Analysis of minimum train headway on a moving block system by genetic algorithm Hideo Nakamura. Nihon University, Narashinodai , Funabashi city,

Similar documents
Next-generation Inverter Technology for Environmentally Conscious Vehicles

Development of Motor-Assisted Hybrid Traction System

Improvement of Vehicle Dynamics by Right-and-Left Torque Vectoring System in Various Drivetrains x

Shortening total trip time by short station dwell time and passing local trains

Development of an energy efficient train traffic control system for saving electricity

Application of DSS to Evaluate Performance of Work Equipment of Wheel Loader with Parallel Linkage

A production train diagram of train control to save power consumption used for dynamic programming

Special edition paper

Design and Test of Transonic Compressor Rotor with Tandem Cascade

Development of Feedforward Anti-Sway Control for Highly efficient and Safety Crane Operation

Development of Integrated Vehicle Dynamics Control System S-AWC

Automatic train operation system for the high speed Shinkansen train

Influence of Ground Effect on Aerodynamic Performance of Maglev Train

A Fundamental Study Concerning the Proper Performance of Lift Buffers in Revised JIS A 4306

Pantograph and catenary system with double pantographs for high-speed trains at 350 km/h or higher

China. Keywords: Electronically controled Braking System, Proportional Relay Valve, Simulation, HIL Test

WHAT IS THE PROFIT OF DRIVING FAST? -THE COMPARISON OF THE SPEEDY DRIVING AND SAFE DRIVING IN TERMS OF TRAVELING TIME-

Reducing power peaks and energy consumption in rail transit systems by simultaneous train running time control

Numerical Study on the Flow Characteristics of a Solenoid Valve for Industrial Applications

Development of Emission Control Technology to Reduce Levels of NO x and Fuel Consumption in Marine Diesel Engines

NORDAC 2014 Topic and no NORDAC

Analysis and Correlation for Body Attachment Stiffness in BIW

Supplementary file related to the paper titled On the Design and Deployment of RFID Assisted Navigation Systems for VANET

A LES/RANS HYBRID SIMULATION OF CANOPY FLOWS

Energy Management and Hybrid Energy Storage in Metro Railcar

Development of Assist Steering Bogie System for Reducing the Lateral Force

K. Shiokawa & R. Takagi Department of Electrical Engineering, Kogakuin University, Japan. Abstract

Analysis on Steering Gain and Vehicle Handling Performance with Variable Gear-ratio Steering System(VGS)

Automatic Driving Control for Passing through Intersection by use of Feature of Electric Vehicle

Remarkable CO 2 Reduction of the Fixed Point Fishing Plug-in Hybrid Boat

TRAFFIC SAFETY OF A SLOW VEHICLE

Reduction of Oil Discharge for Rolling Piston Compressor Using CO2 Refrigerant

Development of a High Efficiency Induction Motor and the Estimation of Energy Conservation Effect

Train traffic control system on the Yamanashi Maglev test line

Current collecting characteristics of catenary with non-tension contact wires

BACHELOR THESIS Optimization of a circulating multi-car elevator system

Maximium Velocity that a Vehicle can Attain without Skidding and Toppling While Taking a turn

837. Dynamics of hybrid PM/EM electromagnetic valve in SI engines

Transmission Error in Screw Compressor Rotors

Level of Service Classification for Urban Heterogeneous Traffic: A Case Study of Kanapur Metropolis

DESIGN AND ANALYSIS OF UNDERTRAY DIFFUSER FOR A FORMULA STYLE RACECAR

[Rao, 4(7): July, 2015] ISSN: (I2OR), Publication Impact Factor: 3.785

COMPUTER BASED COMPARISON OF TRAIN PERFORMANCE BEHAVIOUR ON A CERTAİN ROUTE

6. Acoustical simulation of straight and side inlet/outlet rectangular plenums using the FEM method

Vehicle Dynamics and Drive Control for Adaptive Cruise Vehicles

Original. M. Pang-Ngam 1, N. Soponpongpipat 1. Keywords: Optimum pipe diameter, Total cost, Engineering economic

Maximum Superelevation: Desirable, Allowable, and Absolute

Vehicle Dynamic Simulation Using A Non-Linear Finite Element Simulation Program (LS-DYNA)

