Driving assistance system and driving assistance method
The driving assistance system addresses the challenge of evaluating power consumption and running time under obstructive conditions by using a comprehensive data recording and comparison system, ensuring accurate and motivating performance feedback for energy-efficient train operation.
Patent Information
- Application Number
- JP2022042361
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-03-17
- Publication Date
- 2025-12-15
- Estimated Expiration
- 2042-03-17
AI Technical Summary
Existing driving assistance systems fail to accurately evaluate power consumption and running time in the presence of conditions that hinder normal train operation, such as the influence of preceding trains, leading to poor evaluations and decreased driver motivation.
A driving assistance system that includes an operation data recording unit, energy consumption calculation unit, running time calculation unit, evaluation index comparison unit, and normal operation obstruction condition extraction unit, which calculates and compares actual power consumption and running time with reference values adjusted for obstruction conditions, providing a proper evaluation of driving performance.
Enables accurate evaluation of power consumption and running time even under obstructive conditions, maintaining driver motivation for energy-efficient driving by offering clear and motivating performance feedback.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present invention relates to a driving assistance system and a driving assistance method. [Background technology]
[0002] To address environmental issues and reduce operating costs, railway operators are facing the challenge of reducing the amount of power consumed by train operations. One method for reducing the amount of power consumed by train operations is to optimize the speed patterns of trains traveling between stations. Drivers' speed patterns for traveling between stations vary, which causes variations in running time and power consumption. Therefore, it is necessary to reduce the amount of power consumed by train operations by reducing the variation in speed patterns and operating in an energy-efficient manner within a range of running time that allows for punctuality.
[0003] In order to reduce the variance in speed patterns between stations with the aim of energy-efficient operation, it is effective to adopt an automatic train operation system that automates operation, as well as to introduce a driving assistance system that provides training on energy-efficient driving methods and advice on driving operations, assuming manual operation.When introducing this driving assistance system, methods that assume manual operation have lower introduction costs than the adoption of automatic train operation systems, so until automatic operation becomes mainstream in the future, it is effective to reduce the variance in speed patterns assuming manual operation.
[0004] Furthermore, in a driving assistance system aimed at energy-efficient driving, a major challenge is whether train drivers can maintain their motivation to drive when reducing the variance in speed patterns. For many drivers, this means modifying their familiar driving methods, which creates a certain degree of psychological resistance. Therefore, in order to establish energy-efficient driving methods, the energy-saving effects must be visible and noticeable to drivers. One way to address this issue is to introduce a driving assistance system that displays the amount of power consumed and running time associated with running between stations, as well as an evaluation of driving skill, on a screen in the driver's cab. In this way, drivers can check their own driving results and evaluations for each run between stations, which is expected to maintain their motivation to improve their driving methods.
[0005] For example, Patent Document 1 discloses a configuration in which a driving simulator for training driving methods converts the amount of power consumption, running time, etc. into points and presents the points to the driver as evaluation results. [Prior art documents] [Patent documents]
[0006] [Patent Document 1] Japanese Patent Publication No. 2020-134757 Summary of the Invention [Problem to be solved by the invention]
[0007] The technology described in Patent Document 1 is an evaluation method that assumes there is no influence from preceding trains. However, because on-time operation is important for railways, it is necessary to evaluate power consumption taking into account running time. Depending on the operating conditions, there are cases where it is impossible to run at the target running time due to the influence of preceding trains. As a result, points are deducted for delays due to the influence of preceding trains and energy consumption due to additional acceleration and deceleration performed out of necessity, which can result in a poor evaluation result even if the driver performs the best driving within the given constraints. If a situation arises in which the driving skill evaluation is not appropriate, it is undesirable for the driver to maintain motivation to improve driving methods.
[0008] Therefore, the present invention provides a driving assistance system and a driving assistance method that can properly evaluate running time and power consumption, even when there are conditions that hinder normal operation, such as the influence of a preceding train, and can achieve energy-saving train operation. [Means for solving the problem]
[0009] The driving assistance system includes an operation data recording unit that records operation data related to the operation history of the train; an energy consumption calculation unit that calculates the energy consumption between stations while the train is operating based on the operation data recorded in the operation data recording unit; a running time calculation unit that calculates the running time between stations while the train is operating based on the operation data recorded in the operation data recording unit; an evaluation index comparison unit that sets reference energy consumption and reference running time as comparison targets for the energy consumption and the running time, respectively, and calculates a driving evaluation of the driver while the train is operating based on a comparison result between the energy consumption and the reference energy consumption and a comparison result between the running time and the reference running time; a normal operation obstruction condition extraction unit that extracts obstruction conditions for normal operation that occur while the train is operating based on the operation data recorded in the operation data recording unit; and a comparative operation data creation unit that calculates the reference energy consumption and the reference running time based on the obstruction conditions. Furthermore, the driving assistance method calculates the amount of power consumed and the running time between stations while the train is in operation based on operation data relating to the train's operating history, extracts obstructive conditions to normal operation that occurred while the train was in operation based on the operation data, calculates the reference amount of power consumed and the reference running time based on the obstructive conditions, and calculates a driving evaluation of the driver while the train was in operation by comparing the amount of power consumed and the running time with the reference amount of power consumed and the reference running time. [Effects of the Invention]
[0010] According to the present invention, it is possible to provide a driving assistance system and a driving assistance method that can properly evaluate running time and power consumption even when conditions that hinder normal operation exist, thereby achieving energy-saving train operation. [Brief explanation of the drawings]
[0011] [Figure 1] 1 is a diagram showing a functional configuration of a driving assistance system according to an embodiment of the present invention; [Figure 2] FIG. 10 is a diagram showing examples of normal operation obstruction conditions and main impact operation obstruction factors. [Figure 3] FIG. 10 is a diagram showing examples of normal operation obstruction conditions and main impact operation obstruction factors. [Figure 4] FIG. 10 is a diagram showing examples of normal operation obstruction conditions and main impact operation obstruction factors. [Figure 5] FIG. 10 is a diagram illustrating an example of comparative operation data. [Figure 6] FIG. 10 is a diagram illustrating an example of comparative operation data. [Figure 7] FIG. 10 is a diagram showing an example of an evaluation result. [Figure 8] FIG. 10 is a diagram showing an example of an evaluation result. [Figure 9] FIG. 10 is a diagram showing an example of an evaluation result. [Figure 10] FIG. 10 is a diagram illustrating a display example of an evaluation result presentation unit. [Figure 11] FIG. 10 is a diagram illustrating an example of an evaluation method. [Figure 12] FIG. 10 is a diagram illustrating an example of an evaluation method. [Figure 13] FIG. 10 is a diagram illustrating a display example of an evaluation result presentation unit. [Figure 14] FIG. 10 is a diagram illustrating a display example of an evaluation result presentation unit.
