CN104866925A - Train timetable optimization method based on ATS adjusting function - Google Patents
Train timetable optimization method based on ATS adjusting function Download PDFInfo
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Abstract
The invention relates to a train timetable optimization method based on an ATS adjusting function. The method comprises the steps that step S1: train operation influence factors are acquired, including basic facility data and transport organization modes; step S2, a train plan timetable is optimized on the basis of the train operation influence factors of step S1 so that an optimized train timetable is obtained; step S3: the optimized train timetable of the step S2 is inputted to a simulation platform so that an optimized train operation graph is obtained; and step S4: the optimized train operation graph of the step S3 is simulated and verified by a simulator. Compared with methods in the prior art, optimization can be performed by aiming at a demonstration route, and popularization and implementation are also easy so that comprehensive energy saving and consumption reduction can be realized, and finally an operation intelligent optimization management objective can be realized.
Description
Technical field
The present invention relates to a kind of urban railway transit train to control, especially relate to a kind of time-table optimization method based on ATS adjustment function.
Background technology
During subway train traction, energy resource consumption absolute magnitude is huge, and be the main object that subway is saved energy and reduce the cost, this method, while guaranteeing operation security, deep-cuts energy-saving potential, proposes energy-saving scheme, strives for the environmental objective of " energy-saving and emission-reduction ".Research ATS (Automatic Train Supervision, train automatic monitoring) adjusts function, and science energy-saving adjusting operates, and reduces rail vehicle transportation total cost.In rail vehicle transportation organizational process, the most namely embodiment is the maneuvering and control pattern of train.In addition, the ATS grade proposal etc. that technical speed, the train scheme that stops, load factor and the train in the line of the setting of signal ATC control system set in operation all directly can have influence on the energy consumption of train operation.Based on road-net database, reasonable operation ATS adjusts function, the Braess providing decision support famous for track traffic supvr is strange to be shown: be not that circuit that is newly-built or reconstruction is more, the degree of crowding on network is lower, the situation that the traffic that likely there will be whole system worsens more, therefore depth analysis signal ATC controls, volume of the flow of passengers information, the systems such as large passenger flow induction, more reasonably to guide and to control passenger's trip, effectively alleviate passenger flow degree of crowding peak period morning and evening, track traffic supvr is helped to determine responsive station and transfer node, optimizing operation figure and facility configuration, to strengthen the ability that various risk resisted by subway, increase the public safety of passenger's trip.
Summary of the invention
Object of the present invention be exactly in order to overcome above-mentioned prior art exist defect and a kind of time-table optimization method based on ATS adjustment function is provided, not only can be optimized for demonstration circuit, and be easy to promotion and implementation, realize synthesis energy saving consumption reduction, final realization runs intelligent optimization management objectives.
Object of the present invention can be achieved through the following technical solutions:
A kind of time-table optimization method based on ATS adjustment function comprises:
Step S1: the factor to affect obtaining train operation, comprises infrastructure data and transit organization pattern;
Step S2: the factor to affect based on step S1 train operation is optimized Train operation plan timetable, obtains train and optimizes timetable;
Step S3: the train of step S2 is optimized timetable input emulation platform and obtain Train Optimizing Motion figure;
Step S4: the Train Optimizing Motion figure of simulator simplation verification step S3.
Described infrastructure data comprises train data and orbital data, and described transit organization pattern comprises technical speed, the scheme that stops, load factor and ATS grade group scheme.
Described step S2 is specially:
201: obtain traffic coverage length S according to infrastructure data
1, station length S
2, launch train distance S
3, train braking distance S
4, launch train time t
1with train braking time t
2;
202: obtain the average speed limit V of train on interval according to transit organization pattern
1with train operation equivalent coefficient a;
203: obtain the section operation time of train under the Operation class two corresponding with train operation equivalent coefficient a and Operation class three by step 201 and 202, meet following formula:
Wherein, T represents train interval working time;
204: to try to achieve train interval the working time under Operation class two and Operation class three by train poor for working time;
205: by difference working time, the train arrival time in Train operation plan timetable is optimized, and train departures time-preserving, finally obtain train and optimize timetable.
The average speed limit V in whole interval is obtained after obtaining section Maximum speed limit according to train operation equivalent coefficient a in described step 202
1.
