Apparatus and method for analyzing congestion pricing policies

Abstract

A congestion toll policy analysis device according to one embodiment of the present invention includes a memory in which a toll policy analysis program is stored; and a processor that executes the program stored in the memory. The toll policy analysis program receives traffic data including vehicle traffic volume and speed of a predetermined city and observation location information, calculates a Traffic Congestion Indicator (TCI) based on the traffic data, displays the hourly average TCI in conjunction with a calendar area, and provides a first interface for receiving user selection information. When a predetermined area and period or time are entered in the first interface, a second interface is provided for visualizing the periodly average TCI in different colors according to the degree of congestion for the corresponding area on a map, wherein the second interface receives the target area to be analyzed as user selection information.

Description

Technology Field

[0001] The present invention relates to an apparatus and method for analyzing congestion toll policies. Background Technology

[0002] Traffic congestion is increasing every year, raising vehicle fuel consumption and travel times, and negatively impacting environmental pollution and productivity. In particular, traffic congestion is escalating rapidly due to urbanization and the growing number of vehicles.

[0003] Congestion pricing policies have been introduced and proven effective in cities such as London, Singapore, and Stockholm as a solution to traffic congestion problems. This policy has been successful in alleviating traffic jams and promoting the use of public transportation by imposing special fees on vehicles entering downtown areas.

[0004] In particular, spatiotemporal dependence among the characteristics of traffic data is a crucial variable in understanding and predicting the impact of congestion pricing policies. Since traffic flow varies depending on the time and road, these spatiotemporal differences must be considered to accurately evaluate the policy's impact. Overlooking this makes it difficult to predict accurate analysis results regarding congestion pricing policies.

[0005] Existing studies primarily analyze the effects of congestion pricing policies using simulation models within fixed geographical and temporal ranges. However, these studies have limitations in that they fail to fully account for the spatiotemporal dependencies of traffic data, making it difficult to obtain realistic and accurate results.

[0006] Accordingly, the present invention proposes a congestion toll policy analysis device and method for analyzing the influence of a congestion toll policy according to time and space. The problem to be solved

[0007] The present invention aims to solve the aforementioned problems by providing a congestion toll policy analysis device and method that support determining effective target areas and determining optimized tolls during the congestion toll policy design process.

[0008] However, the technical problem that this embodiment aims to solve is not limited to the technical problem described above, and other technical problems may exist. means of solving the problem

[0009] As a technical means for solving the aforementioned technical problem, a congestion toll policy analysis device according to one embodiment of the present invention comprises: a memory in which a toll policy analysis program is stored; and a processor that executes the program stored in the memory. The toll policy analysis program receives traffic data including vehicle traffic volume and speed of a predetermined city and observation location information, calculates a Traffic Congestion Indicator (TCI) based on the traffic data, displays the hourly average TCI in conjunction with a calendar area, and provides a first interface for receiving user selection information. When a predetermined area and period or time are entered in the first interface, a second interface is provided for visualizing the periodly average TCI in different colors according to the congestion level for the corresponding area on the map, wherein the second interface receives the target area to be analyzed as user selection information.

[0010] A congestion toll policy analysis method performed by a congestion toll policy analysis device according to another embodiment of the present invention comprises: (a) receiving traffic data including vehicle traffic volume and speed of a predetermined city and observation location information; (b) providing a first interface that calculates a Traffic Congestion Indicator (TCI) based on the traffic data, displays the hourly average TCI in conjunction with a calendar area, and receives user selection information; and (c) providing a second interface that, when a predetermined area and period or time are entered in the first interface, visualizes the periodly average TCI in different colors according to the congestion level for the corresponding area on a map, wherein the second interface receives the target area to be analyzed as user selection information. Effects of the invention

[0011] According to any one of the means for solving the problem of the present invention described above, the present invention helps to analyze the quantitative congestion status of roads and the impact of congestion pricing policies by measuring the TCI (Traffic Congestion Index) using the speed of data and providing visualization thereof to a user.

[0012] In addition, by measuring TCI by period, time, and administrative district selected by the user, target areas where congestion pricing policies are effective can be identified.

[0013] In addition, it supports users in identifying which areas have high levels of congestion requiring policy implementation and enables them to take improvement measures based on this.