[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The following description and drawings are examples for explaining the present invention, and some omissions and simplifications have been made as appropriate for clarity of explanation. The present invention can be implemented in various other forms. Unless otherwise specified, each component may be singular or plural.
[0013] In order to facilitate understanding of the invention, the position, size, shape, range, etc. of each component shown in the drawings may not represent the actual position, size, shape, range, etc. Therefore, the present invention is not necessarily limited to the position, size, shape, range, etc. disclosed in the drawings.
[0014] (One embodiment of the present invention and overall configuration)
[0015] The driving assistance system of the present invention is a system that evaluates the amount of power consumed and the running time associated with a train's running between stations at the end of the train's running between stations and at any time thereafter, and presents the evaluation results to the train driver.
[0016] The reference values for power consumption and running time that are used for comparison in the evaluation are determined after taking into consideration conditions that existed during train operation that would disrupt normal operation.In the explanation of the driving assistance system below, conditions that disrupt normal train operation are given as examples, such as signal aspects due to the influence of preceding trains obtained from signaling devices, temporary speed limits due to worsening weather obtained from traffic management devices, and obstacle risks obtained from obstacle detection devices, and the corresponding speed limits are shown.
[0017] (Figure 1) The driving assistance system is composed of an operation data recording unit 101, a power consumption calculation unit 102, a driving time calculation unit 103, an evaluation index comparison unit 104, an evaluation result presentation unit 105, a normal operation obstruction condition extraction unit 106, a comparison operation data creation unit 107, a signal device 108, an operation management device 109, and an obstacle detection device 110.
[0018] The operation data recording unit 101 is a device that records operation data related to the operation record of a train. A specific example of such a device is a driving status recording device. The operation data recording unit 101 records data in chronological order, at least, on the train position, train speed, information on power consumption associated with operation, information on speed limits, and factors that impede the normal operation of the train. Note that the operation data recording unit 101 is not limited to a driving status recording device, and may be any device that can record this information in chronological order.
[0019] The operation data recording unit 101 is connected to a signal device 108, an operation management device 109, and an obstacle detection device 110 as sources of information about conditions that hinder normal operation. In FIG. 1, these devices are directly connected to the operation data recording unit 101, but they may be indirectly connected via other devices as long as they can receive the necessary data.
[0020] The signal device 108 is a device that manages the speed limit that the train itself must observe, depending on track conditions such as curves and the distance to the preceding train. Although the signal device 108 in this embodiment is described as an on-board device, it is generally located separately on the ground and on the train. The operation data recording unit 101 receives and constantly records signal aspect 160, which is the speed limit for the current train position, from the signal device 108. Information on the signal aspect 160 is notified to the train driver via a cab screen or the like. Upon recognizing the information on the signal aspect 160, the driver controls the train speed so that the signal aspect 160 is observed.
[0021] The traffic management device 109 is a ground device that controls the operation of each train on the route, and also transmits information on temporary speed limits in response to worsening weather, etc. The operation data recording unit 101 receives and records temporary speed limits 161 from the traffic management device 109. The temporary speed limit 161 is defined by the target section and the speed limit value regarding the speed limit on the route. Information on the temporary speed limit 161 is notified to the train driver via a cab screen, etc. The driver who recognizes the temporary speed limit 161 controls the train speed so that it adheres to the temporary speed limit 161.
[0022] The obstacle detection device 110 is a device that determines the risk of an obstacle interfering with the operation of the train. It is equipped with sensors such as a camera and radar for recognizing the external world, and determines the type of obstacle and the risk of operation interruption caused by it based on the results of the recognition of the external world. The operation data recording unit 101 receives and records the obstacle risk speed limit 162 from the obstacle detection device 110. The obstacle risk speed limit 162 is defined by the target section and the speed limit value regarding the speed limit on the line. The obstacle risk speed limit 162 is notified to the train driver via a cab screen or the like. Upon recognizing the obstacle risk speed limit 162, the driver controls the train speed so as to observe the obstacle risk speed limit 162.
[0023] The operation data recording unit 101 transmits power consumption information 151, train position 153, and train speed 154 to the power consumption calculation unit 102 at the end of inter-station travel and at subsequent times. An example of the power consumption information 151 is the input voltage and input current of each inverter in the train. In this case, the power consumption calculation unit 102 calculates the instantaneous power consumption of the train by summing the products of the input voltages and input currents for all inverters installed in the train, and then integrates this for the time range of the inter-station travel to calculate the actual inter-station power consumption 152. The power consumption calculation unit 102 uses the train position 153 and the train speed 154 to determine the time range of the inter-station travel that is the target. This time range of the inter-station travel is the time range from the time when the speed changes from zero to positive at the departure station position of the train between the target stations to the time when the speed changes from positive to zero at the stop station position. In this way, the power consumption calculation unit 102 calculates the power consumption 152 between stations when the train is in operation based on the operation data recorded in the operation data recording unit 101. The actual power consumption 152 between stations calculated by the power consumption calculation unit 102 is transmitted to the evaluation index comparison unit 104.
