Reasoning Traffic Pattern Knowledge Graph in Predicting Real-Time Traffic Congestion Propagation

Real-Time Traffic Congestion Prediction

ions to meet these challenges. Data Intensive Network Organization Traffic prediction networks require a combination of big data and large number of devices to combine semi-global historic traffic information and on-line vehicle updates. This requires the convergence of approaches used by the datacenter community and real-time community. Such dynamical systems with real-time constraints require...

Predicting Traffic Crashes Using Real - Time Traffic Speed Patterns

PREDICTING TRAFFIC CRASHES USING REAL-TIME TRAFFIC SPEED PATTERNS Mohamed Abdel-Aty", Anurag Pande of the recent advances in traffic surveillance technology and concern over there have been very few research efforts between the real-time flow and crash occurrence. This aims at the identification the in the loop detector data. which potentially nr"""'I"'I'" traffic crashes. This would have impli...

Predicting Traffic Congestion with Driving Behavior

A Real-time Traffic Congestion Estimation Approach from Video Imagery

This paper presents a novel approach to detect traffic congestion on roads in a natural open world scene observed from TV cameras placed on poles or buildings. In this system, three algorithms are proposed to estimate the road status. They are based on background subtraction, frame differencing and time-spatial image respectively. The experimental results on real road traffic congestion estimat...

Using Real-Time Road Traffic Data to Evaluate Congestion

Providing citizens with accurate information on traffic conditions can encourage journeys at times of low congestion, and uptake of public transport. The TIME project (Transport Information Monitoring Environment) has focussed on urban traffic, using the city of Cambridge as an example. We have investigated sensor and network technology for gathering traffic data, and have designed and built re...