Design and Implementation of Bus–Holding Control Strategies with Real-Time Information

Author(s):  
Liping Fu ◽  
Xuhui Yang

A systematic study is described to address various design and implementation issues associated with the problem of real-time bus holding control. Two holding control models have been investigated. The first model follows the conventional threshold-based control logic that determines holding times on the basis of headway to the preceding bus. The second model makes use of both preceding and following headways in identifying optimal control decisions with the assumption that real-time bus location information is available for estimating future bus arrivals at the control stop. An extensive simulation analysis is performed using a real-fife bus route operated by the Grand River Transit of the region of Waterloo, Ontario. The simulation results have substantiated several conclusions and yielded new findings on various issues such as where to set the control point, how many control points should be used, what is the optimal control strength, and what is the value of real-time location information.

2016 ◽  
Vol 5 (4) ◽  
pp. 25-38
Author(s):  
Daniela Pasini ◽  
Angelo Luigi Camillo Ciribini ◽  
Bruno Daniotti

Considering the remarkable shift that the digitalisation is nowadays bringing about in the building sector, the paper focuses on how the great amount of data collected around assets is changing the way buildings are operated, particularly for what concerns innovation on products, processes and technologies. By establishing a connection between as-designed virtual models and as-delivered physical assets, the paper presents methods and tools based on information management and developed for assessing building behaviours in operation and for defining control strategies for satisfying user needs. The research aims to investigate how the building process could benefit from the availability of multi-faceted information collected in real time (e.g. through sensors) during the operational stages of buildings. Digitally-enabled practices and technologies have been developed and tested for improving a data-driven asset management, by enriching Building Information Models through data gathered through Building Management Systems, according to the Industry Foundation Classes schema.


2013 ◽  
Vol 325-326 ◽  
pp. 573-576
Author(s):  
Shi Yong Dai ◽  
Fan Pan ◽  
Fei Liu

The traditional automatic switchover device installed in substation only uses local real-time information to make control strategies, with the logic of device predetermined, so it could not adapt to different operating modes. A new wide-area automatic switchover system based on energy manage system (EMS) is proposed in the paper. The wide-area automatic switchover modeling is established through automated modeling and the real-time rest oration control is implemented. The system solves the power supply restore under serial single power supply failure. By comprehensive use of information of the whole network, the automatic switchover can coordinate with other automatic security devices and protections. In addition, the control strategies and network security will be checked and modified in order to prevent from overload and improve security of automatic switchover strategies. The system has been used in Guangdong power grid of China.


2013 ◽  
Vol 336-338 ◽  
pp. 2091-2094
Author(s):  
Dong Mei Huang ◽  
Yan Ling Du ◽  
Sheng Qi He

Evacuation path is an important part of the marine disaster decision support. It can provide evacuation paths quickly for the affected people to ensure life safety. The application is developed based on android platform. Take advantages of GPS to obtain real-time location information in order to achieve dynamic path of the affected personnel evacuation. It has solved problems of information delay, inability to obtain or update the data in real time caused by traditional methods. Thus, the application has high availability.


2019 ◽  
pp. 833-848
Author(s):  
Daniela Pasini ◽  
Angelo Luigi Camillo Ciribini ◽  
Bruno Daniotti

Considering the remarkable shift that the digitalisation is nowadays bringing about in the building sector, the paper focuses on how the great amount of data collected around assets is changing the way buildings are operated, particularly for what concerns innovation on products, processes and technologies. By establishing a connection between as-designed virtual models and as-delivered physical assets, the paper presents methods and tools based on information management and developed for assessing building behaviours in operation and for defining control strategies for satisfying user needs. The research aims to investigate how the building process could benefit from the availability of multi-faceted information collected in real time (e.g. through sensors) during the operational stages of buildings. Digitally-enabled practices and technologies have been developed and tested for improving a data-driven asset management, by enriching Building Information Models through data gathered through Building Management Systems, according to the Industry Foundation Classes schema.


2015 ◽  
Vol 751 ◽  
pp. 281-286 ◽  
Author(s):  
Mei Mei Wu

The article mainly introduced the design and implementation of food cold chain monitoring system, Introduces the realization method of ZigBee, GPS, GPRS, GIS, embedded system and remote database and remote access technology based on the network, Realized the environment real-time monitoring and real-time location information records to the cold chain transportation of refrigerator truck, and can access it from the remote network.


Author(s):  
T Q Dinh ◽  
T M N Bui ◽  
J Marco ◽  
C Watts

With significantly increasing concerns about greenhouse effects and sustainable economy, the marine industry presents great potential for reducing its environmental impact. Recent developments in power electronics and hybridisation technologies create new opportunities for innovative marine power plants which utilize both traditional diesel generators and energy storage like batteries and/or supercapacitors as the power sources. However, power management of such complex systems in order to achieve the best efficiency becomes one of the major challenges. Acknowledging this importance, this research aims to develop an optimal control strategy (OCS) for hybrid marine power plants. First, architecture of the researched marine power plant is briefly discussed and a simple plant model is presented. The generator can be used to charge the batteries when the ship works with low power demands. Conversely, this battery energy can be used as an additional power source to drive the propulsion or assist the generators when necessary. In addition, energy losses through braking can be recuperated and stored in the battery for later use. Second, the OCS is developed based on equivalent fuel consumption minimisation (EFCM) approach to manage efficiently the power flow between the power sources. This helps the generators to work at the optimal operating conditions, conserving fuel and lowering emissions. In principle, the EFCM is based on the simple concept that discharging the battery at present is equivalent to a fuel burn in the future and vice-versa and, is suitable for real-time implementation. However, instantaneously regulating the power sources’ demands could affect the system stability as well as the lifetime of the components.  To overcome this drawback and to achieve smooth energy management, the OCS is designed with a number of penalty factors by considering carefully the system states, such as generators’ fuel consumption and dynamics (stop/start and cranking behaviour), battery state of charge and power demands. Moreover, adaptive energy conversion factors are designed using artificial intelligence and integrated in the OCS design to improve the management performance. The system therefore is capable of operating in the highest fuel economy zone and without sacrificing the overall performance. Furthermore, a real-time simulation platform has been developed for the future investigation of the control logic. The effectiveness of the proposed OCS is then verified through numerical simulations with a number of test cases.


2011 ◽  
Vol 64 (2) ◽  
pp. 448-459 ◽  
Author(s):  
G. Cembrano ◽  
J. Quevedo ◽  
V. Puig ◽  
R. Pérez ◽  
J. Figueras ◽  
...  

This paper presents a generic tool, named PLIO, that allows to implement the real-time operational control of water networks. Control strategies are generated using predictive optimal control techniques. This tool allows the flow management in a large water supply and distribution system including reservoirs, open-flow channels for water transport, water treatment plants, pressurized water pipe networks, tanks, flow/pressure control elements and a telemetry/telecontrol system. Predictive optimal control is used to generate flow control strategies from the sources to the consumer areas to meet future demands with appropriate pressure levels, optimizing operational goals such as network safety volumes and flow control stability. PLIO allows to build the network model graphically and then to automatically generate the model equations used by the predictive optimal controller. Additionally, PLIO can work off-line (in simulation) and on-line (in real-time mode). The case study of Santiago-Chile is presented to exemplify the control results obtained using PLIO off-line (in simulation).


Sign in / Sign up

Export Citation Format

Share Document