Evaluation of Signal Control Strategy Based on Hardware-in-the-Loop

2014 ◽  
Vol 505-506 ◽  
pp. 1122-1126
Author(s):  
Xiao Hua Zhao ◽  
Chen Chen ◽  
Jian Rong
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Virtual Environment ◽  
Control Strategy ◽  
Control Strategies ◽  
Simulation Software ◽  
Signal Control ◽  
Hardware In The Loop ◽  
Microscopic Traffic Simulation ◽  
Real Signal

To evaluate the performance of different signal control strategies in intersection, based on the Hardware-In-The-Loop (HITL) simulation technology, a HITL system was established to perform experiment. In the system, microscopic traffic simulation software VISSIM created a virtual environment, in which the traffic flow can be controlled by the real signal controller. One type of intersection and four degrees of traffic volume were designed in the simulation program and three control strategies were set in the signal controller. Twelve simulations were performed in the system. The analysis of travel time and queuing length indicates that different strategies has remarkable influence on travel time, but no significant effect on queuing length.

HIL Testbed and Motion Control Strategy for the Hybrid Hydraulic-Electric Architecture (HHEA)

2021 ◽  
Author(s):  
Arpan Chatterjee ◽  
Perry Y. Li
Keyword(s):  
Motion Control ◽  
Control Strategy ◽  
Control Strategies ◽  
Electric Machines ◽  
Hardware In The Loop ◽  
System Efficiency ◽  
Electric Motors ◽  
Test Bed ◽  
Road Vehicles ◽  
Precise Control

Abstract The Hybrid Hydraulic-Electric Architecture (HHEA) was proposed in recent years to increase system efficiency of high power mobile machines and to reap the benefits of electrification without the need for large electric machines. It uses a set of common pressure rails to provide the majority of power hydraulically and small electric motors to modulate that power for precise control. This paper presents the development of a Hardware-in-the-loop (HIL) test-bed for testing motion control strategies for the HHEA. Precise motion control is important for off-road vehicles whose utility requires the machine being dexterous and performing tasks exactly as commanded. Motion control for the HHEA is challenging due to its intrinsic use of discrete pressure rail switches to minimize system efficiency or to keep the system within the torque capabilities of the electric motor. The motion control strategy utilizes two different controllers: a nominal passivity based back-stepping controller used in between pressure rail switches and a transition controller used to handle the event of a pressure rail switch. In this paper, the performance of the nominal control under various nominal and rail switching scenarios is experimentally evaluated on the HIL testbed.

Hysteresis Compensation Control Strategy for Pneumatic ABS System of Commercial Vehicle and HIL Test Validation

2013 ◽  
Vol 694-697 ◽  
pp. 1545-1548
Author(s):  
Jong Chol Han ◽  
Chang Fu Zong ◽  
Hong Yu Zheng
Keyword(s):  
Control Strategy ◽  
Test Bench ◽  
Commercial Vehicle ◽  
Simulation Software ◽  
Hardware In The Loop ◽  
Test Results ◽  
Hysteresis Compensation ◽  
Braking System ◽  
Vehicle Active Safety ◽  
Hysteresis Characteristics

A control strategy for pneumatic ABS(Anti-lock Braking System) of commercial vehicle has been developed and validated by combining with Trucksim simulation software and by using hardware-in-the-loop test bench for hysteresis characteristics compensation. The test results show that the ABS control strategy satisfies the control requirements for system hysteresis characteristics, and improve the performance of pneumatic ABS system for commercial vehicle effectively, thus vehicle active safety is increased.

Simulation Research of Flow and Speed on Urban Expressway Interchange Entrance

2013 ◽  
Vol 779-780 ◽  
pp. 796-799
Author(s):  
Liang Wang ◽  
Yu Jie Wang ◽  
Ling Yu Wang
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Service Level ◽  
Simulation Software ◽  
Simulation Research ◽  
Main Road ◽  
Microscopic Traffic Simulation ◽  
Urban Expressway ◽  
Traffic Capacity ◽  
And Control

The urban expressway overpass entrance is an important node of the urban road system. Traffic jams often happen at entrance. The characteristics of urban expressway entrance and the advantages of the microscopic traffic simulation were combined to analyze capacity of entrance. VISSIM simulation software was used and the validity of the simulation model was verified. The influence of the main road traffic flow and the desired speed of entrance to flow and speed of the urban expressway entrance were analyzed through simulation experiment. On the whole, traffic capacity of urban expressway entrance reduces with the increase of traffic flow on the main road. The higher the desired speed is, the faster traffic capacity reduces. The increase of speed and control of main road traffic flow is of great significance for improving the capacity and service level of expressway.

