Satish Chandra Jha - Portland OR, US Andradige Silva - Portland OR, US Suman A. Sehra - Folsom CA, US Leonardo Gomes Baltar - Muenchen, BY Vesh Raj Sharma Banjade - Portland OR, US
International Classification:
H02J 3/38 G05B 13/02
Abstract:
Systems and techniques for power management for a roadside unit (RSU) are described herein. In an example, a system may include a processor and memory coupled to the processor with instructions that cause the processor to receive multiple input factors. The multiple input factors corresponding an environmental condition at a location at which the RSU is located and at least one of a power saving preference for the RSU, a green energy usage preference for the RSU, a type of energy source available to the RSU, a quality of service requirement for the RSU, and a capability of the RSU. The processor may transmit a control packet, including parameters to control a mixture of green energy use by the RSU from a green energy power source and traditional energy use by the RSU from a traditional energy power source to the RSU.
Collaborative Detection And Avoidance Of Phantom Traffic Jams
Satish Chandra Jha - Portland OR, US Vesh Raj Sharma Banjade - Portland OR, US Suman A. Sehra - Folsom CA, US Leonardo Gomes Baltar - Munchen, DE
International Classification:
G08G 1/01 G08G 1/0967 G08G 1/052 G08G 1/04
Abstract:
Systems and techniques for collaborative detection and avoidance of phantom traffic jams are described herein. Sensor data for a segment of a roadway and vehicle communication data for vehicles travelling on the segment may be obtained. A vehicle density may be calculated for the segment using the sensor data and the vehicle communication data. The sensor data and the vehicle communication data may be monitored for a traffic perturbation based on the calculated vehicle density. A mitigation instruction may be selected for the traffic perturbation upon detection of the traffic perturbation. The mitigation instruction may be transmitted to a vehicle or group of vehicles traveling on the roadway. In an example where infrastructure support is available, it may be determined that a roadside communication device is not available and a first vehicle may transmit a decentralized environmental notification message to a second vehicle
Cooperative Adaptive Cruise Control (Cacc) System For Control Of Connected And Autonomous Vehicle (Cav) Platoons
- Santa Clara CA, US Leonardo Gomes Baltar - Muenchen, DE May Wu - Portland OR, US Suman A. Sehra - Folsom CA, US
International Classification:
G08G 1/00 B60W 30/16 B60W 30/09
Abstract:
Techniques are disclosed to increase the safety of vehicles travelling in a vehicle platoon. These techniques include the utilization of a comprehensive safety framework such as a safety driving model (SDM) for the platoon control systems. In contrast to the conventional approaches, the use of the SDM model allows for platoon vehicle control systems to consider the acceleration/deceleration capabilities of the vehicles to calculate minimum safe longitudinal distances between the platoon vehicles. The disclosed techniques may utilize the periodicity of platoon messages as well as other parameters to improve upon platoon vehicle control and safety.
Disclosed are embodiments that provide a transportation environment data service. The transportation environmental data service includes harvesting services that crawl roadside infrastructure solutions to obtain sensor data collected from sensors physically positioned at the roadside infrastructure. In some cases, the roadside infrastructure solutions perform additional processing on the sensor data. For example, some roadside infrastructure performs object detection and/or object recognition. When encountering these solutions, the edge or harvesting service also collects the object detection and/or object recognition information. Customers can subscribe to various data services provided by the transportation environment data service. For example, some subscribers indicate an interest in any updates of environmental data for a particular region. Other subscribers are interested in video data associated with any vehicular accidents detected by the transportation environment data service.
Monitoring System, Apparatus Of A Vehicle, Apparatus Of A Roadside Unit, Traffic Infrastructure System, And Methods Thereof
- Santa Clara CA, US Rita H. WOUHAYBI - Portland OR, US Marcos E. CARRANZA - Portland OR, US Suman A. SEHRA - Folsom CA, US
International Classification:
G08G 1/01 G07C 5/06 G05D 1/02
Abstract:
Various aspects are related to an apparatus of a traffic infrastructure system including one or more processors configured to: obtain estimation data, the estimation data representing one or more estimations generated by a roadside unit of one or more traffic related characteristics, obtain estimation reference data, the estimation reference data representing one or more reference estimations associated with the one or more estimations represented by the estimation data, generate roadside unit validation data based on validating the one or more estimations represented by the estimation data based on the estimation reference data, the roadside unit validation data representing one or more results of the validation of the one or more estimations.
Intel Corporation Mar 2016 - Apr 2018
Product Manager and Iot Solution Architect
Intel Corporation Mar 2016 - Apr 2018
Global Director, Smart Cities Market Development
Intel Corporation Mar 2013 - Feb 2016
Senior Client Platform Security Technologist
Intel Corporation Mar 2013 - Feb 2016
Leader, Diversity Employee Resource Group
Intel Corporation Feb 2011 - Feb 2013
Senior Tme | Platform Security Enabling
Education:
California State University - Sacramento 2014 - 2015
Master of Business Administration, Masters, Business Administration, Management, Business Administration and Management
California State University - Sacramento 2005 - 2007
Master of Science, Masters, Electronics Engineering
Thapar Institute of Engineering & Technology 2001 - 2004
Bachelor of Engineering, Bachelors, Communication, Electronics
Our Lady of Fatima Convent High School 1988 - 1998
Skills:
Debugging Linux Semiconductors Testing Project Management Verilog Eda Cross Functional Team Leadership Processors Security Intel Computer Security Soc Hardware Integration Management Ubuntu C Embedded Systems Leadership Fedora Rtl Design Vhdl Strategy Mobile Devices
Interests:
Aircrafts Social Services Children To Name A Few Economic Empowerment Education Environment Cricket Photography Science and Technology Automobiles Drag Racing Animal Welfare Music Etc Health
Languages:
English Hindi Punjabi
Certifications:
License 1606532 License Comp001020390811 Pragmatic Marketing Professional Level 3 Project Management Professional (Pmp®) Comptia® Security+™ Professional Pragmatic Marketing Professional Level 6 Executive and Leadership Communication Project Management Institute, License 1606532 Comptia, License Comp001020390811 Pragmatic Marketing
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