Innovative Web Applications for Analyzing Traffic Operations

In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional resource and a good visualization tool for traffic operators, managers, and analysts to monitor the congestion, and analyze incidents and signal performance measures. The applications offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these automated and interactive visualization tools is more efficient estimation of the local transport networks' performance, thus facilitating the decision making process in case of emergency events. 

List of contents

Introduction.- Background and Related Work.- Visualization Tools for Traffic Congestion Estimation.- Web Application for Incident Analysis.- Web Application for Measuring Travel-Based Time Signal Performance.- Conclusion. 

Summary

In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional resource and a good visualization tool for traffic operators, managers, and analysts to monitor the congestion, and analyze incidents and signal performance measures. The applications offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these automated and interactive visualization tools is more efficient estimation of the local transport networks’ performance, thus facilitating the decision making process in case of emergency events. 

Product details

• Authors: B Furht, Borko Furht, Natash Petrovska, Natasha Petrovska, Aleksanda Stevanovic, Aleksandar Stevanovic
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2016
• EAN: 9783319333182
• ISBN: 978-3-31-933318-2
• No. of pages: 52
• Dimensions: 153 mm x 235 mm x 5 mm
• Illustrations: VIII, 52 p. 26 illus., 25 illus. in color.
• Series: SpringerBriefs in Computer Science; SpringerBriefs in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Hardware; C, Data Mining, Wissensbasierte Systeme, Expertensysteme, computer science, Data Mining and Knowledge Discovery, Computer Engineering and Networks, Computer Systems Organization and Communication Networks, Computer organization, Expert systems / knowledge-based systems, Traffic Incidents, Traffic Operation Analysis