scholarly journals Design of real-time actuated control system for modern tram at arterial intersections based on logic rules

2018 ◽  
Vol 10 (12) ◽  
pp. 168781401881542
Author(s):  
Yun Li ◽  
Qiyan Cai ◽  
Yujie Xu ◽  
Weihua Shi ◽  
Yibao Chen
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Control Model ◽  
Simulation Software ◽  
Signal Control ◽  
Average Delay ◽  
Absolute Priority ◽  
Control Scheme ◽  
Logic Rule ◽  
Trigger Detector

This article is on the purpose of developing an isolated tram signal priority control strategy based on logic rule for modern tram system. The designed method is presented with features that can ensure the intersection operates in a proper manner on the premise of tram priority and avoid vehicle queue overflow when the tram passes. In this study, the new method description consists of two parts: (1) the detector locations are determined, which include the upstream detector, the upstream trigger detector, the downstream detector, and the queuing detector upon entry approach to the intersection; (2) the corresponding priority logical algorithm for signal control is designed. The proposed method is experimentally examined in a tram intersection in Huaian city, China. In the process of the experiment, the detector layout scheme and optimal priority control model are simulated and verified using the VisVAP module of the Vissim simulation software. In the experimental results, the designed scheme significantly decreases average delay than the fixed timing signal control method, while it also can prevent the vehicle queue from overflowing compared to the absolute priority actuated control scheme.

scholarly journals Research on Urban Traffic Signal Control Systems Based on Cyber Physical Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Li-li Zhang ◽  
Qi Zhao ◽  
Li Wang ◽  
Ling-yu Zhang
Keyword(s):  
Real Time ◽  
Control Strategy ◽  
Road Traffic ◽  
Control Strategies ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
General Control ◽  
Urban Road ◽  
New System

In this paper, we present a traffic cyber physical system for urban road traffic signal control, which is referred to as UTSC-CPS. With this proposed system, managers and researchers can realize the construction and simulation of various types of traffic scenarios, the rapid development, and optimization of new control strategies and can apply effective control strategies to actual traffic management. The advantages of this new system include the following. Firstly, the fusion architecture of private cloud computing and edge computing is proposed for the first time, which effectively improves the performance of software and hardware of the urban road traffic signal control system and realizes information security perception and protection in cloud and equipment, respectively, within the fusion framework; secondly, using the concept of parallel system, the depth of real-time traffic control subsystem and real-time simulation subsystem is realized. Thirdly, the idea of virtual scene basic engine and strategy agent engine is put forward in the system design, which separates data from control strategy by designing a general control strategy API and helps researchers focus on control algorithm itself without paying attention to detection data and basic data. Finally, considering China, the system designs a general control strategy API to separate data from control strategy. Most of the popular communication protocols between signal controllers and detectors are private protocols. The standard protocol conversion middleware is skillfully designed, which decouples the field equipment from the system software and achieves the universality and reliability of the control strategy. To further demonstrate the advantages of the new system, we have carried out a one-year practical test in Weifang City, Shandong Province, China. The system has been proved in terms of stability, security, scalability, practicability and rapid practice, and verification of the new control strategy. At the same time, it proves the superiority of the simulation subsystem in the performance and simulation scale by comparing the different-scale road networks of Shunyi District in Beijing and Weifang City in Shandong Province. Further tests were conducted using real intersections, and the results were equally valid.

Modified Stackelberg Games Approach for Dynamic Signal Control and Route Choice Equilibrium on Mixed Networks

2020 ◽  
Vol 2674 (9) ◽  
pp. 51-65
Author(s):  
Hang Yang ◽  
Zhongyu Wang ◽  
Yajie Zou ◽  
Bing Wu ◽  
Yinhai Wang
Keyword(s):  
Travel Time ◽  
Real Time ◽  
Control Strategy ◽  
Compliance Rate ◽  
Route Choice ◽  
System Optimization ◽  
Stackelberg Games ◽  
Signal Control ◽  
Level Change ◽  
Dynamic Signal

The dynamic signal control and route choice equilibrium are usually integrated into a noncooperative game between the network authority and the road users. There are mainly two problems in most existing optimization methods. Firstly, the authority is often placed in the upper level in bi-level programming models, this pure system-optimization-oriented framework may increase the difficulty in obtaining an equilibrium flow distribution. Secondly, the rate of drivers’ compliance on the control strategy has not been fully investigated, which makes the problem intractable in real time, especially in a connected vehicle (CV) environment. This paper proposes a modified Stackelberg games model to change the format of the authority-user and user-authority dynamically. The direct communication between the authority and users is established, and the drivers’ compliance rate is applied as the level-change threshold index. Considering the difference between the drivers’ realized travel time and the predicted travel time on the variable message sign (VMS), a logit model is formed to calibrate the compliance rate in every time step. Based on a modified wavelet neural network algorithm, the model predictive control (MPC) fulfills the level-change procedure using the software Matlab 2018b. Six benchmarks are applied in a numerical example. The results show that the proposed model with the centralized framework obtains the minimum total travel cost compared with the benchmarks. Combined with the real-time mutual feedback between drivers’ response and control strategy, the level-change procedure potentially maintains the compliance rate within a certain level.

