TY  - JOUR
T1  - Metropolitan Traffic Research and Analysis
AU - Abhishek, Kumar AU - Kashyap, Rohit AU - Upadhyay, Divya AU - Singh, M.P. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 24
SP  - 5106
EP  - 5119
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.5106.5119
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.5106.5119
KW  - Cyber-social system
KW  -event extraction
KW  -event correlation
KW  -twitter mining
KW  -geo-fencing
AB  - Metropolitan traffic research and analysis is a heuristic based system that analyses traffic congestion in metropolitan cities of India like Delhi using input from twitter feeds. It provides information regarding the level of congestion between source and destination in a route and correlations among events that cause traffic. The inputs from cyber social system are analyzed according to different locations of the city listed in a separate record. From the data collected, we extract crucial information pertaining to analysis of congestion patterns. Using the obtained results, we analyze the traffic and generate a heuristic based opinion. Bayesian networks and relevant histograms are used for finding out the relationships and patterns among variables involved and to answer probabilistic queries about them and further for graphical representation of evaluated patterns.
ER  -