[0024] Note that the calculation of power consumption by the power consumption calculation unit 102 may be performed only when the input current is positive, i.e., only for powering excluding regeneration. This allows the influence of the presence of other trains on the track and the braking / driving state of the train to be excluded, and the power consumption of the train itself to be evaluated.
[0025] The operation data recording unit 101 transmits train position 153 and train speed 154 to the running time calculation unit 103. The running time calculation unit 103 calculates, as running time 155, the time from the time when the speed changes from zero to positive to the time when the train position 153 is at a stop station and the speed changes from positive to zero, using the position of the departure station for the target inter-station run as train position 153. In this way, the running time calculation unit 103 calculates the running time 155 between stations during train operation, based on the operation data recorded in the operation data recording unit 101. The running time 155 calculated by the running time calculation unit 103 is transmitted to the evaluation index comparison unit 104.
[0026] The operation data recording unit 101 transmits the train position 153 and the additional speed limit information 157 to the normal operation obstruction condition extraction unit 106. The additional speed limit information 157 includes all of the contents of the signal aspect 160, the temporary speed limit 161, and the obstacle risk speed limit 162 stored in the operation data recording unit 101.
[0027] The normal operation obstruction condition extraction unit 106 extracts obstruction conditions 158 for normal operation that occur during train operation based on the recorded operation data information acquired from the operation data recording unit 101. The normal operation obstruction conditions 158 and main impacting operation obstruction factors 163 are generated. In this manner, the normal operation obstruction conditions 158 are transmitted to the comparison operation data creation unit 107 as information defined by the correspondence between position and speed within the line. The main impacting operation obstruction factors 163 are transmitted to the evaluation result presentation unit 105 as information indicating factors that are substantially reflected in the normal operation obstruction conditions 158 with lower priority given to speed, targeting multiple pieces of information related to speed limits included in the additional speed limit information 157. The method of generating the normal operation obstruction conditions 158 and the main impacting operation obstruction factors 163 will be described later with reference to Figures 2 to 4.
[0028] The comparative operation data creation unit 107 creates comparative operation data for comparison with the most recent operation record, assuming the normal operation obstruction conditions 158 received from the normal operation obstruction condition extraction unit 106, and generates an evaluation reference value 159 for evaluating the operation record. The comparative operation data is time-series operation data, and includes information on speed, position, notch operation, and the associated power consumption. A method for creating the comparative operation data will be described later. The evaluation reference value 159 is generated from the comparative operation data based on the obstruction conditions 158, and is the power consumption between stations serving as a comparison standard (hereinafter referred to as the reference power consumption between stations) and the running time between stations serving as a comparison standard (hereinafter referred to as the reference running time between stations), and is sent to the evaluation index comparison unit 104.
[0029] The reference inter-station power consumption is calculated by integrating the power consumption included in the comparative operation data over the time the train travels between stations. The reference inter-station running time is calculated by referencing the position information and speed information included in the comparative operation data, and is calculated as the time from when the train is at the departure station and its speed changes from zero to positive to when the train is at the stop station and its speed changes from positive to zero. The calculation method is the same as the calculation method used by the running time calculation unit 103.
[0030] The evaluation index comparison unit 104 compares the evaluation reference value 159 received from the comparison operation data creation unit 107, the actual inter-station energy consumption 152 received from the energy consumption calculation unit 102, and the actual inter-station running time 155 received from the running time calculation unit 103 to generate an evaluation result 156. Specifically, for the energy consumption 152 and the running time 155, reference energy consumption and reference running time that are comparison targets included in the evaluation reference value 159 are set, and based on the comparison results between the energy consumption 152 and the reference energy consumption and the comparison results between the running time 155 and the reference running time, an evaluation result 156 that is the driver's driving evaluation during train operation is calculated. The calculated evaluation result 156 is transmitted to the evaluation result presentation unit 105.
[0031] The evaluation result presentation unit 105 receives the comparison result, which is the driving evaluation calculated by the evaluation index comparison unit 104, and presents the information to the driver via a visual display device such as the driver's cab screen of the vehicle information device. Details will be described later with reference to Figures 7 to 9.
[0032] The processing units described above—the power consumption calculation unit 102, running time calculation unit 103, evaluation index comparison unit 104, normal operation obstruction condition extraction unit 106, and comparison operation data creation unit 107—can be installed in either ground-based or on-board equipment, with data exchanged between ground-based and on-board communication as needed. In particular, the comparison operation data creation unit 107 requires a large amount of processing and uses a database of past operation data. Therefore, processing the data on a high-performance ground server can reduce the cost and size of the on-board equipment. The evaluation result presentation unit 105 is implemented on a driver's cab screen on the train and is intended for the driver to check immediately after the train has completed its inter-station run. However, it may also be implemented on a tablet device carried by the driver or a computer terminal used on the ground.
[0033] (Figs. 2 to 4) The following describes how the normal operation obstruction condition extraction unit 106 generates the normal operation obstruction conditions 158 and the main impact operation obstruction factors 163. In Figures 2 to 4 , the left diagram shows the relationship between position and speed of the permanent speed limit, which is known as route information, and the speed limit information included in the additional speed limit information 157, which is information about the obstruction conditions 158 that are not included in the permanent speed limit. In this embodiment, the additional speed limit information 157 includes three types: signal aspect 160, temporary speed limit 161, and obstacle risk speed limit 162. However, in some cases, some or all of the speed limit information may not occur. In such cases, the additional speed limit information 157 includes only the speed limit information that has occurred. The right diagram shows the normal operation obstruction conditions 158 generated by the normal operation obstruction condition extraction unit 106 in terms of the relationship between position and speed. The lower part of the right diagram shows the main impact operation obstruction factors 163, which are the speed limit information that substantially influenced (main impact) the generation of the normal operation obstruction conditions 158.
