JPH11232583A - Traffic simulation system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To realize a situation closer to an actual road state on a simulator by a processing speed close to real time by inputting information on vehicles passing through the sensing ranges of some sensors installed on an actual road by each cycle of a fixed time in real time. SOLUTION: Macro information (vehicle information) 12 and 13 on 'the number of vehicles passing through', 'average vehicle speed', etc. of vehicles passing through the sensing ranges of respective sensors 2 and 3 respectively by the cycle of the fixed time being five minutes, e.g. are obtained from the respective sensors 2 and 3. This macro information 12 and 13 are inputted to a traffic simulator 7 in real time. At the simulator 7, a picture similar to the actual road 1, namely a road 8, is displayed on a display part based on macro information inputted with the cycle of the fixed time and in order to take compatibility with macro information, individual vehicles judge a surrounding traffic situation, and the simulator 7 of a micro model executing acceleration processing adjusts the parameter of a vehicle following equation.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention uses a macro information (vehicle information) obtained from a sensor installed on an actual road to realize an actual traffic condition on a traffic simulator at a processing speed near real time. (1) Providing traffic congestion information or travel time information to drivers (2) Studying how to deal with accidents / disasters requiring emergency processing (3) Precise signal control reflecting traffic conditions (4) Other road networks TECHNICAL FIELD The present invention relates to a traffic simulation system for performing high-precision / high-performance information processing such as tools for designing / planning a vehicle.

[0002]

2. Description of the Related Art Traffic congestion and traffic accidents have long been a social problem, and various traffic simulators have been developed to predict the effects of road width enlargement and the effects of signal control and the like for eliminating traffic congestion. It is used as a tool for verification. Recently, information collection devices such as sensors have been installed on actual roads, and macro information such as the number of vehicles passing through arbitrary cylinders and the average vehicle speed has been collected at regular time intervals to consider traffic conditions. Signal control and the like are also being performed.

[0003] However, using only the macro information obtained from the sensor, the processing speed is close to real time,
Few systems exist on the simulator to achieve the same traffic conditions as real roads.

In the traffic simulation system disclosed in Japanese Patent Application Laid-Open No. 5-250594, the amount of generated traffic is obtained in advance using regional characteristics and time characteristics as parameters, and actual measured values obtained from sensors are used. It is a macro simulation that adjusts the traffic volume and emphasizes only the traffic flow.

[0005] As prior art related to the present invention, Japanese Patent Application Laid-Open Nos. Hei 7-129882 and Hei 8-194 are known.
882 and JP-A-6-259407.

[0006]

The conventional traffic simulation system is configured as described above.
In macro-level simulations that focus only on traffic volume, natural acceleration / deceleration processing of individual vehicles and running processing that takes into account the distance from the preceding vehicle cannot be performed, so that actual road (traffic) conditions should be reflected. However, there is a problem that it is impossible to perform a simulation.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-described problems, and uses a macro information obtained at regular time intervals from a sensor installed on an actual road to achieve a real-time processing speed. An object of the present invention is to obtain a traffic simulation system capable of realizing a situation closer to an actual road condition on a simulator.

[0008]

SUMMARY OF THE INVENTION A traffic simulation system according to the present invention is provided in a traffic simulator of a micro model in which each vehicle judges a surrounding traffic condition and performs an acceleration / deceleration process. Vehicle information passing through the sensing range of several sensors installed on the road is input in real time, and the traffic simulator adjusts the parameters of the vehicle following equation to obtain a simulation result that matches the vehicle information. Things.

[0009] A traffic simulation system according to the present invention includes a vehicle inflow portion and a vehicle outflow portion on a single road.
Or, if the sensor is installed only in the vehicle outflow part, when a deviation exceeding the allowable range occurs between the simulation result and the vehicle information from the sensor, the past vehicle information obtained from the sensor is used. The parameters of the optimal vehicle following equation on the road are calculated by a predetermined time period to obtain the next vehicle information, and are applied to the subsequent simulation of the road.

