scholarly journals Modelling and Control of Narrow Tilting Vehicle for Future Transportation System

2020 ◽  
Author(s):  
Yaxing Ren
Keyword(s):  
Transportation System ◽  
And Control

Function Design of Advanced Public Transportation System Car Terminal and Control Center PC

2011 ◽  
Vol 28 (3) ◽  
pp. 65-70
Author(s):  
王海洋 WANG Hai-yang ◽  
蔡长青 CAI Chang-qing ◽  
陈昕 CHEN Xin
Keyword(s):  
Public Transportation ◽  
Transportation System ◽  
Control Center ◽  
Function Design ◽  
Public Transportation System ◽  
And Control

Load transportation system based on autonomous small size helicopters

2010 ◽  
Vol 114 (1153) ◽  
pp. 191-198 ◽  
Author(s):  
M. Bernard ◽  
K. Kondak ◽  
G. Hommel
Keyword(s):  
Controller Design ◽  
Transportation System ◽  
Full Size ◽  
Distributed Sensor ◽  
Real World Application ◽  
Non Linear ◽  
Full Form ◽  
Space Limitation ◽  
Load Transportation ◽  
And Control

Abstract This paper is devoted to modelling and control algorithms for a slung load transportation system composed of one or multiple helicopters, where the load is coupled by the means of flexible ropes (see Fig. 1). The coupled helicopter system overcomes the payload limitation of a single small size helicopter, while keeping most of its advantages: small costs of operation, low maintenance costs and increased safeness. Therefore, the system can be utilised whenever the use of full size helicopters is impossible, too expensive or prohibited by law. We focus on the deployment and repairing of distributed sensor networks, using a transportation system based on multiple small size helicopters. A possible real world application is the deployment of fire fighting equipment, where space limitation of the fire trucks prohibits the application of bigger UAVs and using full size helicopters is too dangerous. The problem of load transportation using one or two full size helicopters (twin lift helicopter system), connected to the load by means of flexible ropes, has been discussed in the aerospace research community at least since 1960. We have shown in our previous work that there is a fundamental difference in the mathematical description between small and full size helicopters. Therefore, also the control design for the case of small size helicopters needs to be different. To our knowledge, the control of a slung load transportation system composed of multiple small size helicopters has not been studied until now. In this paper, the complete mechanical setup of the slung load transportation system based on one or more small size helicopters is presented. This includes a short description of the used UAVs, the additionally required sensors, and how the load is mounted. A model of one/multiple helicopters transporting a load is introduced. This model is used in a simplified form for the controller design and in full form for simulation. The controller for one and two helicopters, which is based on a state feedback controller, as well as the controller for three and more helicopters, which is based on a non linear controller, are explained in detail. Both controllers utilise an underlying non-linear orientation controller. We propose a feedback loop, based on forces measured in the ropes, to compensate for the influence of the rope. The controllers were tested in simulation and in real flight experiments. The world wide first flight experiment with three coupled helicopters was successfully conducted at the end of 2007.

Motion and Vibration Control of a Flexible Transportation System

2003 ◽  
Author(s):  
Keisuke Takemoto ◽  
Masato Mori ◽  
Toru Watanabe ◽  
Kazuto Seto
Keyword(s):  
Vibration Control ◽  
Control Method ◽  
Transportation System ◽  
Modeling Method ◽  
Vibration Modes ◽  
Simulation Experiments ◽  
Reduced Order ◽  
Control Effectiveness ◽  
Modeling Approach ◽  
And Control

This paper shows a lumped modeling approach and a motion and vibration control method for a transportation system. The modeling approach is made on the premise that motion influences vibration, but that vibration doesn’t influence motion. To obtain well suppressed vibration and a robustness for the system, LQI control is adopted. It is shown that this theory has superior robustness for in motion and vibration control with variations of the parameters [1]. The control effectiveness is demonstrated through simulation experiments. The vibration modes that occur accordingly become flexible might cause a spillover instability problem. Thus, the purpose of the research is to control such vibration and motion using the modeling method presented by Seto, called the “reduced order physical modeling method” [2]. Computer simulation and control experiments are carried out and the effectiveness of the procedures presented is investigated.

