Detection of urban traffic patterns from Floating Car Data (FCD)

Download

1-s2.0-S235214651730193X-main.pdf

Date

2016-09-07

Author

ALTINTAŞI, ORUÇ
Tüydeş Yaman, Hediye
Tuncay, Kağan

Metadata

Show full item record

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

Item Usage Stats

260
views

171
downloads

Real time data collection in traffic engineering is crucial for better traffic corridor control and management. In the literature, many data collection methods have been used such as; magnetic loops, road tube counters, piezo sensors, radars, Bluetooth etc. to estimate the link occupancy, average speed or density of a corridor. More recently, Floating Car Data (FCD) has become another important traffic data source and has an increasing usage due to its lower cost and higher coverage despite its reliability problems. FCD obtained from GPS equipped vehicles moving in the traffic can provide speed or travel speed data for many segments for even 1-min intervals in real-time. Though not totally diverse providing more than one of the traffic flow parameters, measuring the effectiveness of this extensive data source in detecting some critical urban traffic states is the ultimate goal of this study. As a case study, 1-min interval FCD for an urban arterial in Ankara has been collected during the morning peak hour for 2 months. Average speed values were transformed into a qualitative 4-scale state parameter based on the Level of Service (LOS) definitions for urban roads. Pattern searches over consecutive segment states using different search length (i.e. 2 segments, 3 segments, etc.) showed that FCD is capable to detect recurrent congestion or bottleneck locations, and even have an idea about the length of queue formed before the bottlenecks. (C) 2016 The Authors. Published by Elsevier

Subject Keywords

Traffic pattern, Congestion detection, Traffic state estimation, Statistical Analysis

URI

https://hdl.handle.net/11511/46871

DOI

https://doi.org/10.1016/j.trpro.2017.03.057

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Detecting queue length on urban arterials using floating car data (FCD) Altıntaşı, Oruç; Tüydeş Yaman, Hediye; Tuncay, Kağan; Department of Civil Engineering (2018) Accurate estimation of queue lengths whether in the approach of a signalized intersection or near a bottleneck location along an uninterrupted urban arterial is essential for better traffic management. This requires reliable traffic data, which is traditionally obtained from loop detectors, video cameras, etc. More recently, Floating Car Data (FCD) is being increasingly used as an alternative traffic data source due to its lower cost and high coverage area. Commercially available FCD is obtained from GPS eq...
Detection and description of traffic events using floating car and social media data Ünsal, Ahmet Dündar; Tüydeş Yaman, Hediye; Karagöz, Pınar; Department of Geodetic and Geographical Information Technologies (2022-9-12) Detection and verification of traffic events, in traffic management, can be performed traditionally using roadside sensor data. More recently wide coverage travel time information obtained from floating car data (FCD) is also used, despite its limitations to describe the event characteristics and requires verification. Social media, widely adopted in our daily lives, hosts a sheer amount of data which can be analyzed to identify incidents and events using information retrieval methods. In this study, a fra...
Monitoring urban traffic from floating car data (fcd): using speed or a los-based state measure Altıntaşı, Oruç; Tüydeş Yaman, Hediye; Tuncay, Kağan (Springer, Cham, 2019-01-01) Floating Car Data (FCD) has an important traffic data source due to its lower cost and higher coverage despite its reliability problems. FCD obtained from GPS equipped vehicles can provide speed data for many segments in real-time, as provided by Be-Mobile for urban regions in Turkey. Though only providing speed per consecutive road segments, FCD is a great data source to visualize urban traffic state, in the absence of any other traffic data source, which is the focus of this study. After evaluation of var...
Analysis of comprehension of traffic signs: a pilot study in Ankara, Turkey Kırmızıoğlu, Erkut; Tüydeş Yaman, Hediye; Department of Civil Engineering (2010) Traffic signs, which are extremely important for traffic safety, aims to regulate traffic by providing information about the characteristics of road and road environment for drivers. The success of traffic signs mainly rely on the easy comprehensibility of its meaning in a short time. Further more, today’s global economies and transportation systems emphasize the need for more universial traffic signs which was the main motivation of two main treaties on traffic signs; Vienna Convetion in 1968 and European ...
Use of bluetooth technology for traffic analyses in urban road networks Yücel, Şule; Tüydeş Yaman, Hediye; Department of Civil Engineering (2015) Bluetooth technology is a cheap and easy data collection method for traffic studies. It enables tracking of movements via detection of MAC addresses, unique to each Bluetooth device, without actually seeking any personal information. It is successfully used in traffic management in limited access corridors such as highway corridors. However, its potential in urban networks has to be evaluated to see the limitations, since it is more challenging in open networks, which is the main goal of this study. Within ...

Citation Formats

O. ALTINTAŞI, H. Tüydeş Yaman, and K. Tuncay, “Detection of urban traffic patterns from Floating Car Data (FCD),” 2016, vol. 22, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46871.