Traffic Incident Detection Algorithm
Incident and Traffic-Bottleneck Detection Algorithm in High-Resolution Remote Sensing Imagery
... solve traffic congestion is to detect the incident state of a ...road traffic monitoring aimed at the acquisition and analysis of remote sensing ...vehicle detection and incident ...
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Traffic Incident Detection using Cameras
... single incident is going on in a particular area for quite some ...that incident, they might come up as different incidents even though it is the same ...The algorithm is as ...
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Traffic Incident Detection Based on the Grid Model
... based algorithm to detect highway traffic incidents, and adopted the membership function and fuzzy rules to detect and assess traffic flow ...high detection rate under uniform traffic ...
7
Highway traffic incident detection based on BPNN
... the detection algorithm developed till now, it can be classified into four kinds: Pattern Recognition Algorithm, Statistical Algorithm, Catastrophe Theory Algorithm and Neural Network ...
8
MODIFIED SVD PCA TECHNIQUE FOR TRAFFIC INCIDENT DETECTION
... time traffic incident detection is acute for increasing safety and mobility on ...been incident detection approaches built on traffic behavior or mathematical models projected ...
5
An Application of Fuzzy Logic in Urban Traffic Incident Detection
... classify traffic status as normal and ...the algorithm used four input variables : queue length, travel time, speed and ...the algorithm established the core of a video-based automatic ...
132
Database-Centered Architecture for Traffic Incident Detection, Management, and Analysis
... the algorithm and of the monitored environment) which are physically distributed across multiple hosts, but the distributed database makes it appear as if this state is locally available and the distributed ...
7
The use of simulation in the design of a road transport incident detection algorithm
... ‘typical’ traffic situation within the test network, real-life U06 messages from all the detectors in the test network were collected for a series of typical morning peak periods (7:30 to 09:30) each independently ...
13
On fine-grained geolocalisation of tweets and real-time traffic incident detection
... 3. Fine-Grained Geolocalisation Approach Our proposed approach consists of three stages. First, we divide the geo- graphical area of interest into a grid of 1 km squared areas, and associate each geotagged tweet to an ...
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On fine-grained geolocalisation of tweets and real-time traffic incident detection
... Our proposed approach consists of three stages. First, we divide the geo- graphical area of interest into a grid of 1 km squared areas, and associate each geotagged tweet to an area based on its location. As discussed in ...
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Real-time traffic incident detection using a probabilistic topic model
... detecting traffic incidents in real time by identifying abnormal car movements and distinguishing such movements from those occurring in spontaneous ...current traffic states (CTS) and usual traffic ...
20
Hybrid state estimation applications for joint traffic monitoring and incident detection
... the traffic density in the Lincoln Tunnel in New York City. The EKF algorithm employs linearization of the system ...for traffic state reconstruction [9], but has a higher computational ...or ...
138
Automatic incident detection
... 3.4: Algorithm Flow to detect congestion using IQD method using only ...Tree Algorithm Non-recurrent congestion detection can be considered as a classification problem where each traffic feed ...
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Traffic incident detection using inrix data
... to traffic incidents such as crash, overturned trucks or stalled ...of traffic incidents and do not detect the incidents on ...fast incident detection on the ...this incident ...
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Traffic Incident Detection using Weighted Durable Quries
... Durable queries are used for historical time series analysis. Durable top-k (DTop-k) and nearest neighbor (DkNN) queries are used to evaluate time printed progression of standards or position. Indexing and query ...
5
FLEXSYS Motion-based Traffic Analysis and Incident Detection
... of traffic flow has been a lively subject of research. The traffic flow theory is a new science, which has addressed questions related to understanding traffic processes and to optimizing these ...
17
Traffic Incident Response
... an incident after it is detected and how the response is coordinated among various agencies and organizations with responsibility for or involvement in responding to ...efforts, traffic control at the ...
59
Traffic Incident Management
... Identify the safety concerns related to responding to an incident involving a vehicle fire. Describe how to identify what hazardous material is being transported[r] ...
57
Adaptation of a Deep Learning Algorithm for Traffic Sign Detection
... (SSD) algorithm mod- ified for tra ffi c sign detection is ...object detection applications is using a deeper and more sophisticated base ...the detection time is too high that makes them not ...
55
Airport Traffic Conflict Detection and Resolution Algorithm Evaluation
... ATCAM algorithm issued CAs during the departure with crossing taxi traffic scenario after a WA was issued and the aircraft aborted the ...IA algorithm issued TIs when in position and holding or just ...
189