Company Filing History:
2 out of 2 
2 out of 73 
1 out of 1 Years Active: 2005-2021
Title: Amnon Lotem: Innovator in Vehicular Traffic Data Processing
Introduction
Amnon Lotem is a notable inventor based in Hod Hasharon, Israel. He has made significant contributions to the field of vehicular traffic data modeling and processing. With a total of 6 patents to his name, Lotem's work focuses on enhancing the efficiency and accuracy of traffic data analysis.
Latest Patents
One of Lotem's latest patents is a method and system for modeling and processing vehicular traffic data and information. This innovative approach involves transforming a spatial representation of a road network into a network of spatially interdependent and interrelated oriented road sections. The process includes acquiring various vehicular traffic data from multiple sources, prioritizing and filtering this data, and calculating a mean normalized travel time (NTT) value for each oriented road section. Furthermore, it fuses partial traffic situation pictures to generate a complete current vehicular traffic situation picture, ultimately predicting future traffic scenarios and providing various traffic-related service applications to end users.
Career Highlights
Throughout his career, Amnon Lotem has worked with prominent companies in the industry, including Inrix Global Services Limited and Inrix Inc. His expertise in traffic data processing has positioned him as a key player in the development of innovative solutions for vehicular traffic management.
Collaborations
Lotem has collaborated with notable professionals in his field, including Israel Feldman and Arie Trinker. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.
Conclusion
Amnon Lotem's contributions to the field of vehicular traffic data processing demonstrate his innovative spirit and commitment to improving traffic management systems. His patents reflect a deep understanding of the complexities involved in traffic data analysis and offer valuable solutions for end users.