[0010] In the traffic simulation system according to the present invention, different vehicle following equation parameters are assigned to each vehicle, and a deviation exceeding a permissible range occurs between the simulation result and vehicle information from a sensor installed on the road. At the time of, using the past vehicle information obtained from the sensor, calculate the optimal vehicle following equation parameters for each vehicle by a certain time period to obtain the next vehicle information, and then simulate the road Is applied.

In the traffic simulation system according to the present invention, when a set of parameters of a vehicle following equation is assigned to one road, two or more patterns having different parameters are calculated in parallel, and the simulation results and When a deviation exceeding a fraud range occurs between the vehicle information from a sensor installed on the road and the vehicle information, a simulation result selects the pattern closest to the vehicle information obtained from the sensor.

In the traffic simulation system according to the present invention, when different parameters of the vehicle following equation are assigned to each vehicle on a single road, two or more patterns having different parameters of the vehicle following equation are used in parallel for each vehicle. When a deviation exceeding a permissible range occurs between the simulation result and the vehicle information from the sensor installed on the road, the simulation result becomes closest to the vehicle information obtained from the sensor. A combination of parameters for each vehicle is selected.

[0013] The traffic simulation system according to the present invention, when a deviation between the simulation result and vehicle information from a sensor installed on the road exceeds an allowable range, uses a parameter obtained at that time as a reference. Then, a more optimal parameter is calculated and applied to the subsequent simulation.

According to the traffic simulation system of the present invention, when a deviation between a simulation result and vehicle information from a sensor installed on a road exceeds an allowable range, a combination of parameters obtained at that time is used. Based on the above, a more optimal combination of parameters is calculated and applied to subsequent simulations.

[0015] In the traffic simulation system according to the present invention, when three or more sensors are present on one road, a partial single path is provided between the detectors, and the partial single path is used as a unit. Any one of items 1 to 7
The processing described in the section is performed.

The traffic simulation system according to the present invention does not match the simulation of the partial single road with the vehicle information from the sensor present at the vehicle inflow portion of each partial single road, but instead converts the vehicle inflow portion into the vehicle inflow portion. The simulation effect of the previous partial single road as the outflow portion is used as information on vehicle inflow into the partial single road.

[0017] The traffic simulation system according to the present invention is based on vehicle information obtained at predetermined time intervals from a sensor installed at a vehicle inflow portion of one road based on vehicle inflow within the predetermined time period. The distribution is adjusted so as to be consistent with the vehicle information from the sensor installed at the vehicle outflow portion of the road.

In the traffic simulation system according to the present invention, parameters reflecting regional characteristics and time / time characteristics are set in advance on one road or a partial single road, and a simulation result and a signal from a sensor are set. The method according to any one of claims 1 to 10, wherein the parameter is used when a deviation from the vehicle information exceeds an allowable range.

In the traffic simulation system according to the present invention, when the target road is a network-like road network, the traffic simulation system according to any one of claims 1 to 11 may be provided for one road or a partial single road. The processing described in item 1 is performed.

In the traffic simulation system according to the present invention, when the target road is a network-like road network, two or more patterns based on the right / left turn rate are simulated in parallel at each intersection. When the deviation between the simulation result and the vehicle information from the sensor exceeds the allowable range, the pattern that is most consistent with the information obtained from the sensor installed near the intersection is adopted. Things.

In the traffic simulation system according to the present invention, when a target road is a network-like road network, at least two types of right / left turn rates are simulated in parallel at each intersection, and the simulation result and the sensor are used. When the deviation from the vehicle information from the vehicle exceeds an allowable range, the right / left turn rate most consistent with the vehicle information obtained from the sensor installed near the intersection is adopted. .

The traffic simulation system according to the present invention simulates in parallel two or more types of right / left turn patterns based on the probability of the right / left turn rate,
When a deviation exceeding a permissible range occurs between the simulation result and the vehicle information from the sensor, the right / left turn rate that is most consistent with the vehicle information obtained from the sensor installed near the intersection is determined. To adopt.

