Baldwin, MD, United States of America

Thomas Mudd


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2013-2014

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2 patents (USPTO):Explore Patents

Title: Thomas Mudd: Innovator in Traffic Modeling

Introduction

Thomas Mudd is an accomplished inventor based in Baldwin, MD (US). He holds 2 patents that focus on improving traffic routing and scheduling systems. His innovative work aims to enhance the efficiency of delivery vehicles during peak traffic times.

Latest Patents

One of Thomas Mudd's latest patents is a rush hour modeling system designed to modify existing travel time and distance data. This system reflects special traffic conditions, such as those experienced during rush hour. It is configured to receive information defining specific time windows, geographic areas, and road segments where these conditions occur. The system also incorporates travel rules that adjust the travel time and distance matrix to account for the impact of these special conditions on normal travel times. By utilizing this modified travel matrix, existing routing and scheduling systems can plan and schedule routes for delivery vehicles with greater accuracy. Additionally, the modified travel matrix can model traffic conditions in specific geographic areas or on particular road segments.

Career Highlights

Throughout his career, Thomas Mudd has worked with notable companies such as United Parcel Service of America, Inc. and Roadnet Technologies, Inc. His experience in these organizations has contributed to his expertise in traffic modeling and routing systems.

Collaborations

Some of Thomas Mudd's coworkers include Charles Heaps and Clifton Brian Kraisser. Their collaboration has likely played a role in the development of his innovative solutions.

Conclusion

Thomas Mudd's contributions to traffic modeling and routing systems demonstrate his commitment to innovation in the field. His patents reflect a deep understanding of the complexities of traffic conditions and the need for efficient delivery solutions.

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