[0014] In addition, it measures the total delay time of traffic simulations based on collection methods and tolls to help users set optimized tolls. This can help determine which collection method and toll are most effective for establishing and operating an effective congestion pricing policy. Brief explanation of the drawing

[0015] FIG. 1 is a configuration diagram of a congestion toll policy analysis device according to one embodiment of the present invention. FIG. 2 is a diagram illustrating an example of a user interface provided by a congestion toll policy analysis device according to one embodiment of the present invention. FIGS. 3 to 5 are drawings for explaining the process of a user performing toll policy analysis using a user interface according to an embodiment of the present invention. FIG. 6 is a diagram illustrating a congestion toll policy analysis method performed by a congestion toll policy analysis device according to another embodiment of the present invention. Specific details for implementing the invention

[0016] Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement the invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals.

[0017] Throughout the specification, when a part is described as being “connected” to another part, this includes not only cases where they are “directly connected” but also cases where they are “electrically connected” with other elements interposed between them. Furthermore, when a part is described as “comprising” a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0018] In this specification, the term "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Additionally, one unit may be realized using two or more pieces of hardware, and two or more units may be realized by one piece of hardware. Meanwhile, "part" is not limited to software or hardware, and "part" may be configured to reside in an addressable storage medium or configured to run on one or more processors. Accordingly, as an example, "part" includes components such as software components, object-oriented software components, class components, and task components, as well as processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and "parts" may be combined into a smaller number of components and "parts" or further separated into additional components and "parts." In addition, the components and '~parts' may be implemented to regenerate one or more CPUs within the device.

[0019] A network refers to a connection structure capable of exchanging information among respective nodes, such as terminals and servers, and includes local area networks (LAN), wide area networks (WAN), the internet (WWW: World Wide Web), wired and wireless data communication networks, telephone networks, wired and wireless television communication networks, etc. Examples of wireless data communication networks include, but are not limited to, 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi, Bluetooth communication, infrared communication, ultrasonic communication, visible light communication (VLC), and LiFi.

[0020] FIG. 1 is a configuration diagram of a congestion toll policy analysis device according to one embodiment of the present invention.

[0021] Referring to FIG. 1, the toll policy analysis device (100) may include a communication module (110), memory (120), a processor (130), and a database (140).

[0022] The toll policy analysis device (100) can be implemented as a computer or portable terminal that can connect to a network. Here, the computer includes, for example, a notebook, a desktop, a laptop, etc., and the portable terminal is, for example, a wireless communication device that ensures portability and mobility, and can include all kinds of handheld-based wireless communication devices such as various smartphones, tablet PCs, smartwatches, etc.

[0023] Additionally, the toll policy analysis device (100) can function as a server that visualizes the calculation results of a traffic congestion index (TCI) based on traffic data including vehicle traffic volume and speed and observation location information, and provides this to an external computing device. At this time, the server may operate in a cloud computing service model such as SaaS (Software as a Service), PaaS (Platform as a Service), or IaaS (Infrastructure as a Service), or may be built in a form such as a private cloud, a public cloud, or a hybrid cloud.

[0024] The communication module (110) may include one or more components that enable communication with an external device, such as an external server (10), which provides traffic data including vehicle traffic volume and speed and observation location information. For example, the communication module (110) may be a device that includes hardware and software necessary to transmit and receive signals, such as control signals or data signals, through a wired or wireless connection with another network device.

[0025] The memory (120) may contain a toll policy analysis program. The toll policy analysis program receives traffic data including the volume and speed of vehicles in a specified city and observation location information, calculates a Traffic Congestion Indicator (TCI) based on the traffic data, displays the hourly average TCI in conjunction with a calendar area, provides a first interface for receiving user selection information, and when a specified area and period or time is entered in the first interface, provides a second interface for visualizing the periodly average TCI in different colors according to the level of congestion for the corresponding area on the map.

[0026] Here, the memory (120) may include a magnetic storage medium or a flash storage medium in addition to a volatile storage device that requires power to maintain stored information, but the scope of the present invention is not limited thereto.