[0023]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below. Embodiment 1 FIG. FIG. 1 shows a basic configuration diagram of the present invention. In FIG. 1, reference numeral 1 denotes one target actual road (single road), 2 denotes a sensor installed on a road at an outflow portion of a vehicle, and 3 denotes a vehicle. Detector installed on the road at the inflow section, 4,
5 and 6 are vehicles traveling on the road, 7 is a traffic simulator, 8 is a road corresponding to the real road 1 displayed on the screen of the traffic simulator 7, and 9, 10, and 11 are vehicles displayed on the road 8. It is.

Next, the operation will be described. From the sensors 2 and 3, for example, macro information (vehicle information) such as "number of vehicles" and "average vehicle speed" of vehicles that have passed the sensing range of each sensor at a fixed time period of 5 minutes each.
The macro information 12 and 13 are input to the traffic simulator 7 in real time.

The traffic simulator 7 displays the same image as the real road 1, that is, the road 8, on the display unit based on the macro information input at the constant time period.
In order to obtain consistency with the macro information, the traffic condition of the surroundings of each vehicle is determined, and the parameters of the vehicle following equation are adjusted by the micro model traffic simulator 7 which performs acceleration / deceleration processing.

FIG. 2 is a diagram showing the vehicle following equation, where t is time, Δt is a time step, X is the position coordinates of the vehicle, S is the own vehicle, and f is the preceding vehicle. 21 is the acceleration / deceleration of the own vehicle, 22 is a constant c, 24 is a constant m, 23 is the speed difference between the own vehicle and the preceding vehicle, and 25 is the distance between the own vehicle and the preceding vehicle. The parameters to be adjusted here are constant c and constant m
It is. The constant c is a parameter for increasing the acceleration of the vehicle. Therefore, if the constant c is increased, the overall average speed can be increased. The constant m is a parameter for indicating the speed at which the behavior between vehicles is transmitted. The transmission speed increases as the constant m decreases, and decreases as the constant m increases. Therefore, when the value of the constant m is reduced, the traffic tends to be eliminated, and when the constant m is increased, the traffic tends to be advanced. As a result, it is possible to change the congestion degree and speed of the vehicles 9, 10, and 11 on the road 8 displayed on the display unit of the traffic simulator 7.

In the traffic simulator 7, as shown in FIG. 3, all the vehicles 9, 1 existing on the road 8 are
In the case where consistency is obtained by using the constants c and m as the same parameter values at 0 and 11, and as shown in FIG. 4, different parameter values are set for the vehicles 9, 10 and 11 existing on the road 8. Either the case where the constants c and m are assigned to maintain consistency.

Macro information 12 and 13 from sensors 2 and 3
If the deviation from the simulation value by the traffic simulator 7 exceeds the allowable range, the constants c and m are set as the optimal parameters within the allowable range within 5 minutes until the next macro information comes. Is searched or calculated with reference to past macro information and the like, and this parameter is adopted again until the value exceeds the allowable range.

The micro model traffic simulator belongs to the field called "complex system", and each vehicle moves with its own individuality. Therefore, once the simulation starts, what kind of behavior the whole system shows Unpredictable. Since it is very difficult to fuse the simulation result with the macro information obtained from the sensor in this way, the simulation result closest to the macro information is determined as the optimal solution. Therefore, by referring to a past database or the like, an appropriate solution (combination of parameters) is extracted by adopting a combination of parameters closest to the required macro information at that time.

Here, the allowable range differs depending on what application is targeted. In other words, the allowable range is narrow in a case where high fidelity is required, and the range is wide in an application in which a certain degree of matching is required. Therefore, in applications requiring high accuracy, the matching process is required every five minutes, which is a fixed time period.