Train Group Control for Energy-Saving DC-Electric Railway Operation

COMPRESSIBLE FLOW ANALYSIS IN A CLUTCH PISTON CHAMBER

Kazuaki Sakai, Toshihiko Yasuda, and Katsuyuki Tanaka, Member, IEEE

Aerodynamic Investigation of Cable-stayed Bridge with 2-edge Girder

Planetary Roller Type Traction Drive Unit for Printing Machine

Efficiency of Semi-Autonomous Platooning Vehicles in High-Capacity Bus Services

EFFECT OF SURFACE ROUGHNESS ON PERFORMANCE OF WIND TURBINE

Abstract. 1 Introduction

Development of Rattle Noise Analysis Technology for Column Type Electric Power Steering Systems

PUBLICATION NEW TRENDS IN ELEVATORING SOLUTIONS FOR MEDIUM TO MEDIUM-HIGH BUILDINGS TO IMPROVE FLEXIBILITY

D. Hasegawa, G. L. Nicholson, C. Roberts & F. Schmid Birmingham Centre for Railway Research and Education, University of Birmingham, UK.

NUMERICAL ANALYSIS OF IMPACT BETWEEN SHUNTING LOCOMOTIVE AND SELECTED ROAD VEHICLE

Extracting Tire Model Parameters From Test Data

Study of the Performance of a Driver-vehicle System for Changing the Steering Characteristics of a Vehicle

Numerical Optimization of HC Supply for HC-DeNOx System (2) Optimization of HC Supply Control

Research in hydraulic brake components and operational factors influencing the hysteresis losses

Braking Performance Improvement Method for V2V Communication-Based Autonomous Emergency Braking at Intersections

Fuzzy based Adaptive Control of Antilock Braking System

Towards investigating vehicular delay reductions at signalised intersections with the SPA System

Examining the load peaks in high-speed railway transport

The evaluation of endurance running tests of the fuel cells and battery hybrid test railway train

POWER DISTRIBUTION SYSTEM ANALYSIS OF URBAN ELECTRIFIED RAILWAYS

Multi Body Dynamic Analysis of Slider Crank Mechanism to Study the effect of Cylinder Offset

AN ANALYSIS OF DRIVER S BEHAVIOR AT MERGING SECTION ON TOKYO METOPOLITAN EXPRESSWAY WITH THE VIEWPOINT OF MIXTURE AHS SYSTEM

Aerodynamic Characteristics of Sedan with the Rolling Road Ground Effect Simulation System

Improvements of Existing Overhead Lines for 180km/h operation of the Tilting Train

Millgrove Evacuation Study

Development of High Performance 3D Scroll Compressor

Friction Characteristics Analysis for Clamping Force Setup in Metal V-belt Type CVTs

A Cost Benefit Analysis of Faster Transmission System Protection Schemes and Ground Grid Design

Research on Skid Control of Small Electric Vehicle (Effect of Velocity Prediction by Observer System)

Development of Low-thrust Thruster with World's Highest Performance Contributing to Life Extension of Artificial Satellites

Special edition paper Development of an NE train

Energy Management for Regenerative Brakes on a DC Feeding System

Performance study of combined test rig for metro train traction

An Evaluation of Active Knee Bolsters

Comparison Between Different Arrangements of Bypass Valves in Scroll Compressors

STUDY ON COMPACT HEAT EXCHANGER FOR VEHICULAR GAS TURBINE ENGINE

Featured Articles Utilization of AI in the Railway Sector Case Study of Energy Efficiency in Railway Operations

Prediction Model of Driving Behavior Based on Traffic Conditions and Driver Types

AN OPTIMAL PROFILE AND LEAD MODIFICATION IN CYLINDRICAL GEAR TOOTH BY REDUCING THE LOAD DISTRIBUTION FACTOR

Capacity Design of Supercapacitor Battery Hybrid Energy Storage System with Repetitive Charging via Wireless Power Transfer

Design an Energy Management Strategy for a Parallel Hybrid Electric Vehicle

Preliminary Study on Quantitative Analysis of Steering System Using Hardware-in-the-Loop (HIL) Simulator

Suburban bus route design

AEB System for a Curved Road Considering V2Vbased Road Surface Conditions

Revision of ASEP Considerations for Future Steps Enhancement of the presentation from Germany

The design and implementation of a simulation platform for the running of high-speed trains based on High Level Architecture

Hydraulics in building systems. siemens.com/buildingtechnologies

Circuit Breaker and Transducer: Where do I connect? Robert Foster Application Engineer Megger Paradise, CA 95969

Modeling Multi-Objective Optimization Algorithms for Autonomous Vehicles to Enhance Safety and Energy Efficiency

The purpose of this lab is to explore the timing and termination of a phase for the cross street approach of an isolated intersection.