[0027] The memory (120) may store a separate program, such as an operating system for processing and controlling the processor (130), and may also perform the function of temporarily storing input or output data.

[0028] The processor (130) executes a toll policy analysis program (hereinafter referred to as "program") stored in memory (120) and provides the function of controlling the hardware of the toll policy analysis device (100) according to the execution of the program. That is, the processor (130) can perform hardware control functions such as necessary file systems, memory allocation, networks, basic libraries, timers, device control (display, media, input devices, 3D, etc.), and other utilities as the program is executed.

[0029] A processor (130) receives traffic data including vehicle traffic volume and speed of a predetermined city and observation location information, calculates a Traffic Congestion Indicator (TCI) based on the traffic data, displays the hourly average TCI in conjunction with a calendar area, provides a first interface for receiving user selection information, and when a predetermined area and period or time is entered in the first interface, provides a second interface for visualizing the periodly average TCI in different colors according to the degree of congestion for the corresponding area on the map.

[0030] In addition, specific steps of the toll policy analysis process following the execution of the program will be described later with reference to FIGS. 2 to 6.

[0031] The processor (130) may include all types of devices capable of processing data. For example, it may refer to a data processing device embedded in hardware having a physically structured circuit to perform a function expressed by code or instructions included in a program. Examples of such data processing devices embedded in hardware may include a microprocessor, a central processing unit (CPU), a processor core, a multiprocessor, an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), etc., but the scope of the present invention is not limited thereto.

[0032] The database (140) stores or provides data required by the toll policy analysis device (100) under the control of the processor (130). For example, the database (140) may store the collection amount applied during the toll policy analysis process, the congested road ratio by zone, and the TCI. This database (140) may be included as a separate component from the memory (120) or may be built in a part of the memory (120).

[0033] Referring to FIG. 1, the processor (130) may include detailed modules that perform various functions according to the execution of the toll policy analysis program. For example, the processor (130) may include a traffic simulation unit and a TCI calculation unit.

[0034] For example, the traffic simulation department utilizes the existing SUMO (Simulation of Urban MObility) system, which supports the simulation and analysis of urban traffic networks for the application of toll policies, so a detailed explanation thereof may be omitted.

[0035] In addition, the program can predict the total delay time during the traffic simulation process using Equation 1. In this case, the total delay time can be calculated as the sum of the time loss and departure delay times of all vehicles in the traffic simulation. Equation 1 is as follows when the total number of vehicles is n.

[0036] <Formula 1>

[0037]

[0038] Here, the time loss of each vehicle can be calculated by adding the time taken from the origin to the destination without delay, the time delayed due to signal stops, and the time decelerated by other vehicles.

[0039] Depart Delay in traffic simulation refers to the time during which the creation of a vehicle is delayed because another vehicle is present at the location where the vehicle is to be created.

[0040] Toll Penalty Time refers to the time required for a vehicle to detour around a toll-charged road in a traffic simulation.

[0041] That is, the program can apply the set toll policy using traffic simulation and provide visualization of changes in TCI and congested road ratios according to time and administrative district through the user interface (150). Accordingly, the user can analyze the impact of the toll policy by comparing it with the original traffic data.

[0042] In addition, the TCI calculation unit can calculate the TCI through Equation 2. At this time, the program can quantitatively analyze and visualize the road congestion status for a zone, period, or time set according to user selection information and provide it through the user interface (150) described later.

[0043] <Equation 2>

[0044]

[0045] Here, i represents the road, t represents the time, and FFS(i) is the free flow speed of the road (i), using the 90th percentile of the observed traffic speed of the road.

[0046] The user interface (150) will be described in detail below.

[0047] FIG. 2 is a diagram illustrating an example of a user interface provided by a congestion toll policy analysis device according to one embodiment of the present invention.

[0048] Referring to FIG. 2, the program may provide a user interface (150) that provides analysis results for each detailed module. For example, the user interface (150) may include a second interface (152) that is displayed as a full screen, and a first interface (151), a third interface (153), and a fourth interface (154) that are created as pop-up windows on the full screen.

