Evaluation of Sensys wireless vehicle detection system results from adverse weather conditions

Juan C. Medina, R. F. Benekohal, Ali Hajbabaie

Research output: Book/Report/Conference proceedingTechnical report


The performance of the Sensys wireless vehicle detection system was evaluated under adverse weather conditions (winter and rain) at a signalized intersection and in close proximity to the railroad tracks at a grade crossing. At the intersection stop bar zones, the overall frequency of false calls due to vehicles in the adjacent lanes ranged from 7.7% to 15.4% per lane in the winter data and between 2.6% and 6.2% in the rain data. In addition, the frequency of multiple activations due to a single vehicle (flickering false calls) ranged from 4.2% to 7.2% in the winter data and from 5% to 7.7% in the rain data. There were only seven stuck-on calls, two missed calls, and no dropped calls. At the intersection advance zones, frequency of missed vehicles traveling between the lanes ranged between 0.4% and 5.4% in the winter condition, and between 0.8% and 9.7% in the rain condition. A low percentage of vehicles traveling inside the marked lane (0%-1.2% per lane) were missed. False calls ranged on average from 1% to 4%. No stuck-on calls or dropped calls were found at the advance zones. At the railroad grade crossing, the trains generated multiple activations in the Sensys detectors as they passed the crossing. After they departed, the sensors terminated the activations except in a few cases, where the calls remained stuck-on for periods of time. In addition, false calls were the most common type of detection error, which represented 56% to 60% of the total number of calls in the left-turn lane, and 13% to 14% in the through lane. Most of the false calls in the left-turn lane were caused by vehicles traveling in the opposing direction.
Original languageEnglish (US)
Place of PublicationUrbana, Ill
PublisherIllinois Center for Transportation
Number of pages27
StatePublished - 2011

Publication series

NameICT Series


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