FIG. 3 shows a case where constants c and m are applied to the parameters of the vehicle following equation to all vehicles 9, 10, and 11 existing on the road 8 displayed on the traffic simulator 7, for example, (1 ) (Constant c, constant m) =
(1, 5) pattern 14, (2) (constant c, constant m)
= (2, 2) pattern 15 and (3) (constant c, constant m) = (3, 1) pattern 16 calculation (simulation) when three types of parameter sets are applied in parallel In addition, when the simulation result adopting the above parameter (2) is most suitable for the vehicle information obtained from the sensors 2 and 3 at an arbitrary time,
The parameter of (2) is adopted. Here, instead of adopting the optimum parameters at regular time intervals, the optimum parameters at that time may be adopted only when the value exceeds the allowable range.

FIG. 4 shows a combination pattern 17 in which the constants c and m, which are the parameters of the vehicle following equation, differ for every vehicle 9, 10, 11 present on the road 8 displayed on the traffic simulator 7. , 18, and 19 are calculated (simulated) in parallel, and the optimum pattern is adopted for the vehicle information obtained from the sensors 2 and 3 at an arbitrary time. Here, instead of using an optimal combination of one pattern parameter every fixed time period, the optimum pattern at that time may be used only when the parameter exceeds the allowable range.

If the pattern 18 shown in FIG. 4 has the highest consistency with the vehicle information from the sensors 2 and 3 at that time, the pattern 1 is not changed until the next fixed time period.
Based on the eight parameter sets, for example, changing the parameters of the vehicle 9, that is, the constants c and m from (3, 6) to (3, 5), and searching for a more suitable parameter set. It is.

Further, the calculation (simulation) is performed in parallel with the above.
In this case, since the calculation can be performed independently in each unit, it is efficient to perform the calculation by the multiple processors in a parallel / distributed environment. Here, the parallel / distributed environment is a constant c, which is a parameter of the vehicle following equation,
When a process of finding an optimal solution from many parameter groups such as a constant m and a vehicle inflow distribution is performed, a parameter survey is performed by sharing a parameter space among a plurality of processors. Also, when performing large-scale simulations,
Divide the simulation area into the number of processors,
Perform parallel processing.

As described above, according to the first embodiment, since each vehicle adopts a micro-model simulator for judging the surrounding traffic conditions and performing acceleration / deceleration processing, natural movements close to actual ones are realized. It is possible to simulate individual vehicles on a simulator so that In the micro-model traffic simulator,
The simulation can be corrected by adjusting the parameters of the vehicle following equation used to reflect the macro information obtained from the sensors installed on the actual road.

Embodiment 2 FIG. 5 is a block diagram showing a traffic simulation system according to a second embodiment of the present invention, in which a sensor is further sensed between sensors 2 and 3 installed at a vehicle inflow portion and a vehicle outflow portion on a target real road 1. Vessel 2
6, 27 are installed. As described above, when there are a total of three or more sensors, the sensors are divided into partial single paths such as section I, section II, and section III, and the implementation is performed for each section in the traffic simulator 7. By applying the form 1, a simulation on one real road 1 is finally realized. At this time, each section can be independently calculated by a plurality of processors using a parallel / distributed environment. Reference numerals 31 and 32 denote macro information of the sensors 26 and 27, and reference numerals 28, 29 and 30 denote sections I, II, and II.
I is a simulation result.

In the section II of FIG. 5, when the above-mentioned matching process is performed, the simulation result 30 of the section III is used for the inflow portion of the vehicle in the section II instead of using the macro information 31 from the sensor 26. . In this case, the simulation result 30 and the sensor 26
Although the deviation from the macro information 31 may be large, the flow of the vehicle near the boundary between the section II and the section III can be realized in a form close to nature.

As described above, according to the second embodiment, the actual road 1 is divided into partial unit roads, and the individual roads are independently subjected to the alignment processing, whereby the alignment processing can be performed at a high speed. Further, it is possible to smoothly simulate the flow of the vehicle passing between the single roads.

Embodiment 3 In the first and second embodiments, the macros obtained from the sensors 1 and 2 and the sensors 26 and 27 at regular time intervals by adjusting the constants c and m which are the parameters of the vehicle following equation. The case where consistency with the information 12, 13 and the macro information 31, 32 has been described. In the third embodiment, as shown in FIG. On the basis of the information 12, a plurality of patterns 33a to 33c are prepared, the vehicle inflow distribution 33 within each fixed time period is changed, and the traffic condition on the real road 1 is changed.

By utilizing the above properties, the vehicle inflow distribution 33 within a predetermined time period in the vehicle inflow portion of the road 8 displayed on the traffic simulator 7 is adjusted on the basis of the macro information 12 to obtain a real road. The simulation result can be matched with the macro information 13 from the sensor 3 which is the outflow portion of the vehicle.

From the sensor, for example, 10:00 to 10:05
When information indicating that 100 vehicles have passed the sensor installation point during the five minutes of 10:00, it is 10:00 to 10:01.
100 vehicles during the period and 0 vehicles between 10:01 and 10:05, or 50 vehicles between 10:01 and 10:04 and 10: 04-10 : I don't know if 50 cars passed during 05. The vehicle inflow distribution 33 indicates what distribution the vehicle has passed during the five minutes. Therefore, by adjusting the vehicle inflow distribution 33, the simulation result is merged with the information from the sensor. The adjustment of the vehicle inflow distribution 33 may be manually adjusted by a user or may be automatically adjusted.

Here, the vehicle inflow distributions 33 of the various patterns 33a to 33c are calculated in parallel, and the optimum one is adopted for each of the predetermined time periods. It is conceivable to apply the optimum vehicle inflow distribution 33 when the above-mentioned allowable range is exceeded. At this time, using a parallel / distributed environment,
The various patterns of vehicle inflow distribution 33 can be independently calculated by a plurality of processors.

As described above, according to the third embodiment, it is possible to improve the accuracy of the matching process and to realize a situation in which vehicles enter the real road 1 in a group by a signal or the like.

Embodiment 4 FIG. FIG. 7 is a configuration diagram showing a traffic simulation system according to a fourth embodiment of the present invention. The database 34 relating to constants c and m as parameters of a vehicle following equation reflecting past regional characteristics and time / time characteristics is stored. Prepared in advance and based on the database 34, for example, in the section I at an arbitrary time on the real road 1, the parameters of the vehicle following equation are constants c and m =
(1, 5), constants c and m = (1, 3) in section II, constants c and m = (2, 1) in section III, and these parameters are set as base values. In addition, the matching process can be performed at regular time intervals or when the value exceeds the allowable range. 35-37 are section I, section I
It is a simulation result of I and the section III.

It is also conceivable that the parameter values newly obtained here are stored in the database 34 again, and used for the next and subsequent times. Further, such a method of utilizing the regional characteristics and the time / time characteristics can be applied to the first to third embodiments.

As described above, according to the fourth embodiment, the matching process can be performed at high speed by considering a solution that can be predicted to some extent based on past information in advance.

Embodiment 5 FIG. 8 is a configuration diagram showing a traffic simulation system according to a fifth embodiment of the present invention, which is a network-like road network 8 having a plurality of single roads.
Also in the first embodiment, the first to fourth embodiments are applied on a single-path basis or on a section basis. Here, regarding the right / left turn at the intersection, the parameter of the right / left turn rate is used, and for example, the probability of the vehicle going straight 84 is set to 65%, the probability of turning right 83 is set to 20%, and the probability of turning left 85 is set to 15%. In advance, a simulation is performed so as to perform a right / left turn or straight ahead process with the probability. As an easily conceivable method, there is a method of rolling a dice and deciding a right or left turn so as to achieve the above probability.

The database 34 of the right / left turn ratio reflecting the regional characteristics and the time / time characteristics is prepared in advance, and is applied as appropriate.

