An integrated incident detection methodology with GPS-equipped vehicles
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 nonrecurrent
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.
Keywords:
Sami Demiroluk
An integrated incident detection methodology with GPS-equipped vehicles · 2007 · 125 sayfa.
Danışman: Dr. Hediye Tüydeş ; Prof. Dr. Ayhan İnal
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