysis and processing of the present invention, mainly including the same. The analysis device 2 and the calculation device 3 are taken. In addition, the action information (Cell) information 4 and the road GPS information 5 are external reference materials, and the road traffic information 6 is the analysis result of the output of the present invention. When one or more pieces are to be collected, When specifying the traffic information of the road range, please refer to Figure 5, first select the one or more specified road ranges through the designated road range selection module 21 of the sample extraction analysis device 2, the length of which is (L); The signaling event captured by the IuPS interface in the network 1 is a data source, and the mobile network signaling event capturing module 22 of the sample capturing and analyzing device 2 collects the mobile Internet user within a specified time (T). When passing this specified road range, All specific signaling (Signalling) events occurring between the mobile networks are transmitted to the computing device 3. Referring to FIG. 6, the action cell (Cell) of the computing device 3 corresponds to the road location module 31, and the cell corresponding to the road location module is executed, and any mobile user can obtain a specific letter within the specified road range. Corresponding to the road location point; the sample screening calculation module 32 of the computing device 3 is executed, and the sample screening calculation module is executed to generate the average speed (V) of the road traffic information 6 of the specified road range, or one or more The road length (L) of the designated road range is divided by the average speed (V) obtained, and the average travel time (Tr=L/V) of the road traffic information 6 to be passed through the one or more specified road ranges is generated.

Referring to FIG. 7, in the road traffic information estimating system using mobile internet signaling according to the present invention, 81a is one or more sample capturing and analyzing devices 2, and one or more specified road ranges are selected first, and the length thereof is (L), and collecting all the specific signaling (Signalling) events occurring between the mobile Internet users and the mobile network within a specified time (T); 81b is one or more computing devices 3, Using the specific signaling event data generated by the action user captured by the sample capture analysis device, and counting the road distance (Li) and the time interval (Ti) between the two events before and after the occurrence of any action user within the specified road range. It can calculate the speed of this action user through this specified road range (Vi=Li/Ti), collect all the action users who can calculate the speed, and generate a set of calculated samples, which can be used to filter and calculate the specified road range. The average speed (V), which divides the road length (L) of one or more specified road ranges by the average speed (V) obtained, which may result in the passage of the designated road. The average travel time (Tr = L / V).

Please refer to Figure 8 for the sample extraction analysis device operation process. 82a is the designated road range selection module 21, and one or more specified road ranges are selected. The length is (L), which can be two to several actions. Cell size; 82b is a mobile network signaling event capture module 22, The specific signaling event 82d of the mobile network is source data, and collects all specific signaling events occurring between the mobile Internet user and the mobile network within a specified time (T), and the specific signaling event occurs when the mobile Internet user passes the designated road range. Including: user registration event (Attach), user routing area update event (Routing Area Update), user Internet service request event (Service Request), user PDP-Context establishment event (PDP-Context Activation) and user PDP-Context release event ( PDP-Context Deactivation), the specified time (T) length may be from 1 minute to several hours; 82c is to transmit the specific signaling event data of the captured mobile user to the computing device 3.

Figure 9 is a flow chart of the operation of the computing device, wherein 83a is a cell corresponding to the road location module 31, and the action cell corresponds to the road location module, and any mobile user can be obtained within the specified road range, and specific signaling occurs. Corresponding road location point; 83b is a sample screening calculation module 32, and the mobile user received by the sample extraction analysis device 2 generates specific signaling data, and counts any mobile user within the road range, before and after the event occurs. The distance between the road (Li) and the time interval (Ti), the speed at which the user of the action passes through the road range (Vi=Li/Ti) can be calculated, and all the action users who can calculate the speed can be combined to generate the same set. Then, through the sample screening calculation module, the average vehicle speed (V) of the designated road can be selected and calculated, and the road length (L) of the designated road range is divided by the obtained average vehicle speed (V), and the designated road can be generated. The average travel time of the range (Tr=L/V); 83c is the road traffic information of the output.

As shown in FIG. 10, the action cell (Cell) corresponds to the road location module operation flow, wherein 84a is the cell data of the specific signaling event occurred by the action user captured by the receiving sample extraction analysis device 2; 84b is Cell Information 4 obtains the Cell GPS coordinate center point and emission azimuth information of the specific signaling event; 84c is a linear extension of the emission azimuth according to the center point of the GPS cell coordinate of the mobile cell (Cell) Specify the intersection of the road range (L) and knot The GPS information of the road can be obtained as the GPS coordinate of the intersection, which is the corresponding road location point at which the specific signaling event occurs; 84d is to feed the result back to the sample screening calculation module 32. Please refer to Figure 3 for a schematic diagram of the flow, where 7a is the cell coordinate center point of the cell where the specific signaling event is located, and 7b is the cell antenna angle of the cell (Cell) is 225 degrees, by the mobile cell (Cell) GPS The coordinate center point is linearly extended and its transmission azimuth is 7c at the intersection of the specified road range (L).