Dynamics and Control of a Ground Effect Transportation System

2007 ◽  
Author(s):  
Manoranjan Majji ◽  
Raktim Bhattacharya ◽  
John L. Junkins
Keyword(s):  
Ground Effect ◽  
Transportation System ◽  
Dynamics And Control ◽  
And Control

scholarly journals Impacts of an Advanced Public Transportation System Demonstration Project

2000 ◽  
Vol 1735 (1) ◽  
pp. 169-177 ◽  
Author(s):  
Jonathan Levine ◽  
Qiang Hong ◽  
George Edward Hug ◽  
Daniel Rodriguez
Keyword(s):  
Public Transportation ◽  
Transportation System ◽  
Transit Planning ◽  
Control Center ◽  
Individual System ◽  
Multidimensional Evaluation ◽  
Ann Arbor ◽  
Public Transportation System ◽  
Schedule Adherence ◽  
And Control

In 1997 the Ann Arbor (Michigan) Transportation Authority began deploying a set of integrated, advanced public transportation system technologies in its vehicles, stations, and control center. Selected findings are summarized of a multidimensional evaluation of the effects of the system on schedule adherence and transfer time, passenger perception, and drivers. Some improvement in on-time performance was observed in vehicle departures from major transfer points, though not in arrivals. Modest improvements were observed in transfer coordination for routes planned for timed transfers. Deployment of the system did not raise passengers’ rating of relevant aspects of their transit experience, but impacts of individual system elements were rated favorably. Focus groups and a driver survey revealed a fundamentally favorable attitude toward the deployment of technology coupled with some concern about limitations that it might impose on driver communications and on-the-job creativity. Benefits of the system that were not apparent during the period of the evaluation but may materialize over the longer term include prevention of and response to safety- and security-related incidents and enhanced information for transit planning.

An intelligent transportation system for detection and control of congested roads in urban centers

2015 ◽  
Author(s):  
Celso A. R. L. Brennand ◽  
Allan M. de Souza ◽  
Guilherme Maia ◽  
Azzedine Boukerche ◽  
Heitor Ramos ◽  
...  
Keyword(s):  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Urban Centers ◽  
And Control

scholarly journals Statistics of Dangerous Cargo Accidents during Highway Transportation

CONVERTER ◽  
2021 ◽  
pp. 53-63
Author(s):  
Xiao Li, Et al.
Keyword(s):  
Spatial Distribution ◽  
Prevention And Control ◽  
Present Situation ◽  
Transportation System ◽  
Common Type ◽  
Transportation Safety ◽  
Highway Transportation ◽  
Accident Consequence ◽  
Annual Scale ◽  
And Control

Research on present situation and trends of accidents takes an important role on prevention and control on dangerous cargo accidents during highway transportation. According to the current situation of highway transportation for dangerous cargo, the characteristics of highway transportation system for dangerous cargo are put forward. Statistical analysis of dangerous cargo in China from 2013 to 2019 related to characteristics and consequences are discussed in this study. The different time volatility, spatial distribution and accident consequence features are revealed. Results show that the dangerous cargo of highway transportation system presents a multiple spots, long lines, broad coverage, and high risk features. The annual scale of dangerous cargo accidents shows irregular ‘M’ distribution since 2013. December is the month with the most accidents. Wednesday is the day with the most accidents. Fifth period is the most accidents. Shandong is the province with the most accidents. Normal section is the section with the most accidents. The liquid is the type with the most accidents. Leakage is the most common type of accident. Countermeasures focusing on improving highway transportation safety for dangerous cargo accidents are recommended.

Modelling and control of a multimodal transportation system using hybrid Petri nets with fuzzy logic

2013 ◽  
Vol 5 (3/4) ◽  
pp. 255 ◽  
Author(s):  
Faiza Mahi ◽  
Ahmed Nait Sidi Moh ◽  
Fatima Debbat ◽  
Mohamed Faycal Khelfi
Keyword(s):  
Fuzzy Logic ◽  
Petri Nets ◽  
Transportation System ◽  
Multimodal Transportation ◽  
Hybrid Petri Nets ◽  
And Control
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