[0034] FIG. 2 shows an example in which the additional speed limit information 157 is only a signal aspect 160. The left diagram in FIG. 2 shows a permanent speed limit that extends across the entire section between stations, and a signal aspect 160 that exists near the destination station. In this case, the speed pattern shown in the right diagram, which gives priority to lower speeds for the permanent speed limit and signal aspect 160, becomes a normal operation obstruction condition 158. In addition, in this case, the main operation obstruction factor 163 is only the signal aspect 160. In other words, the additional speed limit information 157 is a speed limit set by the signal aspect 160 by the signal device 108.
[0035] FIG. 3 shows an example in which additional speed limit information 157 includes three types: signal aspect 160, temporary speed limit 161, and obstacle risk speed limit 162. The left diagram in FIG. 3 shows the permanent speed limit for the entire section between stations and three types of speed limit information, with the three speed limits not overlapping. In this case, the speed pattern shown on the right diagram, which prioritizes the lower speeds for the permanent speed limit and the three speed limits, becomes normal operation obstruction condition 158. Furthermore, in this case, the main operation obstruction factors 163 include all three types: signal aspect 160, temporary speed limit 161, and obstacle risk speed limit 162. In other words, additional speed limit information 157 includes not only signal aspect 160 by signal device 108, but also temporary speed limit 161 set due to worsening weather conditions and other circumstances, and speed limits set due to obstacles ahead of the train.
[0036] In FIG. 4, the additional speed limit information 157 is of three types: a signal aspect 160, a temporary speed limit 161, and an obstacle risk speed limit 162. However, unlike FIG. 3, LimitedThis is an example of a case where the locations of obstacles affecting speed partially overlap. The left diagram in Figure 4 shows the permanent speed limit across the entire section between stations and three types of speed limit information. Of the three types of speed limits, signal aspect 160 and temporary speed limit 161 overlap, and the section of temporary speed limit 161 is included in the section of signal aspect 160. In other words, the speed limit value for signal aspect 160 is lower than that of temporary speed limit 161, so the speed limit is set to match the lower signal aspect 160. As a result, the speed pattern shown in the right diagram, which prioritizes the lower speed for the permanent speed limit and the three types of speed limits, becomes normal operation obstacle condition 158. Temporary speed limit 161 does not actually affect normal operation obstacle condition 158. Therefore, the main impacting operation obstacles 163 are signal aspect 160 and obstacle risk speed limit 162.
[0037] The normal operation obstruction condition extraction unit 106 functions to take into account the additional speed limits that do not exist on the permanent speed limits described above, and generates new speed limit information, which is then used to search for the optimal driving pattern that takes energy conservation into consideration.
[0038] Furthermore, since the obstructing factors can be patterned with a certain degree of variation, and are limited to sections with bridges or rivers, for example, it is possible to search for the same conditions in the past, obtain data on days with the same speed limit, and use the optimal driving style that takes energy conservation into consideration, the driving time at that time, and the amount of power consumed as the threshold for the final judgment.
[0039] (Figure 5) In this example, the comparative operation data creation unit 107 uses the fastest pattern that takes into account the normal operation obstruction conditions 158 as the comparative operation data. Under conditions where additional speed limits exist in addition to the permanent speed limit, it is generally considered that the train should run so as to minimize delays. Therefore, the fastest pattern that takes into account the normal operation obstruction conditions 158 is the best running speed pattern. However, with so many speed limits, the train must significantly reduce its speed relative to the permanent speed limits, resulting in a slower run than the target. Therefore, the fastest pattern, even if it is delayed from the timetable, is adopted as the most suitable operation data for comparison with actual operation. In other words, a running time equal to or greater than the running time specified in the timetable is adopted as the comparative operation data. Thus, the reference running time is the time from the time the train departs from the departure station to the earliest arrival time at the destination station after the scheduled arrival time, under the presence of the obstruction conditions 158.
[0040] (Figure 6) FIG. 6 shows an example in which the comparative operation data creation unit 107 uses an energy-saving running pattern (energy-saving pattern) as comparative operation data. The running speed pattern that takes into account the normal operation obstruction conditions 158 in FIG. 5 described above applies the fastest pattern, resulting in no flexibility. However, if the running time of the fastest pattern that takes energy saving into account is shorter than the running time specified in the timetable, the train cannot run faster than the timetable (because it cannot run shorter than the running time specified in the timetable), and therefore must match the running time specified in the timetable. In this case, the optimal running time that takes energy saving into account has more leeway than the running time of the fastest pattern. Utilizing this leeway allows for flexibility in the running speed pattern. That is, by running at the running time specified in the timetable and then reducing the maximum speed or increasing coasting from the calculated fastest pattern, an optimal speed pattern that runs between stations within the running time specified in the timetable and is energy-efficient can be generated. In such cases, a mathematically generated energy-saving running pattern that runs at the running time specified in the timetable is used as comparative operation data.
[0041] There are many existing researches on mathematical methods for generating energy-saving patterns, such as methods using dynamic programming and hill-climbing methods, and these methods can be utilized.
[0042] (Figures 7 to 9) The evaluation index comparison unit 104 calculates a reference power consumption amount based on an energy-saving pattern (operation data for energy-saving driving) calculated using past operation data search and operation simulation, or an average pattern (operation data for driving with average power consumption) calculated using past operation data search, and then compares the reference power consumption amount with the actual value to calculate an evaluation value. This section explains the process.
[0043] First, we will explain two methods for obtaining operational data for energy-efficient driving: searching past operational data and using operational simulation.
