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Press Release: Automatic Gathering Origin Destination Data

 

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Researchers from Ateneo de Manila in the Philippines have recently found out a way, at least theoretically, to automate the data collection of traffic flow through the ordinary tracking devices such as mobile phone that equipped with Global Positioning System (GPS) or wireless.

 

When traffic engineers or transportation engineers want to manage the traffic, they need to gather traffic flow data through a very expensive survey called origin destination or OD survey. They usually will set a boundary of their study area with a cordon line and track the origin and destination of vehicles or people that go in or out of the study area. Until recently, for instance, the police or traffic enforcers will stop the traffic at certain roads to give the driver a kind of colour tag and those colour tag should be given back to the traffic enforcers on another road. Non intrusive methods to collect such expensive data involve recording of vehicle license plate number or in human case, it requires face recognition. For an area wide such as a city, extensive and very expensive questionnaire survey is usually done to gather origin destination data. There are also many approaches to approximate the OD data from traffic counts on the road.

 

Due to its high cost, OD surveys are rarely done by government, especially in developing countries. As the results, our traffic situation is mostly chaotic. Even if the government has the most sophisticated software to plan, manage and control the road network, the results of the software are flaw due to incorrect input. In computer terminology, there is a term called GIGO – garbage in garbage out. When we input flaw data, the output is likely to be flaw.

 

The leading researchers, Dr Teknomo and Dr Fernandez said that their recent paper that published in Advanced Transportation Research journal they use deductive mathematical approach on matrix-set to find the relationship between network structure and network utilization in several levels. With their methods as the foundation of the building blocks, it becomes possible to obtain Origin Destination traffic flow data continuously 24/7 all year around. The now rare OD data will soon become abundant and needs more storage. Their research has many bonuses that from the results of that OD data they can directly also obtain traffic flow in all roads in the network without any traffic assignment model or any sophisticated software. They can also find the utilization of the road network directly by their mathematical formula rather than through simulation. Alternatives route flow and visualization of flow pattern and other derivable information that are very useful for transportation planning and design can also be seen as their results.

 

The researchers are opened for possible funding and investment on their projects. Dr Teknomo can be contacted in Pedestrian and Traffic Laboratory in Ateneo de Manila (632) 4266001 local ext.5660.

 

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These tutorial is copyrighted.

Preferable reference for this tutorial is

Teknomo, Kardi. (2013) Relationship between Generalized Origin Destination and Flow Matrix – A Tutorial
http://people.revoledu.com/kardi/research/trajectory/od/

 

 
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