Transcription:

Analysis of minimum train headway on a moving block system by genetic algorithm Hideo Nakamura Nihon University, Narashinodai 7-24-1, Funabashi city, Email: nakamura@ecs.cst.nihon-u.ac.jp Abstract A minimum headway on a moving block system is discussed. Two different control concepts of the moving block system are defined. To obtain an optimum driving pattern which realizes a minimumheadway and least running-time, a genetic algorithm (GA) is introduced. The result shows that the minimum train headway simply decreases to 40km/h and thereafter the same values is kept in spite of a speed increase. And multiple-step braking operation is required at train stopping to a station from high speed running. 1. Introduction A moving block system is one of the most effective solution to realize high-density train running^. Supposing a train decelerates continuously from a maximum speed to a stopping point at a station, this operation is named a single-step braking, minimum train headway could be calculated uniquely under given train-running condition on a moving block system. On a single-step braking, there is a minimum point of train headway at approximately 40km/h at maximum speed. Over 40

1014 Computers in Railways km/h, train headway is increasing with maximum speed. In order to minimize the train headway, two-step braking operation is very effective in spite of train speed increasing. But until now the optimum break operation pattern has been never determined. A simulation method is adopted with assumption of two-step brake operation. By the way, the most suitable result of simulation data could not be said the optimum solution but a relatively optimum solution in the simulated results. In this paper to overcome this difficulty, a genetic algorithm (GA) is investigated. It becomes clear that the two-step brake operation provides an optimum solution at the case of maximum speed from 40km/h to 190km/h, and that braking steps shall be added to attain an optimum solution at the maximum speed of 190km/h or over. This paper outlines these results and details of the study. 2. Train headway on a moving block system 2.1 Definitions The general concept of a block zone under a moving block system is defined as follows. Def.l : Block Zone of Moving Block System "A track area which is determined by the distance from the position of preceding train to that of succeeding train is defined as the block zone of moving block system. According to Def.l, two different concepts of block zone are derived as shown in Fig.l. One is a general concept that a moving block zone is decided as an area from the tail of succeeding train to that of preceding train with some margin taken for safety. This system is named MB-STP type moving block system. In this system, a preceding train is always regarded as a wall. The other is a more efficient concept which can be adopted only for a derailment-free railway system. In this concept, the front boundary of moving block zone is decided by the stopping position of preceding train with a safety margin at the current running speed with a maximum braking value. This system is named MB-RUN type moving block system. It offers a possibility

Computers in Railways 1015 to significantly shorten the train headway. Preceding train Safety margin Safety marin Block zone (a) MB-STP type moving block system Stopping position Block zone. (b) MB-RUN type moving block system Fig. 1. Two types of moving block A train headway and a local-minimum train headway are defined by Def.2 and Def.3. (Note that all of the following definitions apply to both MB types.) Def.2: Train Headway The train headway is defined as the smallest time-interval between two trains at which any train can run by keeping an established driving pattern without any restriction caused by the preceding train at a target station or on a line. Under a moving block system, the train headway is affected by the train running curve. Then, the definition of a local-minimum headway at a target station is an important measure for system-efficiency analysis. Def.3 : Local-Minimum Train Headway and Minimum Headway Driving Pattern The local-minimum train headway (LMIH) is defined as the train headway obtained by an optimum driving operation at a target station to satisfy the minimum train headway and the least driving time. The minimum headway driving pattern (MHDP) is defined as a driving pattern which realizes optimum driving to satisfy LMIH. This paper analyzes the LMIH with an assumption that every train stops at the halt which means a small station with no side tracks, and the distance between two stations has enough length to allow train speed-up.