[0044] (Method of creating comparative operation data by searching past operation data) The search for past operation data is performed using a group of operation data previously accumulated between target stations. The accumulated operation data is time-series operation data, and includes information on speed, position, notch operation, power consumption, and speed limit. The speed limit information is speed information that takes lower priority from signal aspects 160, temporary speed limits 161, obstacle risk speed limits 162, and permanent speed limits (see Figures 2 to 4). The accumulation of operation data can be achieved by periodically acquiring data from the operation data recording unit 101, which is a driving status recording device.
[0045] Past operation data is searched based on the relationship between location and speed limit. Each piece of accumulated operation data contains information on location and speed limit in chronological order, so the relationship between location and speed limit can be created. Furthermore, the normal operation obstruction condition 158 described above is defined as the relationship between location and speed limit. Based on this, past operation data whose relationship between location and speed limit matches the normal operation obstruction condition 158 in the driving record is searched for and extracted.
[0046] From the extracted past operation data, operation data showing inter-station running with the shortest running time within a range that does not cause the train to arrive earlier than the scheduled timetable is re-extracted. The running time of this operation data is defined as the reference inter-station running time. Furthermore, from the re-extracted operation data, operation data showing the most energy-efficient running and operation data showing running with average power consumption are searched for, and the respective power amounts are defined as the reference inter-station power consumption (energy-efficient) and the reference inter-station power consumption (average). When the power consumption calculation unit 102 uses power consumption calculation based only on power running power, it also searches for operation data showing energy-efficient and average power amounts from the perspective of power running power.
[0047] In addition, when the reference inter-station running time is determined, if the number of re-extracted operation data is small (e.g., three or less), in order to re-extract multiple operation data, the reference inter-station running time may be set to the shortest running time within a range of approximately 5 to 10 seconds that does not cause the train to arrive earlier than the schedule.
[0048] In this way, the comparison operation data creation unit 107 calculates the reference driving time and the reference power consumption by extracting operation data when the obstruction condition 158 exists from the past operation data recorded in the operation data recording unit 101.
[0049] (Method of creating comparative operation data using operation simulation) Condition settings required for operation simulation include vehicle conditions (weight, running resistance characteristics, tractive force, braking force, and electric braking force characteristics), route conditions (station kilometers, route gradient and curvature, presence or absence of tunnels, speed limit), timetable conditions (travel time between stations), and driving method conditions. Of these, conditions other than the speed limit are stored in advance in the comparison operation data creation unit 107. Furthermore, normal operation obstruction conditions 158 are used as speed limit conditions.
[0050] The weight, which is included in the vehicle conditions, is affected by passenger load fluctuations depending on the day of the week and time of day. Therefore, by additionally acquiring and using the passenger load value for the inter-station running to be simulated from the operation data recording unit 101, it is possible to perform a more accurate operation simulation in terms of speed patterns and power consumption. Furthermore, the traction force characteristics, which are included in the vehicle conditions, are affected by the overhead line voltage in electric railways. Therefore, by additionally acquiring and using the overhead line voltage value for the inter-station running to be simulated from the operation data recording unit 101, it is possible to perform a more accurate operation simulation in terms of speed patterns and power consumption. Furthermore, the electrical braking force characteristics, which are included in the vehicle conditions, are affected by the overhead line voltage in electric railways. Therefore, by additionally acquiring and using the overhead line voltage value for the inter-station running to be simulated from the operation data recording unit 101, it is possible to perform a more accurate operation simulation in terms of power consumption. Furthermore, the driving method conditions are how the running speed pattern during inter-station running is determined, and ultimately, the notch handling strategy. The running time and power consumption vary depending on the driving method conditions.
[0051] In the operation simulation for creating comparative operation data, a running speed pattern is first generated that allows the train to travel between stations in the shortest time, assuming normal operation obstruction conditions 158. The fastest pattern is a speed pattern that uses the maximum acceleration and maximum deceleration allowed in consideration of safety and ride comfort, and runs at an increased speed within a range that does not exceed the speed limit.
[0052] As described above in Figure 5, if the running time when traveling between stations at the fastest pattern is equal to or longer than the running time specified in the timetable, the fastest pattern is used as the comparative operation data. If a normal operation obstruction condition 158 exists that requires the train to significantly reduce its speed compared to the permanent speed limit, as described above in Figure 6, even if the train travels at the fastest speed, it cannot travel for a shorter running time than the running time specified in the timetable, and the fastest pattern becomes the comparative operation data.
[0053] The reference inter-station running time is the longer of the running time when running between stations using the fastest pattern or the running time specified in the timetable.If the reference inter-station running time is the running time when running between stations using the fastest pattern, the reference inter-station energy consumption is defined as the energy consumption between stations when running using the fastest pattern.Also, if the reference inter-station running time is the running time specified in the timetable, the reference inter-station energy consumption is defined as the energy consumption between stations when running using the energy-saving pattern.
[0054] Here, the inter-station power consumption can be calculated by accumulating the instantaneous power consumption estimated from the magnitude of traction force and electric control force required to run along the fastest pattern, taking into consideration equipment efficiency, etc., over the course of running between stations. Note that when the power consumption calculation unit 102 uses power consumption calculation that targets only power running, here too, the power running amount between stations is calculated by accumulating only positive power consumption.
[0055] Since it is difficult to represent variations in driving patterns in actual driving using operation simulation methods, only operation data for energy-efficient driving is generated as comparative operation data, rather than data for driving with average power consumption.
[0056] In this way, the comparative operation data creation unit 107 calculates the reference inter-station running time and the reference inter-station power consumption by running simulation on a computer including obstruction conditions, and compares these with actual values such as the actual inter-station power consumption 152 and the actual inter-station running time 155 using these as thresholds, thereby outputting the evaluation reference value 159 to the evaluation index comparison unit 104. Based on the above two methods, the evaluation results in Figs. 7 to 9 will be explained.