[0049] When a predetermined area and period or time is entered in the first interface (151), the program may provide a third interface (153) including a first area (531) that displays the average TCI by sub-section of the area over time, and a second area (532) that displays the average TCI by sub-section of the area and the congested road ratio by sub-section. For example, the area may refer to an administrative region such as Gangnam-gu, and the sub-section may refer to a neighborhood unit such as Yeoksam or Nonhyeon within the district.

[0050] When a target area is entered in the second interface (152), the program may provide a fourth interface (154) that displays the total delay time predicted by the traffic simulation for the target area according to the collection amount of the toll policy.

[0051] When a collection amount to be applied as a toll policy is selected for a target area in the fourth interface (154), the program updates the congested road ratio and TCI with the collection amount applied for the corresponding target area on the third interface (153), and can also display the previously stored congested road ratio and TCI for comparison.

[0052] For example, referring to FIG. 2, the first interface (151) may include a zone input area (511) for receiving an administrative zone for analysis, a histogram area (513) for receiving an analysis time and displaying the hourly average TCI of the analysis zone according to time, and a calendar area (512) for receiving an analysis period and displaying the daily average TCI of the analysis zone on a calendar. At this time, it may be provided in the form of a heatmap in which the color corresponding to the TCI is displayed more intensely according to the level of congestion.

[0053] The second interface (152) can display the administrative district classification and the average TCI of the period or time selected in the first interface (151) in conjunction with the TCI color of the calendar area (512) on the corresponding area on the map matched with the traffic network. Additionally, the second interface (152) can receive the target area to be analyzed as user-selected information. For example, a lower TCI indicates that the road is more congested, and the TCI color can be encoded as dark red.

[0054] The third interface (153) can provide the average TCI and the congested road ratio for the time period selected in the first interface (151) according to time and administrative district. At this time, the first area (531) can visualize a parallel coordinate system showing the average TCI by administrative district over time. The second area (532) can provide the TCI by region and visualize (color-encode) the corresponding TCI differently by color. Similarly, each TCI color can be linked to the road congestion color of the second interface (152) and appear identically. In addition, the second area (532) can provide the congested road ratio visualized as a bar chart.

[0055] The fourth interface (154) can receive input of a collection amount for applying a congestion toll policy to an analysis target area selected in the second interface (152). Additionally, the fourth interface (154) can provide a histogram that visualizes the change in total delay time predicted by a traffic simulation based on the collection method and collection amount of the toll policy. For example, the collection amount can be received via a slider bar located below the histogram.

[0056] FIGS. 3 to 5 are drawings for explaining the process of a user performing toll policy analysis using a user interface according to an embodiment of the present invention.

[0057] Referring to FIG. 3, for example, the user can set the region to be analyzed in the first interface (1), the desired period in the calendar heatmap of the calendar area (1-1), and the desired time period in the histogram of the histogram area (1-2). That is, the user can select the time period for analysis according to the road conditions of the selected region on the date and time through the TCI of the entire road network visualized.

[0058] Subsequently, the program can classify congested roads by calculating the average TCI of the time and date selected by the user and visualize the congested roads on the map of the second interface (2) such that the higher the congestion (the lower the TCI), the darker the color. At this time, the user can identify the spatial distribution of congested roads through the second interface (2) and select an administrative district unit area as the target area.

[0059] Additionally, the program can display the TCI by administrative district over time in the parallel coordinate system of the first area (3-1) of the third interface. Furthermore, the bar chart in the second area (3-2) indicates the ratio of congested roads for the selected time period and can display the TCI using color encoding. Accordingly, through this process, the user can analyze traffic congestion on a regional basis for the date and time selected in the first interface (1).

[0060] Next, if the user determines that the congestion charge policy is effective for the target area, the user can apply the toll policy through the fourth interface.

[0061] Referring to Figure 4, the toll setting and congestion toll policy impact process is explained.

[0062] As illustrated in FIG. 4(a), the user can set tolls and analyze the impact of congestion pricing policies through the fourth interface. That is, the program can predict the total delay time based on the collection method and tolls using traffic simulation, visualize it as a histogram, and provide it to the fourth interface. For example, the user can select a desired toll using a slider bar.

[0063] As illustrated in FIG. 4(b), the program can generate the congested road ratio and TCI with the congestion toll policy applied. The user can analyze the impact of the applied policy on an administrative district basis through a third interface.