A Study of an Adaptive Two-Phrase Signal Control Strategy for Resolving Conflicting Transit Signal Priority Calls

2014 ◽  
Vol 505-506 ◽  
pp. 1028-1036
Author(s):  
Liu Yi Gao ◽  
Xiao Jian Hu ◽  
Wei Wang ◽  
Xue Dong Hua
Keyword(s):  
Control Strategy ◽  
Traffic Control ◽  
Simulation Software ◽  
Signal Control ◽  
Transit Signal Priority ◽  
Adaptive Signal Control ◽  
Vehicle Systems ◽  
Micro Simulation ◽  
Travel Delay ◽  
Adaptive Signal

This paper presents the development and evaluation of an adaptive two-phrase signal control strategy to resolve conflicting Transit Signal Priority (TSP) requests. The strategy was designed to provide adaptive transit signal priority control, using vehicle systems and existing traffic control devices. In this paper, the strategys efficiency was tested using a micro-simulation software VISSIM and build one arterial road contains five intersections and serves more than twenty conflicting bus lines. The VAP module was used to control TSP of conflicting requests. In the simulation, actual data was used. Finally, control efficiency about adaptive signal control strategy is discussed. The results show that the presented strategy can improve the operation efficiency of bus corporations. This signal control strategy reduced the travel delay time by 33 % to 55% of transit, while has little impact on private traffic. The strategy shows promising results. In addition, with minor upgrades, it can be applied to any type of intersection.

scholarly journals Demand Data Modelling for Microscopic Traffic Simulation

2018 ◽  
Vol 19 (4) ◽  
pp. 364-371
Author(s):  
Mihails Savrasovs ◽  
Irina Pticina ◽  
Valery Zemlyanikin ◽  
Ioannis Karakikes
Keyword(s):  
Traffic Flow ◽  
Traffic Simulation ◽  
Flow Simulation ◽  
Simulation Software ◽  
Transport Network ◽  
Data Modelling ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Dynamic Assignment ◽  
Traffic Flow Simulation

Abstract The current paper aim is to present the technique of demand data modelling for microscopic simulation of the traffic flows. Traffic microscopic simulation is a powerful decision supporting tool, which could be applied for a wide range of tasks. In a past microscopic traffic simulation was used to test local changes in transport infrastructure, but the growth of computers performance allows now to simulate wide-scale fragments of the traffic network and to apply more advanced traffic flow simulation approaches, like an example dynamic assignment (DA). The results, obtained in the frame of this research are part of the project completed for one of the shopping malls (Riga, Latvia). The goal of the project was to evaluate different development scenarios of the transport network to raise the accessibility of the shopping mall. The number of practical issues in the frame of this project pushed to develop a new technique to model the demand data for the simulation model. As a traffic flow simulation tool, the PTV VISSIM simulation software was applied. The developed model was based on dynamic assignment approach. To complete the simulation the demand data was represented in two forms: 1) OD matrix for regular traffic in the transport network; 2) trip-chain file for a description of the pass-by and targeted trips.

Based the Active Defense Substation Domain Strategy Control Method to against Blackout

2014 ◽  
Vol 1070-1072 ◽  
pp. 687-692
Author(s):  
Qing Wei Zhang ◽  
Sheng Yang ◽  
Ying Dai
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Control Strategies ◽  
Stability Control ◽  
Simulation Software ◽  
System Stability ◽  
Active Defense ◽  
Real Time Analysis ◽  
Strategy Control ◽  
Building Program

In the previous blackout, overload components out of operation often leaded to the expansion of the accident. One active defense substation domain strategy control system was proposed to prevent the N-1 contingencies to N-2 contingencies caused blackout. Through the substation elements states real time analysis , the active defense control strategy was created by learn from the principles and action messages of backup switching equipment, protection and automatic stability control devices. In order to keep the overall system stability, the active defense control strategy was completed by actively put in the standby element or quit part of the overload elements, to make the system into a new equilibrium state. Contrasting these control strategies by PSCAD/EMTDC simulation software, the results presented that this strategy could quickly change the “Close to collapse” zone into the stability states and the building program simple and practical.

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