[0057] In the energy-saving patterns of Figures 7 and 9, the reference power consumption is the amount of power consumed when a train runs between stations in the reference running time with the least amount of power consumption.
[0058] In the average pattern of Fig. 8, the reference power consumption is the average power consumption when a train travels between stations in the reference running time. In order to provide an index aimed at energy conservation, the evaluation index comparison unit 104 calculates the operation evaluation so that when the power consumption 152 is below the reference power consumption, it is evaluated higher than when it is above the reference power consumption.
[0059] (Calculation of evaluation results) The calculation of the evaluation result 156 generated by the evaluation index comparison unit 104 will be described below. First, the numerical values of the evaluation result 156, such as the running time and the amount of power consumption, are compared, and the difference is calculated. As shown in FIGS. 7 to 9, the evaluation result 156 includes the calculated difference along with the numerical values of each comparison target. The difference is a value based on the evaluation reference value 159.
[0060] 7, the reference inter-station running time included in the evaluation reference value 159 (result of searching past operation data, energy saving) is compared with the actual inter-station running time 155. Also, the reference inter-station power consumption amount included in the evaluation reference value 159 (result of searching past operation data, energy saving) is compared with the actual inter-station power consumption amount 152.
[0061] 8, the reference inter-station running time (average result from searching past operation data) included in the evaluation reference value 159 is compared with the actual inter-station running time 155. Also, the reference inter-station power consumption amount (average result from searching past operation data) included in the evaluation reference value 159 is compared with the actual inter-station power consumption amount 152.
[0062] 9, the reference inter-station running time (result of operation simulation) included in the evaluation reference value 159 is compared with the actual inter-station running time 155. The reference inter-station power consumption amount (result of operation simulation) included in the evaluation reference value 159 is compared with the actual inter-station power consumption amount 152.
[0063] Next, based on a comparison of the running time and power consumption values, a score is assigned so that the closer the actual value is to the ideal value, the higher the score.The ideal value for running time is determined from the reference inter-station running time included in the evaluation reference value 159, using either the results of a search of past operation data or the results of an operation simulation.
[0064] Finally, the evaluation result (scoring result) based on the comparison of the running time and power consumption values is compared with a predetermined reference score value, and a pass / fail judgment is made for a score that exceeds the reference score value. Also, regarding the power consumption amount, the average value obtained by searching past operation data among the reference inter-station power consumption amounts included in the evaluation reference value 159 is compared with the actual inter-station power consumption amount, and a pass / fail judgment is made for a score that exceeds the reference score value.
[0065] The information in FIGS. 7 to 9 evaluated as described above is displayed by the evaluation result presenting unit 105 in the form of numerical values in a table format or in the form of a graph.
[0066] It should be noted that the evaluation result presentation unit 105 does not need to display all of the information in Figures 7 to 9, and may display only a portion of the information. Furthermore, the evaluation result presentation unit 105 also displays the contents of the main influencing operation obstruction factors 163 acquired from the normal operation obstruction condition extraction unit 106 on the display device (see Figures 10, 13, and 14). This allows the driver to recognize the operating conditions under which the reference inter-station running time and reference inter-station power consumption that are being compared with his or her own driving performance were calculated, and the validity of the results of the comparative evaluation can be confirmed.
[0067] (Figure 10) 10 shows a driving performance screen that is an example of a presentation of evaluation results 156 obtained by comparing the values of driving time and power consumption and calculating the difference, and main influencing driving obstruction factors 163. In this way, the evaluation result presentation unit 105 displays, in a graph, at least one of the comparison results between the power consumption 152 and the reference power consumption and the comparison results between the driving time 155 and the reference driving time, which are compared in the evaluation index comparison unit 104. Furthermore, the evaluation result presentation unit 105 further displays the presence or absence of driving obstruction factors for obstruction conditions 158 related to the driving evaluation.
[0068] (Figure 11) Figure 11 shows an example of how to assign a score to the running time 155. As shown in the graph of this example, a time range is set so that the closer the running time between stations is to the reference running time, the higher the score, and the further away from that range the score is, the lower the score is. In this way, the evaluation index comparison unit 104 calculates the driving evaluation so that the closer the running time 155 is to the reference running time, the higher the evaluation is.
[0069] (Figure 12) FIG. 12 shows an example of how to assign a score to the power consumption amount 152. In this example, a time-minute range that will give the highest score is set around the reference inter-station power consumption amount, and the score is assigned so that the score decreases as the power consumption increases beyond that range. In this way, the evaluation index comparison unit 104 calculates the operation evaluation so that the closer the power consumption amount 152 is to the reference power consumption amount, the higher the evaluation. Note that the ideal value of the power consumption amount is either an energy-efficient value obtained by searching past operation data from the reference inter-station power consumption amounts included in the evaluation reference value 159, or the result of an operation simulation.
[0070] (Figure 13) This is an example of the presentation of the evaluation result 156 in the evaluation result presentation unit 105, and is a method of assigning scores based on a comparison of the aforementioned values of running time and power consumption, with higher scores being assigned the closer the actual values are to the ideal values. The evaluation result presentation unit 105 displays these scores on a display device that can be seen by the driver, such as the driver's cab screen of the vehicle information device. When displaying the scores, the running time score and power consumption score may be displayed separately, or a value obtained by adding the two together and weighting them in some way may be displayed. It is desirable that the evaluation result presentation unit 105 also displays the contents of the main influencing operation obstruction factors 163 obtained from the normal operation obstruction condition extraction unit 106 on the display device.
