Eldersburg, MD, United States of America

Charles Heaps


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: The Innovations of Charles Heaps

Introduction

Charles Heaps is an accomplished inventor based in Eldersburg, MD (US). He has made significant contributions to the field of traffic modeling and routing systems. With a total of 2 patents to his name, Heaps has developed innovative solutions that address the challenges of rush hour traffic.

Latest Patents

One of Heaps' latest patents is a rush hour modeling system designed for routing and scheduling. This system modifies existing travel time and distance data to reflect 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 reflect the impact of these special conditions. By modifying a travel time/distance matrix, the system allows existing routing and scheduling systems to plan and schedule delivery routes more accurately. Additionally, the modified travel matrix can be utilized to model traffic conditions in specific geographic areas or on particular road segments.

Career Highlights

Throughout his career, Charles Heaps has worked with notable companies, including 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 technologies.

Collaborations

Heaps has collaborated with several professionals in his field, including Clifton Brian Kraisser and Ralph Clementi. These collaborations have further enhanced his innovative approaches to traffic management.

Conclusion

Charles Heaps is a notable inventor whose work in rush hour modeling has the potential to transform traffic routing and scheduling. His contributions are significant in improving the efficiency of delivery systems during peak traffic times.

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