bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2013

Editorial Calendar 2013

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents


Best Articles 2011




Vol. 157, Issue 10, October 2013, pp. 141-146




Research on Adaptive Crossroads Control Model Based on Wireless Sensor Networks
1,2 Musong GU, 1 Yusong YAN, 1 Yong YANG, 1 Hongwei WANG, 1 Long WEI, 3 Zhen ZUO

1 College of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610000, China

2 College of Information Science and Technology, Chengdu University, Chengdu 610106, China

3 The Chuandongbei Gas Project, Unocal East China Sea, Ltd., Chengdu 610021, China

1 Tel.: (86) 139 8213 8748

1 E-mail: gms2020@163.com


Received: 13 August 2013   /Accepted: 25 September 2013   /Published: 31 October 2013

Digital Sensors and Sensor Sysstems


Abstract: Traffic information collection and traffic flow control around the crossroads are main topics of current traffic related research. The most commonly used method of traffic signal control at present is fixed-time control which only applies to small traffic flow circumstances with low efficiency. Therefore, we propose a new method which is an adaptive crossroads control model based on Wireless Sensor Network, to accurately monitor the traffic flow around the crossroads. Chemical Reaction Optimization is used to optimize the proposed new model and this optimized model is used for real-time traffic control. We simulated the optimized model and research results show that the new model can significantly decrease vehicles' average delay time and effectively improve the traffic capacity.


Keywords: Traffic information collection, Traffic flow control, Wireless sensor network, Chemical reaction optimization.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Download <here> the Library Journal Recommendation Form



Read more about Wireless Sensor Networks






1999 - 2018 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn