Energy Consumption in Traffic Flow with a Slowdown Section

2012 ◽  
Vol 524-527 ◽  
pp. 3093-3096 ◽  
Author(s):  
Yan Hong Fan ◽  
Hua Kuang ◽  
Guo Xin Zhang ◽  
Ling Jiang Kong
Keyword(s):  
Energy Consumption ◽  
Traffic Flow ◽  
Traffic Control ◽  
Speed Limit ◽  
Stochastic Noise ◽  
Important Conclusion ◽  
Vehicle Accidents ◽  
Energy Consumption Analysis ◽  
Reduce Energy Consumption ◽  
Simulation Results

Based on the Nagel-Schreckenberg model, an extended cellular automaton model is proposed to simulate the characteristics of the energy consumption in traffic flow with a slowdown section by considering the stochastic noise, the length and speed limit of the slowdown section. The simulation results show that the energy consumption is determined by the length Ls of the slowdown section as well as the speed limit Vs of the slowdown section. The smaller Vs and the larger Ls can effectively alleviate energy consumption. Through vehicle accidents and energy consumption analysis, an important conclusion is drawn that Vs =1 may be an optimum design to drive safely and reduce energy consumption from traffic control. Furthermore, the stochastic braking probability P has also an important effect on energy consumption.

Effect of Multi-Slowdown Sections on Traffic Flow

2012 ◽  
Vol 253-255 ◽  
pp. 1619-1622
Author(s):  
Yan Hong Fan ◽  
Hua Kuang ◽  
Guo Xin Zhang ◽  
Ling Jiang Kong ◽  
Xing Li Li
Keyword(s):  
Energy Consumption ◽  
Traffic Flow ◽  
Maximum Flow ◽  
Underlying Mechanism ◽  
Speed Limit ◽  
Fundamental Diagram ◽  
Mean Velocity ◽  
Traffic System ◽  
Flow Phase ◽  
Multi Phase

Based on the NS model, an extended cellular automaton model is proposed to simulate complex characteristics and energy consumption of traffic flow with some slowdown sections on a highway by considering the number, speed limit and distribution of slowdown sections. The simulation results show that the present model can exhibit a multi-phase coexistence phenomenon, i.e., the freely moving phase, the maximum flow phase and the jamming phase coexist in traffic system. The fundamental diagram shows that the number of slowdown section has no influence on the mean velocity and flow. However, energy consumption increases with increase of the number of slowdown section at low density. In addition, it can be found that the speed limit and distribution of different slowdown sections have an important effect on traffic flow and energy consumption, and the underlying mechanism is also analyzed.

Energy Management in Public Buildings Using IFIX-Based SCADA System

2011 ◽  
Vol 403-408 ◽  
pp. 1588-1591
Author(s):  
Jun Lu ◽  
Liang Wang ◽  
Xi Wang ◽  
Chun Die Li
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Computer Control ◽  
Energy Management System ◽  
Computer Control System ◽  
Public Buildings ◽  
Intelligent Building ◽  
Scada System ◽  
Energy Consumption Analysis ◽  
Reduce Energy Consumption

A systematic and detailed introduction of IFIX-based SCADA system in public buildings is given in this paper. SCADA system consisting of on-site computer control system, central operation station and intelligent metering system, makes the energy-management system complete. It reflects the energy consumption status reasonably by energy monitoring, combined metering as well as apportion in terms of acquirement. By means of equipments’ energy consumption analysis, the running mode of equipments is adjusted to reduce energy consumption in buildings. The advanced function of SCADA system, moving forward, should be self-adaptive energy management with the advent of intelligent building.

OPTIMIZATION OF TRAFFIC LIGHTS AT CROSSROADS

2003 ◽  
Vol 14 (05) ◽  
pp. 539-548 ◽  
Author(s):  
DING-WEI HUANG ◽  
WEI-NENG HUANG
Keyword(s):  
Traffic Flow ◽  
Probabilistic Models ◽  
Urban Traffic ◽  
Speed Limit ◽  
Stochastic Noise ◽  
Traffic Light ◽  
Fundamental Diagram ◽  
Traffic Lights ◽  
Signal Period ◽  
Two Parameters

We study the influence of traffic lights on the traffic flow in cities. The urban traffic is simulated in the cellular automata framework. Both the deterministic and probabilistic models are discussed. The effects of speed limit and stochastic noise are analyzed. The operation of a traffic light is characterized by two parameters: signal period and phase allocation. With two traffic lights on road, one more parameter is prescribed: synchronization shift. The results of tuning these parameters are presented in the fundamental diagram. We examine the traffic flow and discuss the choice of optimized setting in different density regions.

Traffic Control at Flagger-Operated Work Zones on Two-Lane Roads

1996 ◽  
Vol 1529 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Shuetsu Shibuya ◽  
Takashi Nakatsuji ◽  
Takashi Fujiwara ◽  
Eiji Matsuyama
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Measurement Data ◽  
Flow Characteristics ◽  
Regression Equation ◽  
Simulation Program ◽  
Work Zones ◽  
Total Delay ◽  
Traffic Lights ◽  
Simulation Results

To clarify the traffic flow characteristics and the signal timings at work zones controlled by flaggers, traffic flows at some work zones were measured. Using the measurement data a computer simulation program based on the microscopic traffic flow model was developed. The simulation results were in accordance with the measured results. Using the simulation program traffic behavior was analyzed for various work-zone conditions under the assumption that no heavy vehicles were mixed with the traffic. First, the delay characteristics at short work zones less than 200 m long were investigated. The summed delay of the acceleration delay and the speed-decrease delay was between 35 and 40 percent of the total delay. This suggests that those delays cannot be ignored in estimates of delay at short work zones. Next, three methods for estimating the green intervals under flaggers' control were presented: nomograph, regression equation, and analytical optimization. The first two methods were obtained directly from the simulation results, whereas the third was derived by describing both the queuing and the acceleration delays with a regression equation and minimizing the total delay. The analytically optimized green intervals diverged from the simulated ones as the traffic became heavier. The signal timings produced by a nomograph and a regression equation can be installed in pretimed traffic lights as a substitute for flaggers, and the optimized ones can be installed in actuated lights combined with traffic detectors.

