Performance Comparison on Traffic Control Methods for In-Vehicle Ethernet Networks

2013 ◽  
Author(s):  
Giorgio Malaguti ◽  
Massimo Dian ◽  
Massimiliano Ruggeri
Keyword(s):  
Traffic Control ◽  
Performance Comparison ◽  
Control Methods ◽  
Ethernet Networks

scholarly journals An autonomous vehicle sequencing problem at intersections: A genetic algorithm approach

2013 ◽  
Vol 23 (1) ◽  
pp. 183-200 ◽  
Author(s):  
Fei Yan ◽  
Mahjoub Dridi ◽  
Abdellah El Moudni
Keyword(s):  
Genetic Algorithm ◽  
Traffic Control ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Control Methods ◽  
Traffic Condition ◽  
Sequencing Problem ◽  
Genetic Algorithm Approach ◽  
Short Time ◽  
Intersection Management

This paper addresses a vehicle sequencing problem for adjacent intersections under the framework of Autonomous Intersection Management (AIM). In the context of AIM, autonomous vehicles are considered to be independent individuals and the traffic control aims at deciding on an efficient vehicle passing sequence. Since there are considerable vehicle passing combinations, how to find an efficient vehicle passing sequence in a short time becomes a big challenge, especially for more than one intersection. In this paper, we present a technique for combining certain vehicles into some basic groups with reference to some properties discussed in our earlier works. A genetic algorithm based on these basic groups is designed to find an optimal or a near-optimal vehicle passing sequence for each intersection. Computational experiments verify that the proposed genetic algorithms can response quickly for several intersections. Simulations with continuous vehicles are carried out with application of the proposed algorithm or existing traffic control methods. The results show that the traffic condition can be significantly improved by our algorithm.

Advanced traffic control methods for network management

1990 ◽  
Vol 28 (10) ◽  
pp. 82-88 ◽  
Author(s):  
K. Mase ◽  
H. Yamamoto
Keyword(s):  
Network Management ◽  
Traffic Control ◽  
Control Methods

Performance Comparison of Control Methods for Tankless Water Heaters

2010 ◽  
Vol 16 (5) ◽  
pp. 677-690 ◽  
Author(s):  
David Yuill ◽  
Andrew Coward ◽  
Gregor Henze
Keyword(s):  
Performance Comparison ◽  
Control Methods ◽  
Water Heaters

scholarly journals Intelligently managing mixed traffic flows at intersections Proposal of a platoon-based round-robin algorithm with priorities

2021 ◽  
Author(s):  
Hossein Moradi ◽  
Sara Sasaninejad ◽  
Sabine Wittevrongel ◽  
Joris Walraevens
Keyword(s):  
Traffic Control ◽  
Autonomous Vehicles ◽  
State Of The Art ◽  
Control Methods ◽  
Mixed Traffic ◽  
Traffic Flows ◽  
Traffic Conditions ◽  
Advisory System ◽  
Intersection Control ◽  
Integration Effort

<p>The importance of addressing the complexities of mixed traffic conditions by providing innovative approaches, models, and algorithms for traffic control has been well highlighted in the state-of-the-art literature. Accordingly, the first aim of this study has been to enhance the traditional intersection control methods for the incorporation of autonomous vehicles and wireless communications. For this purpose, we have introduced a novel framework labeled by “PRRP-framework”. The PRRP-framework also enables flexible preferential treatments for some special vehicles within an implementable range of complexity while it addresses the stochastic nature of traffic flow. Moreover, the PRRP-framework has been coupled with a speed advisory system that brings complementary strengths leading to even better performance. Further simulations reported in this manuscript, confirmed that such an integration effort is a prerequisite to move towards sustainable results.<br></p> <p> </p>

Using Fuzzy Control Methods for Increasing the Energy Efficiency of Buildings

2015 ◽  
Vol 3 (4) ◽  
pp. 1-22 ◽  
Author(s):  
Vassiliki Mpelogianni ◽  
Peter P. Groumpos
Keyword(s):  
Energy Efficiency ◽  
Performance Comparison ◽  
Fuzzy Cognitive Maps ◽  
Environmental Data ◽  
Future Research ◽  
Control Methods ◽  
Building Energy Management ◽  
Efficiency Measures ◽  
First Time

The energy sector worldwide faces significant challenges that everyday become even more acute. Innovative technologies and energy efficiency measures are nowadays well known and widely spread, and the main issue is to identify the more effective and reliable in the long term. In order to do so the decision maker has to compensate many factors. This article investigates the feasibility of the application of new intelligent control methods in modeling and controlling the performance of a building. For the first time a performance comparison of Fuzzy Logic vs Fuzzy Cognitive Maps (FCMs) theories is performed and interesting results are presented. Multi-level intelligent controllers to manage the various parts of a building's automation and increase its energy efficiency are presented. For the first time the Building Energy Management System has been modeled using FCMs. Simulation studies with real environmental data have been performed and useful results have been obtained and discussed. Challenging future research topics are provided.

Delays in the Flow of Air Traffic

1948 ◽  
Vol 52 (448) ◽  
pp. 251-258 ◽  
Author(s):  
E. G. Bowen ◽  
T. Pearcey
Keyword(s):  
Traffic Control ◽  
Weather Conditions ◽  
Air Traffic ◽  
High Density ◽  
Control Methods ◽  
Distant Point ◽  
Civil Aircraft ◽  
Bad Weather

It is becoming recognised that before civil aircraft can operate at high density, the most important problem to be solved is that of traffic control. Methods exist by which a single aircraft can navigate from a distant point to an airport and let down to a safe landing under bad weather conditions. Difficulties arise when several aircraft are involved at once and long delays can occur in the neighbourhood of airports carrying high density traffic. In this paper an analysis is made of the traffic problem in an attempt to clarify some of the factors involved.

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