For example, at the intersection 86 on the real road 1 in FIG. 8, the probability that the vehicle 82 goes straight 84 is 6
If the probability of 5%, the right turn 83 is 20%, and the left turn 85 is 15%, several patterns are calculated (simulated) in parallel based on these values.
An optimum pattern is adopted at every fixed time period or when a deviation exceeding the allowable range occurs.

At the intersection 86 in FIG.
2, the straight turn rate, the right turn rate, and the left turn rate are, for example, (1) (25
%, 50%, 25%), (2) (35%, 40%, 25%)
%), (3) (15%, 55%, 30%) such as three patterns were calculated (simulated) in parallel, and a deviation occurred at the above-mentioned fixed time period or beyond the above-mentioned permissible range. Sometimes the best pattern is adopted.

Further, for example, the patterns (1) to (3)
In each of the above, several patterns are calculated (simulated) in parallel on the basis of the respective probability values, and the optimum pattern is determined at the above-mentioned fixed time period or when a deviation exceeding the above-mentioned allowable range occurs. adopt.

The newly adopted right / left turn ratio is stored in the database 34 for future use.

Especially when handling such a network-like road network 81, a large calculation power is required.
It is very efficient to distribute processing to a plurality of processors for each single path or for each section using a parallel / distributed environment and perform parallel / distributed processing.

[0054]

As described above, according to the present invention, a simulation result is obtained in which each vehicle uses a micro-model simulator that travels while judging the surrounding traffic conditions and matches the macro information from the sensor. As a result, a simulation closer to the traffic condition of the target road can be realized. For this reason, the present traffic condition can be grasped and the future traffic condition can be predicted with higher accuracy, so that a very large effect can be exerted also in the following applications. (1) Providing traffic congestion information or travel time information to drivers (2) Studying how to deal with accidents / disasters requiring emergency processing (3) Precise signal control reflecting traffic conditions (4) Other road networks Tools for designing / planning

Further, since the system is configured to use the vehicle following equation, it is possible to match the vehicle information from the sensor installed on the actual road with a relatively small amount of calculation. There is an effect that a large-scale problem can be targeted.

According to the present invention, when a deviation exceeding the fraud range occurs between the simulation result and the vehicle information from the sensor installed on the road, the past vehicle information obtained from the sensor is used. Since the parameters of the optimal vehicle following equation on the road are calculated by the next time period and applied to the subsequent simulation of the road, the effect of enabling highly accurate matching processing is obtained. .

According to the present invention, since a set of parameters is assigned to each vehicle without assigning a set of parameters to each road, the amount of calculation is increased, but the matching processing can be performed with higher accuracy. is there.

According to the present invention, since two or more different patterns are calculated in parallel, there is an effect that high-speed matching processing can be performed.

According to the present invention, different parameters are assigned to each vehicle, and when a deviation between the simulation result and the vehicle information from the sensor installed on the road exceeds an allowable range, the simulation result is detected. Since the configuration is such that a combination of parameters for each vehicle that is closest to the vehicle information obtained from the container is selected, there is an effect that the matching process can be realized at high speed.

According to the present invention, when a deviation between the simulation result and the vehicle information from the sensor exceeds an allowable range, a more optimal parameter is calculated based on the parameter obtained at that time. However, since it is configured to be applied to subsequent simulations, in the case of performing real-time processing, due to processing time constraints, calculation to find a more accurate solution at a certain level must be discontinued, If the next matching calculation is performed based on the solution obtained at that time, there is an effect that the optimum solution can be found faster.

According to the present invention, when a deviation between the simulation result and the vehicle information from the sensor exceeds an allowable range, a more optimal parameter is determined based on a combination of parameters obtained at that time. Is calculated and applied to the subsequent simulations, so that there is an effect that the matching process can be realized at high speed.

According to the present invention, when three or more sensors are present on a single road, a configuration is adopted in which a partial single path is provided between the sensors and the matching process is performed in units of the partial single paths. Therefore, there is an effect that the matching process can be realized at high speed.

