Yunex Gmbh

Pratik Shivarkar

Priscilla Nagashima Boyd

A system () for detecting speed anomalies in a connected vehicle infrastructure environment includes a plurality of roadside units () installed at different locations within a road network, each roadside unit () including a wireless receiver () and configured to collect, via the wireless receiver (), vehicle traffic data () from vehicles travelling in a road network; a vehicle traffic data evaluation module () with a processor () configured via executable instructions to receive collected vehicle traffic data () from the plurality of roadside units (), the vehicle traffic data () comprising multiple data sets of multiple vehicles, extract first data () from the collected vehicle traffic data (), combine and/or conform the first data () with second data (), create vehicle profiles () based on combined and/or conformed first data () and second data () and road segment profiles () based on clustering and filtering of the vehicle profiles (), compare a first vehicle profile () of the collected vehicle traffic data with a road segment profile (), and detect and output an anomaly () of the first vehicle profile () when the first vehicle profile () is outside a predefined threshold.

System and method for detecting speed anomalies in a connected vehicle infrastructure environment

A system for determining a vehicle queue length in a connected vehicle infrastructure environment includes a vehicle traffic data evaluation module with a processor configured via executable instructions to receive vehicle traffic data of multiple vehicles, the vehicle traffic data comprising basic safety messages, create a geometric representation of a vehicle queue, the vehicle queue comprising one or more segments, each segment comprising a set length, extract data of speed, location, date and time from the basic safety messages, aggregate extracted data with the geometric representation of the vehicle queue, assign a speed value of a basic safety message of a vehicle to a segment when the vehicle is identified to be located within the segment of the vehicle queue, detect a sequence of segments comprising assigned speed values, and determine a vehicle queue length based on the set length of each segment.

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Austin, TX, United States of America

Pratik Shivarkar