Energy Efficient Cognitive M2M Communications

2016 ◽  
Vol 8 (3) ◽  
pp. 1-9 ◽  
Author(s):  
S. Alabadi ◽  
Predrag Rapajic ◽  
K. Arshad ◽  
Soheil Rostami
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Cognitive Radio ◽  
Energy Efficient ◽  
Mode Switching ◽  
Sleep Mode ◽  
Reduce Energy Consumption ◽  
Simulation Results ◽  
To Come ◽  
Utilisation Efficiency

The number of Machine-to-Machine (M2M) devices has increased massively in the last few years and will continue to increase in the years to come. Spectrum utilisation efficiency and energy efficiency are the main challenges and design goals for M2M networks. Cognitive radio (CR) is a promising technology that can address these challenges. In this paper, the authors have proposed and developed an energy efficient mechanism to reduce energy consumption in Cognitive M2M (CM2M) networks. Their solution guarantees the throughput and reliability constraints for CM2M Devices (CM2MDs). The proposed mechanism can reduce energy consumption in CM2M networks by exploiting efficient sensing and accessing schemes for CM2MDs. The authors further develop sleep-mode/switching and accessing techniques to work efficiently with the proposed mechanism. The simulation results show that the proposed mechanism guarantees a desirable throughput and reduces overall energy consumption in the network.

scholarly journals Energy Efficient Evolutionary SEP Clustering Protocol for Wireless Sensor Network

2019 ◽  
Vol 5 (1) ◽  
pp. 18-22
Author(s):  
Harshita Chaurasiya ◽  
Dr. Shivnath Ghosh
Keyword(s):  
Energy Consumption ◽  
Sensor Network ◽  
Network Performance ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Algorithm Analysis ◽  
Main Concern ◽  
Election Process ◽  
Reduce Energy Consumption ◽  
Simulation Results

Wireless Sensors Networks (WSN) have become vital in many areas and critical applications. Some applications require a reliable network and less maintenance, especially the power consumption. The standard helps the overall network to reduce worries about the sensors power dissipation. Therefore, the longevity of the network is the main concern of the WSN. In this paper an evolutionary SEP protocol is designed and implemented in order to reduce energy consumption of the cluster based sensor network. For this cluster head election process is performed using genetic algorithm. Analysis and simulation results indicate that the Evolutionary SEP protocol can reduce energy consumption between sensor nodes and increase network performance during data transmission. In this experiment, the MATLAB simulator is used here to evaluate the performance of the proposed Evolutionary SEP algorithm and its comparative analysis of simulation results using an existing cluster protocol named LEACH protocol.

scholarly journals Intelligent Advisory Speed Limit Dedication in Highway Using VANET

2014 ◽  
Vol 2014 ◽  
pp. 1-20 ◽  
Author(s):  
Ali Jalooli ◽  
Erfan Shaghaghi ◽  
Mohammad Reza Jabbarpour ◽  
Rafidah Md Noor ◽  
Hwasoo Yeo ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Control Strategy ◽  
Ad Hoc ◽  
Road Traffic ◽  
Weather Conditions ◽  
Speed Limit ◽  
Road Traffic Safety ◽  
Simulation Results ◽  
Advisory Speed

Variable speed limits (VSLs) as a mean for enhancing road traffic safety are studied for decades to modify the speed limit based on the prevailing road circumstances. In this study the pros and cons of VSL systems and their effects on traffic controlling efficiency are summarized. Despite the potential effectiveness of utilizing VSLs, we have witnessed that the effectiveness of this system is impacted by factors such as VSL control strategy used and the level of driver compliance. Hence, the proposed approach called Intelligent Advisory Speed Limit Dedication (IASLD) as the novel VSL control strategy which considers the driver compliance aims to improve the traffic flow and occupancy of vehicles in addition to amelioration of vehicle’s travel times. The IASLD provides the advisory speed limit for each vehicle exclusively based on the vehicle’s characteristics including the vehicle type, size, and safety capabilities as well as traffic and weather conditions. The proposed approach takes advantage of vehicular ad hoc network (VANET) to accelerate its performance, in the way that simulation results demonstrate the reduction of incident detection time up to 31.2% in comparison with traditional VSL strategy. The simulation results similarly indicate the improvement of traffic flow efficiency, occupancy, and travel time in different conditions.

Naval Energy Management System

2020 ◽  
Vol 26 (3) ◽  
pp. 20-25
Author(s):  
Laurențiu Bogdan Asalomia ◽  
Gheorghe Samoilescu
Keyword(s):  
Energy Consumption ◽  
Power Systems ◽  
New Technologies ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Efficient Management ◽  
Reduce Energy Consumption ◽  
Energy Efficiency Design Index ◽  
Green Ship

AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

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