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Sensor Web Design Studies for Realtime Dynamic Congestion Pricing
Halem, Milton   Patwardhan, Anand   Dornbush, Sandor   Seablom, Michael   Yesha, Yelena  
Dept. of Comput. Sci. & Electr. Eng., UMBC, Baltimore, MD;

This paper appears in: Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference on
Publication Date: 19-23 March 2007
On page(s): 413-418
Location: White Plains, NY,
ISBN: 0-7695-2788-4
INSPEC Accession Number: 9463832
Digital Object Identifier: 10.1109/PERCOMW.2007.106
Current Version Published: 2007-04-02

Abstract
Traffic congestion is a multi-billion dollar national problem and is worsening every year with population growth and increase in freight traffic. We present a model for realistic simulation studies to mitigate congestion in urban areas using dynamic congestion pricing on express toll lanes. Specifically, we identify and address the design issues needed to develop a real time event driven sensor Web observation system for traffic monitoring that provides dynamic congestion pricing. To assess the feasibility of this sensor Web system, we are in the process of conducting simulation studies based on real data for various system configurations to validate the mitigating impact of dynamic congestion pricing on intermodal freight flow to and from the ports in urban areas. In this paper, we focus on freight flow into the Baltimore corridor from its ports

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