Described step S3 is specially:
301: infrastructure data is inputted emulation platform, obtain velocity and distance figure and the train energy consumption figure of train simulation, gained figure and train grapher are contrasted, the rationality of checking emulation platform acquired results;
302: if emulation platform acquired results is reasonable in step 301, infrastructure data, train are optimized timetable, transit organization pattern input emulation platform, obtain Train Schedule deviation map, optimized the rationality of timetable by deviation map checking, obtain Train Optimizing Motion figure.
Described step S4 is specially:
401: Train Optimizing Motion figure dry run on simulator, checking rationality also calculates train total energy consumption, power consumption values and Train operation plan timetable Train operation energy consumption value is contrasted, and obtains train and optimizes timetable simplation verification result, and preserve;
402: by real steering vectors record train energy consumption, obtain the actual measurement the result that timetable optimized by train, and preserve.
Compared with prior art, the present invention has the following advantages:
1) based on being optimized adjustment to Train operation plan timetable the working time under the different Operation class of train, the object that train operation is energy-conservation is played when meeting passenger demand.
2) the method reasonably guides and controls passenger's trip simultaneously, helps track traffic supvr to determine responsive station and the configuration of transfer node, optimizing operation figure and facility, to strengthen the ability that various risk resisted by subway.
3) adjust function by research ATS, science energy-saving adjusting operates, and reduces rail vehicle transportation total cost.
Accompanying drawing explanation
Fig. 1 is time-table optimisation strategy schematic diagram in the inventive method;
Fig. 2 is the schematic flow sheet of step S3 in the inventive method;
Fig. 3 sets different tractive force of train and velocity diagram according to the passenger flow situation of Different periods on emulation platform;
Wherein, (3a) is the unloaded tractive force of AW0 and velocity diagram, and (3b) is AW2 staffing load tractive force and velocity diagram, and (3c) is the overcrowding load tractive force of AW3 and velocity diagram;
Fig. 4 is the velocity and distance figure of train operation;
Fig. 5 is Train Optimizing Motion figure;
Fig. 6 is energy consumption in train journey figure.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.The present embodiment is implemented premised on technical solution of the present invention, give detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
For Shanghai Underground No. 2 lines, the time-table optimization method of the Operation class adjustment function of No. 2 line ATS systems is utilized to comprise:
Step S1: the factor to affect obtaining train operation, comprises infrastructure data and transit organization pattern.Infrastructure data is provided by MTR, comprise train data and orbital data, transit organization pattern comprises technical speed, the scheme that stops, load factor and ATS grade group scheme, wherein technical speed and stop scheme, ATS grade group scheme are provided by MTR, load factor by study MTR obtain to data and investigation and analysis.
Such as: investigation Shanghai Metro Line No. 2 passenger flow space time characteristic distributions determination operation optimization mathematical model, is divided into peak period and off-peak period to study by Train Schedule.Simultaneously, the inventive method sets up analysis and the appraisal framework of the impact of rail transit train operation energy consumption, for each influence factor that track traffic energy consumption produces, introduce gray system correlation theory, set up grey correlation Analytic Hierarchy Process Model, carry out computational analysis, obtain the degree of association of each influence factor, for urban track traffic operation provides the theories integration of power-save operation.
ATS grade group scheme divides train operation grade, comprising:
1) Operation class one
ATS speed limit equals the maximum maximum speed limit of train, and when train accelerates, order is 1 (m/s
2).
2) Operation class two
ATS speed limit equals 90% (ATO rate curve) of the maximum maximum speed limit of train, and when train accelerates, order is 1 (m/s
2).
3) Operation class three
ATP speed limit equals 80% (ATO rate curve) of the maximum maximum speed limit of train, and when train accelerates, order is 1 (m/s
2).
4) Operation class four
ATP speed limit equals 70% (ATO rate curve) of the maximum maximum speed limit of train, and when train accelerates, order is 0.75 (m/s
2).
Step S2: with Optimum Theory and method for instructing, the impact of partial element tracking road traffic energy consumption in train journey in analysis foundation facility (train attribute and line condition) and transit organization pattern (technical speed, the scheme that stops, load factor, ATS scheme).Theoretical analysis and conditions correlation measuring and calculating is carried out for each single factors, analysis result thus draw each factor impact effect in train travelling process, carry out reasonably hypothesis and simplification, determine optimization aim and the constraint condition of time-table, set up mathematical programming model and the algorithm of proposition optimization train dwelling time.Namely the factor to affect based on step S1 train operation is optimized Train operation plan timetable, obtains train and optimizes timetable.As shown in Figure 1, be specially:
201: obtain traffic coverage length S according to infrastructure data
1, station length S
2, launch train distance S
3, train braking distance S
4, launch train time t
1with train braking time t
2;
202: obtain the average speed limit V of train on interval according to transit organization pattern
1with train operation equivalent coefficient a, wherein, the average speed limit V in whole interval is obtained after using genetic algorithm to obtain section Maximum speed limit according to train operation equivalent coefficient a
1;
203: obtain the section operation time of train under the Operation class two corresponding with train operation equivalent coefficient a and Operation class three by step 201 and 202, meet following formula:
Wherein, T represents train interval working time;
204: to try to achieve mistiming between the two the working time under Operation class two and Operation class three by train, namely train interval is poor for working time;
205: by difference working time, the train arrival time in Train operation plan timetable is optimized, and train departures time-preserving, finally obtaining train optimizes timetable, and corresponding A TS optimizes and revises pattern.Train is optimized timetable to contrast with plan timetable and actual timetable, reduce error, determine Train Parameters (when idling braking time, upward slope Deferred Correction, minimum deceleration degree, maximum deceleration, resistance factor, gyrating mass coefficient).
Step S3: the train of step S2 is optimized timetable input emulation platform and obtain Train Optimizing Motion figure.As shown in Figure 2, be specially:
301: infrastructure data is inputted emulation platform, obtain velocity and distance figure and the train energy consumption figure of train simulation, gained figure and Shanghai Metro Line No. 2 train grapher are contrasted, whether can normally be run under energy-conservation timetable by contrast verification train, simultaneous verification train is optimized timetable and whether is played energy-saving effect, and Fig. 4 is the velocity and distance figure of the train operation that emulation platform exports;
302: if emulation platform acquired results is reasonable in step 301, infrastructure data, train are optimized timetable, transit organization pattern input emulation platform, obtain Train Schedule deviation map, the rationality of timetable is optimized by deviation map checking, obtain Train Optimizing Motion figure, Fig. 5 is the Train Optimizing Motion figure that emulation platform exports.
Step S4: the Train Optimizing Motion figure of simulator simplation verification step S3.Be specially:
401: Train Optimizing Motion figure dry run on simulator, checking rationality also calculates train total energy consumption, power consumption values and Train operation plan timetable Train operation energy consumption value is contrasted, and obtains train and optimizes timetable simplation verification result, and preserve, Fig. 6 is the energy consumption in train journey figure exported;
402: by real steering vectors record train energy consumption, obtain the actual measurement the result that timetable optimized by train, and preserve.
In the inventive method, energy consumption in train journey calculates and respectively based on energy consumption curve and traction acting process, can draw track traffic unit consumption model, draw the power and energy equation of train, thus draw traction energy consumption based on kinetics equation based on energy consumption curve.
Emulation platform adopts OpenTrack software simulating following functions:
1) emulate the ruuning situation of train, based on defined train infrastructure, time-table, realize the simulated scenario that definition train matches with actual motion in infrastructure.
2) by Different Exercise Mode continuous analog train operation, discrete analog signal facility information display state.Train motion mode emulates the operation of train based on the peak acceleration simulating step-length, and peak acceleration is decided by train operation mode, orbit parameter, as maximum drawbar pull, maximum resistance, track grade, orbital curve radius and track allow highest running speed of train.Train running speed is calculated by the integration again in integral equation and braking distance.Fig. 3 sets different tractive force of train and velocity diagram according to the passenger flow situation of Different periods on emulation platform.
3) signalling arrangement that train operation is arranged along the line by circuit controls.As open in: occupied track section quantity, Signal aspects switching time, train travelling process signalling arrangement state or off-period length etc.
4) in simulation process, each train all exports multiple chart data and text data to database, stores as chart and other text datas such as acceleration ~ distance, speed ~ distances in database.By this mode, different Output rusults is all saved after emulation completes.
5) simulation process realizes in back way or shows on foreground with animate.In animation display mode, user can see train travelling process, track occupation, route arranging situation, also comprises circuit signalling arrangement display along the line state.
