Real Time Traffic Incident Detection by Using Twitter Stream Analysis

2018 ◽  
pp. 620-626 ◽  
Author(s):  
Maryam Afzaal ◽  
Nazifa Nazir ◽  
Khadija Akbar ◽  
Sidra Perveen ◽  
Umer Farooq ◽  
...  
Keyword(s):  
Real Time ◽  
Incident Detection ◽  
Traffic Incident ◽  
Real Time Traffic

scholarly journals Real-time traffic incident detection using a probabilistic topic model

2015 ◽  
Vol 54 ◽  
pp. 169-188 ◽  
Author(s):  
Akira Kinoshita ◽  
Atsuhiro Takasu ◽  
Jun Adachi
Keyword(s):  
Real Time ◽  
Topic Model ◽  
Incident Detection ◽  
Traffic Incident ◽  
Real Time Traffic ◽  
Probabilistic Topic Model

Entropy-Based City Tunnel Real-Time Traffic Incident Detection Clustering Algorithm

2013 ◽  
Vol 380-384 ◽  
pp. 753-756
Author(s):  
Xiao Feng Li ◽  
Wei Wei Gao ◽  
Xue Mei Wang
Keyword(s):  
Real Time ◽  
Clustering Algorithm ◽  
Spatial Clustering ◽  
Entropy Change ◽  
Practical Significance ◽  
Incident Detection ◽  
Data Set ◽  
Traffic Incident ◽  
Real Time Traffic ◽  
The City

The use of spatial clustering technology has important practical significance to obtain useful information. According to the characteristics of city tunnel real-time traffic ,then, put forward ECRT (Entropy-based City Tunnel Real-time), the object associated with the city tunnel as real-time traffic properties to calculate the entropy of information between the city tunnel, based on information entropy change to achieve real-time traffic urban tunnel clustering. Algorithm used in the actual data set ECRT test. The results showed that the algorithm ECRT is effective.

scholarly journals On fine-grained geolocalisation of tweets and real-time traffic incident detection

2019 ◽  
Vol 56 (3) ◽  
pp. 1119-1132 ◽  
Author(s):  
Jorge David Gonzalez Paule ◽  
Yeran Sun ◽  
Yashar Moshfeghi
Keyword(s):  
Real Time ◽  
Incident Detection ◽  
Fine Grained ◽  
Traffic Incident ◽  
Real Time Traffic
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