1016 Computers in Railways 2.2 Minimum train headway in single step braking Fig.3 outlines the running curves of two trains on the MB-STP type system. An occupied zone is defined as an area extending from the train tail to the stopping point which means the front of the braking distance. In a distance-time diagram of Fig.2 the occupied zone forms a closed region Ls. The Ls of succeeding train is able to approach to the tail of preceding train on line Li keeping at least 25 meters for safety margin. Then, the train headway is obtained as a time interval Th between the two trains. Eventually, we get a train headway by an analytical approach or a simulation method for each driving pattern. Table 1. Assumed values for simulation. Parameter Value Symbol Train length 200m L Deceleration (normal) 2.8km/h/s Bn=2.8/3.6 Deceleration (maximum) 4.7km/h/s Be=4.7/3.6 Acceleration 2.4km/h/s A=2.8/3.6 Stoppage time at a halt 40 second to Brake delay time 2 second tb (m/s2) (m/s2) (m/s2) Using train running parameters in Table 1, train headway is calculated in Fig.3. It shows following results. (1) On both moving block types, there is a minimum point of headway at approximately 40km/h at the maximum speed. (2) The headway of MB-RUN type is smaller than that of MB-STP type. But, the difference of headway, only three seconds or so, is not so large between two types. It shows that the MB-RUN type system does not yield the intended result. 1000 P re ce diner /fa in /< TOO ^z 300 Tim e[sec] Fig.2. Train headway on D-T graph.

Train headway (s) Computers in Railways 1017 110 MB-STP type MB-RUN type 100 90 80 I. I i_. i i i I i I. j. j. j., 10 20 O J' 30 50 50 JO BO?0 100 110 120 130 Maximum running speed (km/h) Fig. 3. Train headway at single step braking. 3. Local-minimum train headway on multiple step braking According to the above study and Fig. 3 on the single -step braking system, it is inferred that, if a train were decelerating from maximum speed to 40km/h far from the station and entering into the station area at a constant velocity of 40km/h before a station-stopping operation, then the train headway could be minimized to the same value in spite of the train maximum speed. This driving run-curve shapes a two-step braking figure. The local-minimum train headway (LMIH) by Def.3 must satisfy the least driving time condition. In order to search LMIH, a number of train driving patterns in a two-step brake operation must be introduced into the simulation. If the optimum data were selected from the simulated data, it could not be regarded as the optimum solution in general. Because until now it has not known whether a two-step brake operation gives a shorter train headway than a multiple-step brake operation.

1018 Computers in Railways 3.1 Genetic algorithm and LMIH To solve this difficulty, introduction of a genetic algorithm (GA) which is one of the most convenient tools to search a minimum and/or maximum solution is considered. It is essential for applying GA to define correlation with a gene. For a gene, the brake operation pattern is applied as follows. A train driving pattern illustrated with a narrow line from a given maximum speed to stopping is shown by a time vs. velocity diagram in Fig.4. The dashed line in Fig.4 means a driving pattern which is calculated under a two-step brake operation. In Fig.4 a gene corresponds to brake ON/OFF operations. Assuming a deceleration ratio as 2.8km/h/s, it takes 29 seconds for a train to stop from a maximum speed 80km/h. When a brake handle in a two-step brake operation is released at a middle speed Vr and the same speed position Vr is kept for T-seconds, total stop time would amount to 29+T seconds. If we prepare 240bits for a gene whose binary digit 1 means brake ON, any 29-out-of-240 codes can correspond to the pattern of a train arriving at the station. An architecture of the GA method is composed of forty individuals, an equality gene-crossover method and selecting conditions which are decided that is a better minimum train headway and a minimum arrival time. And a mutation is generated by a partial-replacement of bits and a bit-inverse method. Maximum speed Continuous brake Two-step brake Gene ' " ooooooooooooo...ooo 11111...1111 000000111.. 11111000000000001111] ^ 240bits Time Fig.4. Gene vs. braking pattern.