[0071] (Figure 14) 14 shows an example of the evaluation result 156 presented by the evaluation result presentation unit 105. The evaluation result (score result) based on a comparison of the numerical values of the driving time and the amount of power consumption is compared with a predetermined reference score, and a pass / fail judgment is displayed in which a score exceeding the reference score indicates a pass. FIG. 14 shows an example in which the evaluation result 156 is a pass. For example, as shown in the figure, it is possible to display "adequate" for the driving time and "ECO" for the amount of power consumption.
[0072] The present invention described above calculates the power consumption 152 and running time 155 between stations when the train is in operation based on operation data related to the actual operation of the train, extracts obstruction conditions 158 to normal operation that occur when the train is in operation based on the operation data, calculates the reference power consumption and the reference running time based on the obstruction conditions, and compares the power consumption 152 and the running time 155 with the reference power consumption and the reference running time to estimate the driver's behavior when the train is in operation. Evaluation results 156. This driving assistance method makes it possible to provide a driving assistance system that can present appropriate evaluation results in accordance with the driving situation.
[0073] According to the embodiment of the present invention described above, the following advantageous effects are achieved.
[0074] (1) The driving assistance system includes an operation data recording unit 101 that records operation data related to the operation record of the train, an energy consumption calculation unit 102 that calculates the energy consumption 152 between stations when the train is in operation based on the operation data recorded in the operation data recording unit 101, a running time calculation unit 103 that calculates the running time 155 between stations when the train is in operation based on the operation data recorded in the operation data recording unit 101, and a running time calculation unit 103 that sets a reference energy consumption and a reference running time to be compared for the energy consumption 152 and the running time 155, respectively, and calculates the driver's energy consumption during the operation of the train based on the comparison result between the energy consumption 152 and the reference energy consumption and the comparison result between the running time 155 and the reference running time. Evaluation results The train operation system further comprises an evaluation index comparison unit 104 that calculates an evaluation index 156 for calculating a reference power consumption amount and a reference running time based on the operation data recorded in the operation data recording unit 101. The train operation system further comprises a normal operation obstruction condition extraction unit 106 that extracts obstruction conditions 158 for normal operation that occur during train operation based on the operation data recorded in the operation data recording unit 101, and a comparison operation data creation unit 107 that calculates a reference power consumption amount and a reference running time based on the obstruction conditions 158. In this way, even when there are conditions that obstruct normal operation, the running time and power consumption can be properly evaluated, and energy savings in train operation can be achieved.
[0075] (2) The driving evaluation calculated by the evaluation index comparison unit 104 is hand In this way, the driver can maintain motivation for improving the driving method with energy conservation in mind.
[0076] (3) The reference running time is the time from the time when the train departs from the departure station to the earliest arrival time at which the train can arrive at the destination station after the scheduled arrival time under the presence of the obstruction condition 158. In this way, a target running time based on the obstruction condition 158 can be created.
[0077] (4) The evaluation index comparison unit 104 calculates the driving evaluation so that the closer the driving time 155 is to the reference driving time, the higher the evaluation. In this way, the evaluation result 156 can be made clear.
[0078] (5) The reference power consumption is the amount of power consumed when a train runs between stations in the reference running time with the least amount of power consumption. This allows us to create a standard for the amount of power consumed when running a train in an energy-efficient manner.
[0079] (6) The evaluation index comparison unit 104 calculates the driving evaluation so that the closer the power consumption amount is to the reference power consumption amount, the higher the evaluation. In this way, the evaluation result 156 can be made clear.
[0080] (7) The reference power consumption is the average power consumption when a train travels between stations for the reference running time. This allows us to create a standard for the amount of power consumed when running a train in an energy-efficient manner.
[0081] (8) The evaluation index comparison unit 104 evaluates the power consumption 152 so that it is evaluated higher when the power consumption 152 is lower than the reference power consumption than when the power consumption 152 is higher than the reference power consumption. Evaluation results 156. This makes it possible to clearly evaluate the energy-efficient running of trains based on the average amount of power consumption.
[0082] (9) The comparative operation data creation unit 107 calculates the reference running time and the reference power consumption by extracting operation data when the obstruction condition 158 exists from the past operation data recorded in the operation data recording unit 101. In this way, even if there is a preceding train, it is possible to create a standard for the optimal energy-saving running of the train.
[0083] (10) The comparative operation data creation unit 107 calculates the reference running time and the reference power consumption amount by running simulation on a computer including the obstruction conditions 158. In this way, an evaluation standard can be created even if there is no past operation data.
[0084] (11) The obstruction condition 158 is an additional speed limit that does not exist on the permanent speed limit. By doing so, it is possible to create a standard for energy-saving running of a train when there is a preceding train, for example.
[0085] (12) The additional speed limit is a speed limit set by a signal display by the signaling device 108. In this way, it is possible to create an obstruction condition 158 that includes speed limit information when a preceding train exists.
[0086] (13) The additional speed limit is a speed limit set according to weather conditions. In this way, the inhibition condition 158 can be created that includes speed limit information for bad weather.
[0087] (14) The additional speed limit is a speed limit set by an obstacle present ahead of the train. By doing so, for example, it is possible to create an obstruction condition 158 that includes speed limit information that takes into account external obstacles that pose a risk to the running of the train.
[0088] (15) The evaluation result presentation unit 105 displays the inhibiting conditions 158 related to the driving evaluation. This allows the driver to clearly recognize the inhibiting conditions 158 and maintain motivation to devise an energy-saving driving method.
[0089] (16) The evaluation result presentation unit 105 further displays in a graph at least one of the comparison results between the power consumption 152 and the reference power consumption and the comparison results between the running time 155 and the reference running time, which are compared by the evaluation index comparison unit 104. In this way, the driver can recognize the running evaluation result 156 of his / her train.