Figure 11 shows the operation flow of the sample screening calculation module. 85a is a sample collection set by the sample screening calculation module 32. The first sample is filtered according to the maximum speed limit +M of the specified road, and the threshold is deleted. Sample of value, where M can be 10km/hr; 85b is the second sample screening through the set percentage threshold, and the N% faster sample is taken out, where N% can be a ratio between 5% and 95%. ;85c is to calculate the average of the sample set after screening, which can produce the average speed (V) of the specified road range.

In summary, the present invention provides a road traffic information estimating system and method for utilizing mobile internet signaling, through one or more sample extraction analyzing devices, to collect mobile Internet users through one or more specified road ranges. , a specific signaling (Signalling) event occurring between the mobile network and one or more computing devices, counting the distance of the road between the two events before and after the occurrence of any of the mobile users in the road range (Li And the time interval (Ti), calculate the speed of the mobile user through the specified road range (Vi=Li/Ti), collect all the action users that can calculate the speed as a set of calculation samples, and then after screening and calculation, The average speed and average travel time for this specified road range can be generated.

Therefore, the road traffic information estimating system and method using the mobile internet signaling provided by the present invention have the following advantages when compared with other conventional technologies:

1. The present invention can capture specific signaling event data of the mobile network without affecting the use of the original mobile user. In the case of service analysis, the traffic information is provided. The source of the data is for all passers-by, and there is no need to change any hardware devices, and it is not limited to specific mobile phones, so as to improve the accuracy and popularity of traffic information.

2. Due to the increasing demand for mobile data and the popularity of smart phones, smart phones have the characteristics of connecting Always On and connecting time. When the mobile phone is connected to the Internet, regardless of whether the user is in use or not, Pull and Push services (social network services, email, weather, etc.) frequently exchange messages with the network. The present invention utilizes the above characteristics to estimate the location and time of the previous two signalings between the mobile network and the mobile network when the mobile user moves on the Internet, and then estimates the road traffic information, wherein the number of samples obtained is not affected by the user behavior. It can increase the number of valid samples and improve the reliability of traffic information estimation.

3. The roads covered by the mobile network are all possible roads for the invention, and the invention utilizes mobile internet signaling to estimate road traffic information, which is not affected by the unstable traffic information, and can be applied to provinces and counties. General roads, such as roads, have the advantage of having a wide coverage and many types of roads compared to other technologies.

The detailed description of the present invention is intended to be illustrative of a preferred embodiment of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

1‧‧‧Mobile Network

2‧‧‧Sample acquisition analysis device

21‧‧‧Specified road range selection module

22‧‧‧Mobile Network Signaling Event Capture Module

3‧‧‧ Computing device

31‧‧‧Action Cell (Cell) Corresponding Road Position Module

32‧‧‧Sample screening calculation module

4‧‧‧Cell Cell Information

5‧‧‧ GPS information on the road

6‧‧‧ Road Traffic Information

Claims (18)