According to the present invention, since the simulation effect of the previous partial single road with the vehicle inflow portion as the vehicle outflow portion is used as information on vehicle inflow into the partial single road, the simulation is performed between the single roads. This has the effect that the flow of a vehicle passing between single roads can be smoothly simulated as compared with the case where the matching calculation is performed independently.

According to the present invention, the vehicle inflow distribution within the predetermined time period is adjusted based on the vehicle information obtained at predetermined time periods from the sensor, and the sensor installed at the vehicle outflow portion of the road is controlled. It is configured to take consistency with the vehicle information from the container, so that the accuracy of the matching process is improved,
There is an effect that it is possible to realize a situation where vehicles enter a single road collectively by a signal or the like.

According to the present invention, since the parameters reflecting the regional characteristics and the time / time characteristics are set in advance, a solution which can be predicted to some extent based on past information is considered. Thus, there is an effect that the matching process can be realized at high speed.

According to the present invention, when the matching process is performed on a complicated road network, the problem is simplified and the matching process can be realized at a high speed. effective.

According to the present invention, one left / right turn ratio, which is known to some extent, is determined from past information, and a plurality of patterns are calculated in parallel based on the determined value. There is an effect that the matching process can be realized at high speed.

According to the present invention, the number of right / left turn rates is selected with reference to the past information, and each is calculated in parallel. Therefore, when performing the matching process, the matching speed is high. There is an effect that the processing can be realized.

According to the present invention, several right / left turn patterns are simulated in parallel, and a pattern that is most consistent with vehicle information obtained from a sensor installed near the intersection is adopted. Because it was configured as
There is an effect that the optimum value can be detected at high speed.

[Brief description of the drawings]

FIG. 1 is a configuration diagram showing a traffic simulation system according to a first embodiment of the present invention.

FIG. 2 is a diagram showing a vehicle following equation.

FIG. 3 is a configuration diagram showing another traffic simulation system according to the first embodiment of the present invention.

FIG. 4 is a configuration diagram showing still another traffic simulation system according to the first embodiment of the present invention;

FIG. 5 is a configuration diagram showing a traffic simulation system according to a second embodiment of the present invention.

FIG. 6 is a configuration diagram illustrating a traffic simulation system according to a third embodiment of the present invention.

FIG. 7 is a configuration diagram showing a traffic simulation system according to a fourth embodiment of the present invention.

FIG. 8 is a configuration diagram showing a traffic simulation system according to a fifth embodiment of the present invention.

[Explanation of symbols]

1 real road (single road), 2, 3, 26, 27 detectors, 7
Traffic simulator, 14-19 different patterns of parameters, 12, 13, 31, 32 macro information (vehicle information), 33 vehicle inflow distribution, 81 network road network, 83 right turn, 85 left turn.

Claims (15)