[0064] As shown in Fig. 4(c), the user can apply a congestion toll policy by modifying the input to the desired toll as needed. As shown in Fig. 4(d), the modified congestion toll policy is displayed alongside the previously applied policy, allowing the user to compare and analyze it with the previous policy (amount). In this process, user decision-making regarding optimized toll settings can be supported through regional unit analysis.

[0065] Referring to Figure 5, the process of designing a congestion pricing policy and analyzing its impact is explained.

[0066] The user can select the date and time to apply the congestion charge policy based on the TCI of the entire road network and analyze the impact through the first interface (1). At this time, the most congested date can be selected through the calendar area (1-1) and the most congested time through the histogram area (1-2).

[0067] The user can select an area where the congestion charge policy would be effective by analyzing the spatial distribution of congested roads during the selected period and time through the second interface (2). At this time, the user can select an analysis target area (2-1) on the map where congested roads are most densely distributed.

[0068] The user can analyze the congestion status of roads by administrative district through the third interface (3). The blue-encoded line in the first area (3-1) represents the selected area as the analysis target area (2-1) in the second interface (2). It indicates that the area has the lowest TCI (highest congestion level) in the selected time period compared to other areas. It also indicates that the ratio of congested roads is highest in the second area (3-2).

[0069] The user can set the analysis target area (2-1) as the congestion toll policy target area and apply the congestion toll policy using the fourth interface (4). The first chart (4-1) of the fourth interface shows the application of toll $3, which has the lowest total delay time predicted by the traffic simulation, and the result indicates that the TCI increases and the congestion road ratio decreases in both the analysis target area and other areas, such as Yeoksam $3 (3-2-1) and Nonhyeon $3 (3-2-2) of the third interface (3). On the other hand, the second chart (4-2) of the fourth interface shows the application of toll $6, which has the highest total delay time predicted by the traffic simulation, and the result indicates that the TCI of the analysis target area increases and the congestion road ratio decreases, such as Yeoksam $6 (3-2-3) and Nonhyeon $6 (3-2-4) of the third interface (3), but road congestion in other areas intensifies.

[0070] Therefore, users can analyze the impact of congestion pricing policies on a regional basis to determine the optimal toll.

[0071] Among the configurations shown in FIGS. 1 to 5 described above, the description of configurations that perform the same function will be omitted.

[0072] FIG. 6 is a diagram illustrating a congestion toll policy analysis method performed by a congestion toll policy analysis device according to another embodiment of the present invention.

[0073] Referring to FIG. 6, the congestion toll policy analysis method performed by the congestion toll policy analysis device includes the step of receiving traffic data including vehicle traffic volume and speed of a predetermined city and observation location information (S110); the step of calculating a Traffic Congestion Indicator (TCI) based on the traffic data, displaying the hourly average TCI in conjunction with a calendar area, and providing a first interface (151) for receiving user selection information (S120); and the step of providing a second interface (152) for visualizing the periodly average TCI in different colors according to the degree of congestion for the corresponding area on the map when a predetermined area and period or time is entered in the first interface (151) (S130).

[0074] Step S130 may provide a third interface (153) including a first area (531) that displays the average TCI by sub-section of the area over time when a predetermined area and period or time is input at the first interface (151), and a second area (532) that displays the average TCI by sub-section of the area and the congested road ratio by sub-section.

[0075] Step S130 can provide a fourth interface (154) that, when a target area is input in the second interface (152), displays the total delay time predicted by the traffic simulation for the target area according to the collection amount of the toll policy.

[0076] Step S130 is when a collection amount to be applied as a toll policy for a target area is selected in the fourth interface (154), the congested road ratio and TCI with the collection amount applied are updated for the corresponding target area on the third interface (153), and the previously stored congested road ratio and TCI can also be displayed for comparison.

[0077] A method according to one embodiment of the present invention may also be implemented in the form of a recording medium comprising computer-executable instructions, such as a program module executed by a computer. A computer-readable medium may be a usable medium accessible by a computer and includes both volatile and non-volatile media, and both removable and non-removable media. Additionally, a computer-readable medium may include a computer storage medium. A computer storage medium includes both volatile and non-volatile, removable and non-removable media implemented as a method or technique for storing information such as computer-readable instructions, data structures, program modules, or other data.