[0090] The driving support method of the present invention calculates the power consumption 152 and running time 155 between stations when the train is in operation based on operation data related to the train's operation record, extracts obstruction conditions 158 for normal operation that occur when the train is in operation based on the operation data, calculates a reference power consumption and a reference running time based on the obstruction conditions 158, and compares the power consumption 152 and running time 158 with the reference power consumption and reference running time to estimate the driver's behavior when the train is in operation. Evaluation results By doing this, even if there are conditions that hinder normal operation, the running time and power consumption can be properly evaluated, and energy savings in train operation can be achieved.
[0091] The present invention is not limited to the above-described embodiments, and various modifications and combinations of other configurations are possible without departing from the spirit of the present invention. Furthermore, the present invention is not limited to those having all of the configurations described in the above-described embodiments, and includes those in which some of the configurations are omitted. [Explanation of symbols]
[0092] 101 operation data recording unit, 102 power consumption calculation unit, 103 running time calculation unit, 104 evaluation index comparison unit, 105 evaluation result presentation unit, 106 normal operation obstruction condition extraction unit, 107 comparison operation data creation unit, 108 signal device, 109 operation control device, 110 Obstacle detection device, 151 Power consumption information, 152 Actual power consumption between stations, 153 Train position, 154 Train speed, 155 Actual running time between stations, 156 Evaluation results, 157 Additional speed limit information, 158 Conditions hindering normal operation, 159 Reference values for evaluation, 160 Signal indication, 161 Temporary speed limit, 162 Obstacle risk speed limit, 163 Main impact operation obstruction factors
Claims
1. an operation data recording unit that records operation data relating to the operation record of the train; a power consumption calculation unit that calculates the power consumption between stations during operation of the train based on the operation data recorded in the operation data recording unit; a running time calculation unit that calculates a running time between stations during operation of the train based on the operation data recorded in the operation data recording unit; an evaluation index comparison unit that sets a reference energy consumption amount and a reference running time to be compared with the energy consumption amount and the running time, respectively, and calculates a driving evaluation of the driver during operation of the train based on a comparison result between the energy consumption amount and the reference energy consumption amount and a comparison result between the running time and the reference running time; a normal operation obstruction condition extraction unit that extracts obstruction conditions for normal operation that occur during operation of the train based on the operation data recorded in the operation data recording unit; a comparative operation data creation unit that calculates the reference power consumption amount and the reference running time based on the obstruction condition, Driver assistance system.
2. The driving assistance system according to claim 1, an evaluation result presentation unit that presents the driving evaluation calculated by the evaluation index comparison unit to the driver; Driver assistance system.
3. The driving assistance system according to claim 1 or 2, The reference running time is the time from the time when the train departs from the departure station to the earliest arrival time at which the train can arrive at the destination station after the scheduled arrival time under the presence of the obstruction condition. Driver assistance system.
4. The driving assistance system according to claim 3, The evaluation index comparison unit calculates the driving evaluation so that the closer the driving time is to the reference driving time, the higher the evaluation. Driver assistance system.
5. The driving assistance system according to claim 1, The reference power consumption amount is the amount of power consumed when the train runs between the stations in the reference running time with the least power consumption. Driver assistance system.
6. The driving assistance system according to claim 5, The evaluation index comparison unit calculates the driving evaluation so that the closer the power consumption amount is to the reference power consumption amount, the higher the evaluation. Driver assistance system.
7. The driving assistance system according to claim 1, The reference power consumption amount is the average power consumption amount when the train travels between the stations in the reference travel time. Driver assistance system.
8. The driving assistance system according to claim 7, The evaluation index comparison unit calculates the operation evaluation so that, when the power consumption amount is below the reference power consumption amount, the operation evaluation is higher than when the power consumption amount is above the reference power consumption amount. Driver assistance system.
9. The driving assistance system according to claim 1, The comparative operation data creation unit calculates the reference driving time and the reference power consumption by extracting the operation data when the obstructing condition existed from the past operation data recorded in the operation data recording unit. Driver assistance system.
10. The driving assistance system according to claim 1, The comparative driving data creation unit calculates the reference driving time and the reference power consumption amount by a driving simulation on a computer that includes the inhibiting condition. Driver assistance system.
11. The driving assistance system according to claim 1, The inhibiting condition is an additional speed limit that does not exist on the permanent speed limit. Driver assistance system.
12. The driving assistance system according to claim 11, The additional speed limit is the speed limit set by the signal display by the signal device. Driver assistance system.
13. The driving assistance system according to claim 11, The additional speed limit is a speed limit set by weather conditions. Driver assistance system.
14. The driving assistance system according to claim 11, The additional speed limit is a speed limit set by an obstacle present ahead of the train. Driver assistance system.
15. The driving assistance system according to claim 2, The evaluation result presentation unit further displays the inhibiting condition related to the driving evaluation. Driver assistance system.
16. The driving assistance system according to claim 2, The evaluation result presentation unit further displays, in a graph, at least one of the comparison results between the power consumption amount and the reference power consumption amount and the comparison results between the running time and the reference running time, which are compared by the evaluation index comparison unit. Driver assistance system.
17. A driving assistance method executed by a computer, comprising: The computer Calculating the amount of power consumed between stations and the running time of the train based on operation data relating to the train's operation record; extracting, based on the operation data, an obstruction condition to normal operation that occurs during the operation of the train; Calculating a reference power consumption amount and a reference driving time based on the inhibiting condition; The power consumption amount and the running time are compared with the reference power consumption amount and the reference running time to calculate a driving evaluation of the driver during the operation of the train. Driving assistance methods.
Citation Information
Patent Citations
Monitoring device for train running curve
JP1993058299A
Operation result data analyzing system, program and recording medium
JP2008184052A
Diagram restoring training system and method
JP2009190473A
Train travel actual record analyzer, train travel actual record analysis system, and control program
JP2015077912A
Computing system
JP2015182684A