[Claims] 1. A micro-model traffic simulator in which individual vehicles judge surrounding traffic conditions and perform acceleration / deceleration processing.
At regular time intervals, the vehicle information passing through the sensing range of several sensors installed on the actual road is input in real time, and the vehicle information is adjusted by adjusting the parameters of the vehicle following equation used in the traffic simulator. A traffic simulation system characterized by obtaining simulation results that are consistent with the traffic simulation. 2. When a sensor is installed only at a vehicle inflow portion and a vehicle outflow portion of a single road, or only at a vehicle outflow portion, an allowable range is set between a simulation result and vehicle information from the sensor. When a deviation exceeding occurs, using the past vehicle information obtained from the sensor, a parameter of an optimal vehicle following equation on the road is calculated by a certain time period to obtain the next vehicle information, and The traffic simulation system according to claim 1, wherein the traffic simulation system is applied to a road simulation. 3. A different vehicle following equation parameter is assigned to each vehicle, and when a deviation between a simulation result and vehicle information from a sensor installed on the road exceeds an allowable range, the parameter is obtained from the sensor. By using the past vehicle information obtained, a parameter of an optimal vehicle following equation for each vehicle is calculated by a certain time period for obtaining the next vehicle information, and the calculated parameter is applied to the subsequent road simulation. The traffic simulation system according to claim 1. 4. When allocating a set of parameters of a vehicle following equation to one road, two or more patterns having different parameters are calculated in parallel, and a simulation result and a sensor installed on the road are calculated. 2. The traffic simulation system according to claim 1, wherein when a deviation exceeding a fraud range occurs with the vehicle information, the pattern whose simulation result is closest to the vehicle information obtained from the sensor is selected. . 5. When different parameters of a vehicle following equation are assigned to each vehicle on a single road, two or more different patterns of parameters of the vehicle following equation are calculated in parallel for each vehicle, and simulation results are obtained. When a deviation exceeding an allowable range occurs between the vehicle information from the sensor installed on the road and the vehicle information obtained from the sensor, a simulation result is obtained by combining a parameter of each vehicle that is closest to the vehicle information obtained from the sensor. The traffic simulation system according to claim 1, wherein the traffic simulation system is selected. 6. When a deviation exceeding a permissible range occurs between a simulation result and vehicle information from a sensor installed on a road, a parameter which is more optimal is determined based on a parameter obtained at that time. The traffic simulation system according to claim 4, wherein the traffic simulation system calculates and applies the calculated simulation to a subsequent simulation. 7. When a deviation between a simulation result and vehicle information from a sensor installed on a road exceeds an allowable range, the deviation is more optimal based on a combination of parameters obtained at that time. The traffic simulation system according to claim 5, wherein a combination of parameters is calculated and applied to a subsequent simulation. 8. When there are three or more detectors on one road, a partial single path is provided between the detectors, and the partial single path is used as a unit. A traffic simulation system which performs the processing according to any one of the above. 9. Instead of matching the simulation of the partial single road with the vehicle information from the sensor existing at the vehicle inflow portion of each partial single road, the vehicle inflow portion is set immediately before the vehicle inflow portion as the vehicle outflow portion. 9. The traffic simulation system according to claim 8, wherein the simulation effect of the partial single road is used as information on vehicle inflow into the partial single road. 10. The method according to claim 1, further comprising: adjusting a vehicle inflow distribution within the predetermined time period based on vehicle information obtained at predetermined time periods from a sensor installed at a vehicle inflow portion of one road. 2. A traffic simulation system according to claim 1, wherein the traffic simulation system obtains consistency with vehicle information from a sensor installed at a vehicle outflow portion. 11. On a single road or partial single road,
A parameter which reflects a regional characteristic or a time / time characteristic is set in advance, and when a deviation between a simulation result and vehicle information from a sensor exceeds an allowable range, the parameter is used by using the parameter. A traffic simulation system that performs the processing according to any one of claims 1 to 10. 12. When the target road is a network-like road network, the processing according to any one of claims 1 to 11 is performed in units of one road or partial single road. Traffic simulation system characterized by the following. 13. When the target road is a network-like road network, two or more patterns based on the right / left turn rate are simulated in parallel at each intersection, and the simulation result and the signal from the sensor are used. When the deviation from the vehicle information exceeds the allowable range,
The traffic simulation system according to claim 1, wherein the pattern that is most consistent with information obtained from the sensors installed near an intersection is adopted. 14. When the target road is a network-like road network, the turn ratio at each intersection is set to 2
Simulate in parallel as described above, and when a deviation between the simulation result and the vehicle information from the sensor exceeds an allowable range, the vehicle information obtained from the sensor installed near the intersection and the most The traffic simulation system according to claim 1, wherein the right / left turn ratio with consistency is adopted. 15. Simultaneously simulating two or more types of right / left turn patterns based on the probability of a right / left turn rate, and a deviation exceeding a permissible range between a simulation result and vehicle information from a sensor. 2. The traffic simulation system according to claim 1, wherein when the occurrence of the turn occurs, the right / left turn rate most consistent with vehicle information obtained from the sensor installed near the intersection is adopted.