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For the Inventor, By the Inventor

Berkeley, CA, United States of America

Yashar Zeiynali Farid

This inventor holds 26 USPTO granted patents and 22 published patent applications, primarily in Connected Vehicle Technology. Top assignees: Toyota Motor Engineering & Manufacturing North America, Inc., Toyota Jidosha Kabushiki Kaisha, Mcmaster University. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yashar Zeiynali Farid. Retrieved from https://idiyas.com/inventor/yashar-zeiynali-farid

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 26 

% Patents Active = 100.0

Average Co-Inventor Count = 3.1

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • Berkeley, CA (US) (2023)
  • Mountain View, CA (US) (2024)

Company Filing History:

goldMedal25 out of 4,366 
 
Toyota Motor Engineering & Manufacturing North America, Inc.
 patents
silverMedal17 out of 38,912 
 
Toyota Jidosha Kabushiki Kaisha
 patents
bronzeMedal1 out of 272 
 
Mcmaster University
 patents
4. 1 out of 3 
 
Toyota Motor Engineering & Manufacturing N.a. Inc.
 patents
where one patent can have more than one assignee

Years Active: 2023-2026

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Areas of Expertise:
Lane Change Detection
Traffic Management
Cooperative Maneuvering
Connected Vehicles
Traffic Flow Regulation
Cloud-Based Systems
Reinforcement Learning
Traffic Condition Monitoring
Vehicle Sensor Data
Adaptive Management
Multi-Lane Sensing
Traffic Signal Estimation
26 patents (USPTO):Explore Patents
1. 12735043 - Detecting lane changes based on collective motion pattern mismatch (2026-09-15),
2. 12715436 - Systems and methods for vehicles navigating roads using a control model trained with residual policies (2026-08-25),
3. 12705973 - Methods and systems for estimating lane-level traffic jam using lane change signals of connected vehicles (2026-08-11),
4. 12640040 - Systems and methods for lane identification using connected vehicles data on horizontal curves (2026-05-26),
5. 12626592 - Cloud-based stop-and-go mitigation system with multi-lane sensing (2026-05-12),
6. 12617422 - Systems, methods, and non-transitory computer-readable medium for prioritizing a plurality of maneuver messages (2026-05-05),
7. 12578734 - Cooperative management strategies for unsafe driving (2026-03-17),
8. 12539883 - Adaptive vehicle and traffic management considering compliance rates (2026-02-03),
9. 12525123 - Systems, methods, and non-transitory computer-readable mediums for estimating a residual time of a current traffic signal (2026-01-13),
10. 12525070 - Selective information gathering system for multiple vehicles (2026-01-13),
11. 12518620 - Detecting lane-level traffic using connected vehicle data without lane identification information (2026-01-06),
12. 12511993 - Systems and methods for configuring a hierarchical traffic management system (2025-12-30),
13. 12505740 - Systems and methods for planning lane-change actions considering traffic stability in target lane (2025-12-23),
14. 12451005 - Systems, methods, and non-transitory computer-readable mediums for estimating a position of a tail of a vehicle queue (2025-10-21),
15. 12392639 - System and method to generate a lane-level traffic map using vehicle sensor data (2025-08-19),

Title: Yashar Zeiynali Farid: Innovator in Vehicle Queue Estimation and Traffic Mapping

Introduction

Yashar Zeiynali Farid is a prominent inventor based in Berkeley, California. He has made significant contributions to the field of vehicle technology, particularly in estimating vehicle queue positions and generating lane-level traffic maps. With a total of 13 patents to his name, Farid's work is at the forefront of innovation in automotive systems.

Latest Patents

Farid's latest patents include systems and methods for estimating the position of a tail of a vehicle queue. These methods involve determining an initial estimated position of the tail relative to the beginning of a road section using vehicle sensors. The process includes estimating the distance between a preceding vehicle and the tail of the queue based on driving data, as well as calculating the final position of the tail. Another notable patent focuses on generating a lane-level traffic map using vehicle sensor data. This system utilizes radar sensor information to create real-time traffic maps that can be shared with other vehicles, enhancing the capabilities of autonomous vehicle systems.

Career Highlights

Throughout his career, Yashar Zeiynali Farid has worked with notable companies such as Toyota Motor Engineering & Manufacturing North America, Inc. and Toyota Jidosha Kabushiki Kaisha. His experience in these organizations has allowed him to develop and refine his innovative ideas in vehicle technology.

Collaborations

Farid has collaborated with talented individuals in the field, including Kentaro Oguchi and Abdul Rahman Kreidieh. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Yashar Zeiynali Farid is a distinguished inventor whose work in vehicle queue estimation and traffic mapping is paving the way for advancements in automotive technology. His contributions are essential for the future of autonomous vehicles and traffic management systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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