scholarly journals Performance Analysis of the Sleep Mode in WiMAX 2 Networks with Multimedia Application

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Shunfu Jin ◽  
Wuyi Yue ◽  
Xiaofei Zhang
Keyword(s):  
Real Time ◽  
Multimedia Application ◽  
Arrival Process ◽  
Sleep Mode ◽  
Queueing Model ◽  
Average Response ◽  
Average Response Time ◽  
The Real ◽  
Data Packets ◽  
Real Time Traffic

We consider the sleep mode with multimedia application in WiMAX 2 networks, where the real-time traffic includes the real-time and the best-effort traffic mixed. We present a queueing model with multiple heterogeneous vacations to characterize the system probability behavior in the networks with multimedia application. Taking into account the correlation of the real-time traffic, we assume the arrival process as a discrete-time Markovian arrival process (D-MAP) and analyze this queueing model by using the method of an embedded Markov chain. Then, we present the probability distribution for the number of data packets. Accordingly, we give the formulas for the performance measures in terms of the average response time of data packets, the energy saving ratio, and the standard deviation of the number of data packets. We also develop a cost function to determine the optimal length of the sleep cycle in order to maximize the energy saving ratio while satisfying the Quality of Service (QoS) constraint on the average response time of data packets. Finally, we provide numerical results to investigate the influence of the system parameters on the system performance.

scholarly journals Average Response Time (ART):Real-Time Traffic Management in VFC Enabled Smart Cities

2020 ◽  
Vol 981 ◽  
pp. 022054
Author(s):  
Shabana ◽  
Sallauddin Mohmmad ◽  
Mohammed Ali Shaik ◽  
K Mahender ◽  
Ranganath Kanakam ◽  
...  
Keyword(s):  
Response Time ◽  
Real Time ◽  
Traffic Management ◽  
Smart Cities ◽  
Average Response ◽  
Average Response Time ◽  
Real Time Traffic

scholarly journals Research on Optimized Control Model of Freeway Based on Dynamic Traffic Demand Estimation

2014 ◽  
Vol 6 ◽  
pp. 797293 ◽  
Author(s):  
Zhu Jiang ◽  
Shubin Li
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Demand Estimation ◽  
Control Model ◽  
Control Module ◽  
Traffic Demand ◽  
The Real ◽  
Traffic Conditions ◽  
Real Time Traffic ◽  
Global Optimal

According to the estimation information of dynamic traffic demands, a novel optimal control model of freeway was established on the basis of the hierarchical concept. There are four control modules in this model. The OD prediction module predicts the total traffic demands in a long time and determines the upper bound of the future queuing length in advance; the global optimal control module predicts the future traffic state and establishes the coordination constraints for each ramp in the network; the traffic demand estimation module estimates the real-time traffic conditions for each ramp; the local adaptive control module regulates ramp metering rate according to the estimated information of the real-time traffic conditions and the results optimized by the global optimal control module. The simulation results show that this control system is of a good dynamic performance. It coordinates the benefits of various ramps and optimizes the overall performance of the freeway network.

Research on the Traffic Simulation Platform Based on the Real-Time Mobile Phone Data

2012 ◽  
Vol 253-255 ◽  
pp. 1365-1368
Author(s):  
Ge Qi Qi ◽  
Jian Ping Wu ◽  
Yi Man Du
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Traffic Simulation ◽  
Rapid Development ◽  
Mobile Phone Data ◽  
Simulation Platform ◽  
Traffic Data ◽  
The Real ◽  
Real Time Traffic ◽  
Wide Range

With the rapid development of the society, the transportation system has become more complicated and vulnerable. For simulating the real-time traffic condition of the whole city, a wide range of OD matrix data are needed which are hard to collect in whole based on the present conventional methods. The paper raises a feasible design of the traffic simulation platform based on the real-time mobile phone data. The popularity and development of mobile phones make the vast amounts of real-time traffic data can be collected and usable. With the help of the GIS module, dynamic OD traffic generation module and other related modules, the real-time mobile phone data will be converted to the valuable traffic data and applied to the traffic simulation platform.

Scaling the Real-Time Traffic Sensing with GPS Equipped Probe Vehicles

2014 ◽  
Author(s):  
Peng-Jui Tseng ◽  
Chia-Chen Hung ◽  
Yu-Hsiang Chuang ◽  
Kuo Kao ◽  
Wei-Hui Chen ◽  
...  
Keyword(s):  
Real Time ◽  
The Real ◽  
Probe Vehicles ◽  
Real Time Traffic

Research a New Automatic Detective Method of Highway Traffic Statement Based on the Information From the License Plate Data

2013 ◽  
Vol 779-780 ◽  
pp. 779-783
Author(s):  
Huan Jiong Zhang ◽  
Xiao Ping Jin ◽  
Ping Zhang
Keyword(s):  
Real Time ◽  
Automatic Detection ◽  
New Method ◽  
License Plate ◽  
Highway Traffic ◽  
Key Technology ◽  
The Real ◽  
Real Time Traffic ◽  
Precise Degree

in this paper, the key technology of the traffic statement automatic detection is researched, based on analyzing the properties of the information from the collected license plates, a new automatic traffic statement detective method is pointed out, this new method can express the essential characters of the traffic statement, and valuably gain the precise degree. This automatic detective method expresses the fine applicative prospect in the field of the real time traffic statement detection and management.

Research on Access Network Flow Control Management Process

2014 ◽  
Vol 687-691 ◽  
pp. 2552-2556
Author(s):  
Yun Qiu Shi ◽  
Chuan Sheng Wu
Keyword(s):  
Flow Control ◽  
Real Time ◽  
Network Flow ◽  
Access Network ◽  
Central Control ◽  
The Real ◽  
Real Time Traffic ◽  
Control Node ◽  
Flow Information ◽  
Distribution Of Resources

The urban area of the server can be a central control node switch and server node, the node switches and a server node can know the porttraffic information in real time. When the connection existed over between 2 of these devices, a connection can be selected according to the real-time traffic, real-time routing function to avoid network congestion and flow of the uneven distribution of resources. Similarly, node server can central control node switch can know the real-time node switch port flow information, therefore, the node switches can obtain the terminal flow control information from the server to the terminal node data transmission flow control.

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