An integrated incident detection methodology with gps-equipped vehicles

Download

index.pdf

Date

2007

Author

Demiroluk, Sami

Metadata

Show full item record

Item Usage Stats

117
views

52
downloads

Recurrent congestion in urban traffic networks, especially on arterials, is a growing problem. Non-recurrent congestion, mainly due to incidents, only aggravates the problem. Any solution requires monitoring of the network, for which many developing countries, such as Turkey, do not have the traditional surveillance systems on arterials mainly due to high costs. An alternative solution is the utilization of Global Positioning System (GPS) technology, which is increasingly used in traffic monitoring. It is easy and cheap to obtain the GPS track information,even in real-time, from a probe-vehicle or a fleet of vehicles; and spatial variation of speed and travel time of the vehicle(s) in a network can be determined. GPS-based data, especially with only one probe-vehicle, would not provide information on the concurrent states of upstream and downstream traffic, needed to define the state of traffic in a network. To overcome this obstacle, a methodology based on statistical analysis of archival traffic conditions obtained through different sources is proposed to analyze traffic fluctuations and identify daily traffic pattern. As a result, bottleneck and resulting queues can be detected on a corridor. Thus, it enables detection of recurrent congestion and queues that may result from incidents. The proposed methodology is tested on a corridor the roadway between METU and Kızılay of İnönü Boulevard. The results show that the methodology can effectively identify bottleneck locations on the corridor and also an incident observed during the data collection is detected correctly by the proposed algorithm.

Subject Keywords

Traffic Engineering., Structural Engineering (General)

URI

http://etd.lib.metu.edu.tr/upload/3/12608653/index.pdf
https://hdl.handle.net/11511/17027

Collections

Graduate School of Natural and Applied Sciences, Thesis

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...
A SOAP-Based Social Traffic Network System for Smart Phone Users Peker, Serhat; Gurbuz, Ozge; Taşkaya Temizel, Tuğba (2014-06-25) Road traffic congestions are one of the major problems in highly populated cities. In the recent years, GPS based solutions have become popular since people are able to see the traffic flow on streets instantaneously. However such systems are lack of intelligent reasoning regarding the traffic problems. As a result, one cannot anticipate the traffic slowdown duration and overall impact. This study proposes a social network based solution using web services where people will be able to share latest traffic i...
Characteristics of cloverleaf interchange in Turkey Yalçın, Esra Gözde; Tüydeş Yaman, Hediye; Department of Civil Engineering (2018) Level of Service (LOS) is a qualitative key attribute for monitoring traffic performance of road infrastructure. As interchanges are major but rather limited designs in road networks, providing uninterrupted flow with high capacities, there is a no LOS concept developed for them. However, data collection capability via Bluetooth (BT) readers located at interchange approaches make it possible to collect continuous speed and travel time data for all possible movements, which can lead to a measure for LOS for ...
Detection of urban traffic patterns from Floating Car Data (FCD) ALTINTAŞI, ORUÇ; Tüydeş Yaman, Hediye; Tuncay, Kağan (Elsevier BV; 2016-09-07) 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 ...
Better estimation of origin-destination matrix using automated intersection movement count data Tüydeş Yaman, Hediye; Sendil, Nuri (Canadian Science Publishing, 2015-07-01) Intersection movements carry more disaggregate information about origin-destination (O-D) flows than link counts in a traffic network. In this paper, a mathematical formulation is presented for O-D matrix estimation using intersection counts, which is based on an existing linear programming model employing link counts. The proposed model estimates static O-D flows for uncongested networks assuming no a priori information on the O-D matrix. Both models were tested in two hypothetical networks previously used...

Citation Formats

S. Demiroluk, “An integrated incident detection methodology with gps-equipped vehicles,” M.S. - Master of Science, Middle East Technical University, 2007.