Real-time traffic incident detection using a probabilistic topic model

Real-time traffic incident detection using a probabilistic topic model

Traffic congestion occurs frequently in urban settings, and is not always caused by traffic incidents. In this paper, we propose a simple method for detecting traffic incidents from probe-car data by identifying unusual events that distinguish incidents from spontaneous congestion. First, we introduce a traffic state model based on a probabilistic topic model to describe the traffic states for ...

Traffic Incident Detection Using Probabilistic Topic Model

Tra c congestion is quite common in urban settings, and is not always caused by tra c incidents. In this paper, we propose a simple method for detecting tra c incidents by using probe-car data to compare usual and current tra c states, thereby distinguishing incidents from spontaneous congestion. First, we introduce a tra c state model based on a probabilistic topic model to describe tra c stat...

A Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set

Advanced Driver Assistance Systems (ADAS) benefit from current infrastructure to discern environmental information. Traffic signs are global guidelines which inform drivers from near characteristics of paths ahead. Traffic Sign Recognition (TSR) system is an ADAS that recognize traffic signs in images captured from road and show information as an adviser or transmit them to other ADASs. In this...

A Probabilistic Model of Real Time Event Detection and Reporting

-A probabilistic model provides a way to detect multiple instances of real time events and to estimate the location of targeted event like earthquakes, typhoons, traffic jams. For this, two models have been proposed named temporal and spatial models to detect real time events and estimate the targeted event locations respectively by dealing with sensor reading appropriately. our work is based o...

Real-time Incident Detection Using Social Media Data