Design train operation automatic protection method while the efficient timetable of train is optimized, comprising:
1) train can only be had at most in operation in every section;
2) when train is not allowed to enter next section, and train braking can not exceed the regional extent of its place section after stopping;
3) train operation guard system is used to control train operation ahead, rear is the coverage ensureing safety and must ensure;
4) split by teleseme between section, this teleseme can stop train operation, and when it is shown as red light, train must unconditionally stop within the scope of this section.
The application of the inventive method comprises:
1) cross investigation on emulation platform, build Shanghai Metro Line No. 2 train operation completely environment (circuit, train, electric power, signal control), emulate rail vehicle performance simultaneously.
2) read plan timetable by simulation software, draw planned train graph.
3) rate curve of train is drawn by emulation train operation situation.
4) asked the operation energy consumption calculating train by emulation, and draw the operation energy consumption curve of vehicle.
5) by setting up ATS adjustment model to the analysis of train operation level data and optimizing time-table.
6) by reducing Operation class, shortening the dwell time, peak absences energy consumption in train journey is optimized.
7) intelligent balance train energy consumption in specific passenger flow situation.
To sum up, the inventive method by software emulation, safeguard period trial run and the mode that combines of running optimizatin, for the overall aspect energy saving optimizing of circuit explores a Tiao Xin road, realizing, on energy-saving and cost-reducing basis, realizing the target of intelligent operation management further.Not only can be optimized for demonstration circuit, and progressively promotion and implementation to Shanghai Underground and national subway, can realize synthesis energy saving consumption reduction, final realization runs intelligent optimization management objectives.
Claims (6)
1. adjust a time-table optimization method for function based on ATS, it is characterized in that, comprising:
Step S1: the factor to affect obtaining train operation, comprises infrastructure data and transit organization pattern;
Step S2: the factor to affect based on step S1 train operation is optimized Train operation plan timetable, obtains train and optimizes timetable;
Step S3: the train of step S2 is optimized timetable input emulation platform and obtain Train Optimizing Motion figure;
Step S4: the Train Optimizing Motion figure of simulator simplation verification step S3.
2. a kind of time-table optimization method adjusting function based on ATS according to claim 1, it is characterized in that, described infrastructure data comprises train data and orbital data, and described transit organization pattern comprises technical speed, the scheme that stops, load factor and ATS grade group scheme.
3. a kind of time-table optimization method adjusting function based on ATS according to claim 1, it is characterized in that, described step S2 is specially:
201: obtain traffic coverage length S according to infrastructure data
1, station length S
2, launch train distance S
3, train braking distance S
4, launch train time t
1with train braking time t
2;
202: obtain the average speed limit V of train on interval according to transit organization pattern
1with train operation equivalent coefficient a;
203: obtain the section operation time of train under the Operation class two corresponding with train operation equivalent coefficient a and Operation class three by step 201 and 202, meet following formula:
Wherein, T represents train interval working time;
204: to try to achieve train interval the working time under Operation class two and Operation class three by train poor for working time;
205: by difference working time, the train arrival time in Train operation plan timetable is optimized, and train departures time-preserving, finally obtain train and optimize timetable.
4. a kind of time-table optimization method adjusting function based on ATS according to claim 3, is characterized in that, obtain the average speed limit V in whole interval in described step 202 according to train operation equivalent coefficient a after obtaining section Maximum speed limit
1.
5. a kind of time-table optimization method adjusting function based on ATS according to claim 1, it is characterized in that, described step S3 is specially:
301: infrastructure data is inputted emulation platform, obtain velocity and distance figure and the train energy consumption figure of train simulation, gained figure and train grapher are contrasted, the rationality of checking emulation platform acquired results;
302: if emulation platform acquired results is reasonable in step 301, infrastructure data, train are optimized timetable, transit organization pattern input emulation platform, obtain Train Schedule deviation map, optimized the rationality of timetable by deviation map checking, obtain Train Optimizing Motion figure.
6. a kind of time-table optimization method adjusting function based on ATS according to claim 1, it is characterized in that, described step S4 is specially:
401: Train Optimizing Motion figure dry run on simulator, checking rationality also calculates train total energy consumption, power consumption values and Train operation plan timetable Train operation energy consumption value is contrasted, and obtains train and optimizes timetable simplation verification result, and preserve;
402: by real steering vectors record train energy consumption, obtain the actual measurement the result that timetable optimized by train, and preserve.
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