[0078] Although the apparatus and method of the present invention have been described in relation to specific embodiments, some or all of their components or operations may be implemented using a computer system having a general-purpose hardware architecture.

[0079] The foregoing description of the present invention is for illustrative purposes only, and those skilled in the art will understand that other specific forms can be easily modified without altering the technical spirit or essential features of the present invention. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive. For example, each component described as a single unit may be implemented in a distributed manner, and components described as distributed may likewise be implemented in a combined form.

[0080] The scope of the present invention is defined by the claims set forth below rather than by the detailed description above, and all modifications or variations derived from the meaning and scope of the claims and equivalent concepts thereof should be interpreted as being included within the scope of the present invention. Explanation of the symbols

[0081] 100: Toll Policy Analysis Device 110: Communication module 120: Memory 130: Processor 140: Database 150: User Interface 151: First interface 152: Second interface 153: Third Interface 154: Fourth Interface

Claims

Claim 1 In a congestion toll policy analysis device, a memory in which a toll policy analysis program is stored; The system includes a processor that executes a program stored in the memory, wherein the toll policy analysis program receives traffic data including vehicle traffic volume and speed of a predetermined city and observation location information, calculates a Traffic Congestion Indicator (TCI) based on the traffic data, displays the hourly average TCI in conjunction with a calendar area, and provides a first interface that receives a predetermined area and period or time as user selection information, and when the area and period or time are entered in the first interface, provides a second interface that visualizes the period-specific average TCI for the corresponding area on a map in different colors according to the level of congestion, and simultaneously provides a third interface that includes a first area that displays the average TCI for each sub-section of the area over time, and a second area that displays the average TCI for each sub-section of the area and the ratio of congested roads for each sub-section, wherein the target area to be analyzed as a sub-section of the area is entered through the second interface, and when the target area is entered in the second interface, the total delay time predicted by the traffic simulation for the target area is toll A congestion toll policy analysis device that provides a fourth interface that displays according to the collection amount of the policy, receives the collection amount to be applied as a toll policy for the target area through the fourth interface, and when the collection amount is entered in the fourth interface, updates the congestion road ratio and TCI with the collection amount applied to the corresponding target area on the second area of ​​the third interface, and also displays the previously stored congestion road ratio and TCI together for comparison. Claim 2 delete Claim 3 delete Claim 4 delete Claim 5 A congestion toll policy analysis device according to claim 1, wherein the second interface is provided as a full screen, and the first interface, third interface, and fourth interface are created as pop-up windows on the full screen. Claim 6 A method for analyzing a congestion charge policy performed by a congestion charge policy analysis device comprises: (a) receiving traffic data including vehicle traffic volume and speed of a predetermined city and observation location information; (b) calculating a Traffic Congestion Indicator (TCI) based on the traffic data, displaying an hourly average TCI linked to a calendar area, and providing a first interface that receives input of a predetermined zone and period or time as user selection information; and (c) a step of providing a second interface that, when the zone and period or time are input in the first interface, visualizes the average TCI by period for the corresponding zone on the map in different colors according to congestion, and simultaneously provides a third interface comprising a first area that displays the average TCI by sub-section of the zone over time and a second area that displays the average TCI by sub-section of the zone and the ratio of congested roads by sub-section, wherein step (c) receives a target zone to be analyzed as a sub-section of the zone through the second interface, and when the target zone is input in the second interface, provides a fourth interface that displays the total delay time predicted by the traffic simulation for the target zone according to the collection amount of the toll policy, wherein the collection amount to be applied as the toll policy for the target zone is input through the fourth interface, and when the collection amount is input in the fourth interface, the congested road to which the collection amount is applied for the corresponding target zone on the second area of ​​the third interface A congestion toll policy analysis method that updates ratios and TCIs, and displays previously stored congested road ratios and TCIs together for comparison. Claim 7 delete Claim 8 delete Claim 9 delete Claim 10 A method for analyzing congestion toll policies according to claim 6, wherein the second interface is provided as a full screen, and the first, third, and fourth interfaces are created as pop-up windows on the full screen.

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