A Survey of Abnormal Traffic Information Detection and Transmission Mechanisms in VSNs <s> Incident Detection. <s> We introduce NOTICE, a secure, privacy-aware architecture for the notification of traffic incidents. Using sensor belts embedded in the roadway, traffic-related messages and advisories are carried between belts by passing cars. NOTICE moves the responsibility for making decisions about traffic- related information dissemination to the infrastructure rather than leaving those decisions with the vehicles, which may have incomplete or incorrect knowledge. Extensive simulation showed that NOTICE can provide "up-to-the-minute" notification of road incidents. <s> BIB001 </s> A Survey of Abnormal Traffic Information Detection and Transmission Mechanisms in VSNs <s> Incident Detection. <s> Although vehicular ad hoc networks (VANETs) started mainly for safety applications, surprisingly very few work have been done in VANETs for automatic incident detection (AID) while most of the research went for developing routing protocols and privacy techniques. On the other hand, it is fundamentally difficult for most of the existing AID techniques to detect incidents in non dense traffic especially for those incidents that do not block all lanes. In this paper, we introduce a novel probabilistic automatic incident detection technique for non dense traffic flow based on Bayesian theory. <s> BIB002 </s> A Survey of Abnormal Traffic Information Detection and Transmission Mechanisms in VSNs <s> Incident Detection. <s> In this article, e-NOTIFY system is presented, which allows fast detection of traffic accidents, improving the assistance to injured passengers by reducing the response time of emergency services through the efficient communication of relevant information about the accident using a combination of V2V and V2I communications. The proposed system requires installing OBUs in the vehicles, in charge of detecting accidents and notifying them to an external CU, which will estimate the severity of the accident and inform the appropriate emergency services about the incident. This architecture replaces the current mechanisms for notification of accidents based on witnesses, who may provide incomplete or incorrect information after a long time. The development of a low-cost prototype shows that it is feasible to massively incorporate this system in existing vehicles. <s> BIB003
Incident detection puts more energy on perceiving and preventing traffic incident event in advance, so as to assist building an in car safety warning and driving system. As for the technology implementation, the e-NOTIFY system BIB003 uses the on board units (OBUs) to gather and process dangerous information and make final decisions. The NOTICE system BIB001 firstly embeds sensor belts in the road at regular intervals then detects the abnormal event based on the communication between sensor belts. And each belt consists of a collection of piezoelectric pressure sensors, a simple aggregation and fusion engine, and a few small transceivers. In BIB002 , a novel probabilistic automatic incident detection technique is presented for nondense traffic flow based on Bayesian theory. And it utilizes the communication between RSUs and sensor belts to detect the incidents. International Journal of Distributed Sensor Networks 5