Computers in Railways 1019 3.2 Maximum speed vs. local-minimum train headway. Minimum train headway The relation of a local-minimum headway (LMIH) driving pattern vs. maximum speed and the effect of train length on LMIH are investigated utilizing the GA method. Selecting conditions for individuals are decided as follow. 1) The brake handling times is less. 2) The driving time between two stations is short. 3) The headway is small as far as possible. At first, the influence of maximum speed on LMIH is analyzed. According to the result, LMIH simply decreases to 40km/h and then keeps the same value in spite of speed increase as shown in Fig.5. This result means that even if the train speed is increased more, the train headway is maintained at about 85 seconds under the condition of MB-STP type, while under that of MB- RUN type, it keeps 83 seconds at the speed of exceeding 40km/h, By the way, it is nonsense to increase the driving time, even if train headway might be minimized. A driving time between two stations according to an MHDP is compared with that in a single-step brake operation whose driving time is the shortest. The difference between them increases in proportion to speedup. But the difference is no more than 15 seconds for LMIH, in spite 110-100- MB-STP single pattern MB-RUN single pattern MB-STP LMIH A MB-RUN LMIH 90 80 100 200 Maximum running speed (km/h) 300 Fig.5 Maximum train speed vs. LMIH.

1020 Computers in Railways of 200km/h of train speed as shown in Fig.6. On the other hand, the train headway of LMIH is 55 seconds shorter than that by a single-step brake operation as shown in Fig.6. When this result is roughly applied to train and traffic operation, in the case of driving according to a single-step brake operation 25.7 trains are able to run per hour, while 42.3 train runs are possible under a driving pattern of LMIH, if an increase in the operation time of 15 seconds is permitted for each train. From the view point of an increase in the carrying capacity, the efficiency of train operation according to an MHDP and intrinsic superiority of a moving block system are demonstrated by these results. Running time(s) 340 Single-step braking LMIH ofmb-stp type LMIH of MB-RUN type 300 260 150 Speed (km/h) %00 Fig.6 Running time loss of LMIH 3.3 Maximum speed and brake steps A distance vs. time curve corresponding to LMIH at the train speed of 200km/h under the condition of MB-STP type is illustrated in Fig.7. In it an outline of the curve forms a threestep brake operation. As mentioned already, deceleration is assumed to be a normal brake value in this analysis. Therefore, the dashed line in Fig.7 forms a horizontal line during a brake operation of succeeding train. Similarly, a train-driving pattern at 250km/h forms a figure of four-step brake operation at MB- STP type. According to these results a heuristic knowledge that the two-step brake operation brings about the optimum headway for traffic capacity increase, applies only to about 190km/h or less, and multiple-step brake operation had better

Computers in Railways 1021 be applied to high-speed running over 200km/h as shown in Fig.8. The relation between optimum brake handling steps and train speed is affected by various conditions such as a stoppage time at the station, maximum train speed, deceleration, acceleration and train length. But the phenomena generally apply as universal facts. 1000 (U o c +9 to Q -1000 100 200 Time [sec] 300 Fig.7 Distance-Time diagram of LMIH at 200km/h 4. Conclusions Selecting a halt which is one of the bottlenecks for train headway, the train headway under two types of moving block system has been investigated. A train driving under a moving block system has larger flexibility of driving so that train headway cannot be calculated by means of an analytical approach except for the case of a single-step brake operation. To solve this difficulty, a more efficient method applying GA has been produced. The relation of a Local-minimum headway (LMIH) driving pattern vs. Maximum speed has been analyzed. Under the assumed running conditions the effect-analysis of maximum speed on LMIH has shown an important result that LMIH simply decreases to the value at 40km/h and then keeps the same value in spite of speed increase.

1022 Computers in Railways Brake steps(times) 6 5 4 50 100 150 200 250 Maximum running speed (km/h) 300 Fig.8 Braking steps vs. maximum speed on MB-STP. When this result is roughly applied to train and traffic operation, in the case of driving according to a single-step brake operation 25.7 trains are able to run per hour, while 42.3 train runs are possible under a driving pattern of LM1H, if an increase in the operation time of 15 seconds is permitted for each train. It increases train capacity 64 per cent more than the conventional train operation does. From the viewpoint of increasing the carrying capacity, the efficiency of train driving according to an MHDP and intrinsic superiority of a moving block system have been revealed by these results. As a result of this study minimum and optimum train headway driving patterns corresponding to any train-speed under given train and track conditions can be produced easily by utilizing the GA method. References [1]H. Nakamura et al. "Development of radio and computer aided advanced train control system and dependable computer system". Denshi Tokyo of IEEE, No.32,1993. [2]Y. Hasegawa et al. "A new train control system by radio". IEEE Proc. Vehicular technology conference, May 1989.