Traffic Event Related Blog Post Classification by Using Traffic Related Named Entities

Date

2019-02-28

Author

Dundar Unsal, A.
Tüydeş Yaman, Hediye
Karagöz, Pınar

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

97
views

0
downloads

Real-time monitoring of traffic flow requires physical sensors to be deployed on road networks. Development of such systems might be impractical due to deployment costs of sensors on large scale networks. This study presents a method to extract traffic event related tweets from social streams in order to employ users of social media as human sensors of traffic conditions or events. The proposed method offers a cost effective way of monitoring events or conditions affecting traffic flow. The method consists of three steps. The first step involves natural language processing tasks for preprocessing the blog posts. The second step extracts a set of traffic event related named entities from blog post texts using the model that is constructed with Conditional Random Fields. The third step includes classification in order to detect blog posts reporting events or conditions affecting traffic flow. The proposed method is experimentally evaluated on a set of tweets collected in one month under varying feature sets. The results show the potential of the approach for traffic monitoring and reveals that the use of traffic related named entities increases the classification accuracy.

Subject Keywords

Blogs, Roads, Accidents, Monitoring, Sensors

URI

https://hdl.handle.net/11511/57000

DOI

https://doi.org/10.1109/isc2.2018.8656940

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Mobile traffic modelling for wireless multimedia sensor networks in IoT Al-Turjman, Fadi; Radwan, Ayman; Mumtaz, Shahid; Rodriguez, Jonathan (2017-11-01) Wireless sensor networks suffer from some limitations such as energy constraints and the cooperative demands essential to perform multi-hop geographic routing for real-time applications. Quality of Service (QoS) depends to a great extent on offering participating nodes an incentive for collaborating. In this paper, we present a novel traffic model for a new-generation of sensor networks that supports a wide range of communication-intensive real-time multimedia applications. The model is used to investigate ...
Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle Skoglar, Per; Orguner, Umut; Tornqvist, David; Gustafsson, Fredrik (2012-07-01) This article considers a sensor management problem where a number of road bounded vehicles are monitored by an unmanned aerial vehicle (UAV) with a gimballed vision sensor. The problem is to keep track of all discovered targets and simultaneously search for new targets by controlling the pointing direction of the vision sensor and the motion of the UAV. A planner based on a state-machine is proposed with three different modes; target tracking, known target search, and new target search. A high-level decisio...
Path planning and localization for mobile anchor based wireless sensor networks Erdemir, Ecenaz; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2017) In wireless sensor networks, sensors with limited resources are distributed in a wide area. Localizing the sensors is an important problem. Anchor nodes with known positions are used for sensor localization. A simple and efficient way of generating anchor nodes is to use mobile anchors which have built-in GPS units. In this thesis, a single mobile anchor is used to traverse the region of interest to communicate with the sensor nodes and identify their positions. Therefore planning the best trajectory for th...
Information-centric sensor networks for cognitive IoT: an overview Al-Turjman, Fadi M. (2017-02-01) Information-centric sensor networks (ICSNs) are a paradigm of wireless sensor networks that focus on delivering information from the network based on user requirements, rather than serving as a point-to-point data communication network. Introducing learning in such networks can help to dynamically identify good data delivery paths by correlating past actions and results, make intelligent adaptations to improve the network lifetime, and also improve the quality of information delivered by the network to the ...
Wireless Displacement Sensing Enabled by Metamaterial Probes for Remote Structural Health Monitoring Ozbey, Burak; Unal, Emre; Ertugrul, Hatice; Kurç, Özgür; Puttlitz, Christian M.; ERTÜRK, VAKUR BEHÇET; ALTINTAŞ, AYHAN; DEMİR, Hilmi Volkan (2014-01-01) We propose and demonstrate a wireless, passive, metamaterial-based sensor that allows for remotely monitoring submicron displacements over millimeter ranges. The sensor comprises a probe made of multiple nested split ring resonators (NSRRs) in a double-comb architecture coupled to an external antenna in its near-field. In operation, the sensor detects displacement of a structure onto which the NSRR probe is attached by telemetrically tracking the shift in its local frequency peaks. Owing to the NSRR's near-...

Citation Formats

A. Dundar Unsal, H. Tüydeş Yaman, and P. Karagöz, “Traffic Event Related Blog Post Classification by Using Traffic Related Named Entities,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57000.