A method for estimating road traffic information using mobile internet signaling, the main process steps comprising: step one, one or more sample extraction analysis devices select one or more specified road ranges through a designated road extraction module, the length thereof (L), for two to several cell sizes; step two, one or more sample capture analysis devices use the mobile network signaling event capture module to collect a specified time (T) Within, the specific signaling (Signalling) event occurring between the mobile Internet user and the mobile network; and the third or more computing devices using the Cell corresponding to the road location module The mobile Internet user can calculate the corresponding road location point of the specific signaling event within the specified road range. The distance between the corresponding road location point (Li) and the interval time (Ti) between the two events can be calculated. The speed of this specified road range (Vi=Li/Ti), which aggregates all mobile users that can calculate the speed, and generates a set of calculated samples; step four One or more computing devices filter the calculation module with the sample, calculate the sample set data, and filter and calculate the average speed (V) of the specified road range, which may generate an average of the specified road range to be subjected to the one or more specified roads. Travel time (Tr=L/V). The road traffic information estimating method using the mobile internet signaling as claimed in claim 1, wherein the specific signaling event includes a user registration event (Attach) and a user routing area update event. (Routing Area Update), user Internet service request event (Service Request), user PDP-Context establishment event (PDP-Context Activation) or user PDP-Context release event (PDP-Context Deactivation). The method for estimating road traffic information using the mobile internet signaling according to claim 1, wherein the sample screening calculation module of the computing device is to obtain the calculated sample set by specifying the maximum speed limit of the road + M Threshold value for the first sample screening, delete the sample exceeding the speed limit, M can be 10km / hr, and then through the set percentage threshold for the second sample screening, take out the previous N% faster sample, N% can be A ratio between 5% and 95%. The method for estimating road traffic information using mobile internet signaling as claimed in claim 1, wherein the mobile Internet user system is a General Packet Radio Service (GPRS) or a Universal Mobile Telecommunication System (UMTS). The mobile data network of Code Division Multiple Access (CDMA), Long Term Evolution (LTE) or Long Term Evolution Advanced (LTE-A). The method for estimating road traffic information using the mobile internet signaling as claimed in claim 2, wherein the user registration event (Attach) is a mobile device held by the user, and actively registers with the mobile network. The road traffic information estimating method using the mobile internet signaling as claimed in claim 2, wherein the user routing area update event (Routing Area Update) is a mobile device held by the user, and actively reports the routing area to the mobile network. (Routing Area; RA) behavior, including on-the-fly or fixed-cycle returns. The method for estimating road traffic information using mobile internet signaling as claimed in claim 2, wherein the user's service request is a mobile device that is held by the user, and actively transmits the mobile device to the mobile network when transmitting or receiving data. The service request behavior issued. The method for estimating road traffic information using mobile internet signaling as claimed in claim 2, wherein the user PDP-Context Activation (PDP-Context Activation) is a PDP that is actively sent to the mobile network by the mobile device held by the user. The Context establishes the request behavior. The method for estimating road traffic information using mobile internet signaling as claimed in claim 2, wherein the user PDP-Context Deactivation is a PDP that is actively sent to the mobile network by the mobile device held by the user. Context release request behavior. A road traffic information estimating system using mobile internet signaling, which is a data source obtained by the mobile network IuPS interface, and mainly includes: one or more sample capturing and analyzing devices, and the sample capturing The analysis devices each include a designated road range selection module and a mobile network signaling event capture module, wherein the designated road range selection module selects one or more specified road ranges for the mobile network signaling event capture. The module collects a specific signaling (Signalling) event occurring between the mobile Internet user and the mobile network within a specified time (T) within a specified time range; one or more computing devices, the computing Each of the devices includes a mobile cell corresponding road location module and the same screening calculation module, and the mobile cell corresponding to the road location module executes a cell corresponding road location program, and the sample screening computing module is based on the samples. Taking the action user's specific signaling event data from the action device retrieved by the analysis device, generating the specified road model to pass the one or more Average travel time (Tr=L/V); The road traffic information estimating system using the mobile internet signaling as claimed in claim 10, wherein the sample screening computing module generates specific signaling event data through the mobile user, and the road distance between the two events before and after (Li) occurs. With time interval (Ti), calculate the speed at which the user of this action passes the specified road range (Vi=Li/Ti), and collect all the action users who can calculate the speed, and generate a set of calculated samples, which are then filtered by the sample. The calculation module first screens the first sample according to the maximum speed limit +M of the designated road, deletes the sample exceeding the threshold value, and then performs the second sample screening through the set percentage threshold value, and the N% is faster before the removal. After the velocity sample, the average speed (V) of the specified road range is generated, and the road length (L) of one or more specified road ranges is divided by the average speed (V) obtained to obtain the average travel time (Tr=L). /V). The road traffic information estimating system using the mobile internet signaling as claimed in claim 11, wherein the N% is a ratio between 5% and 95%. The road traffic information estimating system using the mobile internet signaling as claimed in claim 10, wherein the specific signaling event includes a user registration event (Attach), a user routing area update event (Routing Area Update), and a user online service request event ( Service Request), user PDP-Context establishment event (PDP-Context Activation) or user PDP-Context release event (PDP-Context Deactivation). The road traffic information estimating system using the mobile internet signaling as claimed in claim 13, wherein the user registration event (Attach) is a mobile device held by the user and actively registers with the mobile network. A road traffic information estimating system using mobile internet signaling as claimed in claim 13 The user routing area update event (Routing Area Update) is a mobile device held by the user, and actively reports the behavior of the routing area (RA), including the mobile or fixed period return, to the mobile network. The road traffic information estimating system using the mobile internet signaling as claimed in claim 13, wherein the user's Internet service request event (Service Request) is a mobile device held by the user, and actively transmits the mobile network to the mobile network when receiving or receiving data. The service request behavior issued. The road traffic information estimating system using the mobile Internet signaling as claimed in claim 13, wherein the user PDP-Context Activation (PDP-Context Activation) is a PDP that is actively sent to the mobile network by the mobile device held by the user. The Context establishes the request behavior. The road traffic information estimating system using the mobile internet signaling as claimed in claim 13, wherein the user PDP-Context Deactivation (PDP-Context Deactivation) is a PDP that is actively sent to the mobile network by the mobile device held by the user. Context release request behavior.