The development of Intelligent Transportation Systems (ITS) requires high-quality traffic information within most urban areas worldwide, and under growing pressure for improving traffic management, there has been an increasing urge to collecting and monitoring of traffic data. One of the most reliable and recommended technology for drive thru or traffic control is the loop vehicle detection system. On the Portland freeway system, new software has been installed that allows the reporting of vehicle length in bins. This research investigates the use of this data (length based) by exploring time series analyses of the vehicle counts as freight and non-freight movement
The Washington State Department of Transportation (WSDOT) has a loop detection system on its Greater...
PDFResearch PaperTNW2006-05Transportation operationsFreight serviceIntermodal servicesTruckingUnited...
Abstract- Traffic speed is one of the most important indicators for traffic control and management. ...
Increased knowledge of truck travel patterns has the potential to increase overall highway safety, l...
669197689PDFTech Report003OY01Vehicle classificationVehicle detectorsMathematical modelsIndianaNEXTR...
There is an increasing demand for application of Intelligent Transportation Systems (ITS) in order t...
62 p.Vehicle classification data are important inputs for pavement maintenance, traffic modeling, an...
An algorithm for real time estimation of truck traffic in multi-lane freeway is proposed. The algori...
This paper presents a vehicle reidentification algorithm for consecutive detector stations on a free...
2014PDFTech ReportProject No. 066OY03Traffic congestionTraffic countsVehicle lengthVehicle classific...
In this project, we developed an innovative methodology to solve a long-standing traffic engineering...
This report presents a vehicle reidentification algorithm for consecutive detector stations on a fre...
1 This paper presents a vehicle reidentification algorithm for consecutive detector stations on a fr...
Abstract. Freight plays an increasingly valuable role in the national economy, and a growing percent...
Queue length is a critical performance measure for assessing and managing transportation network per...
The Washington State Department of Transportation (WSDOT) has a loop detection system on its Greater...
PDFResearch PaperTNW2006-05Transportation operationsFreight serviceIntermodal servicesTruckingUnited...
Abstract- Traffic speed is one of the most important indicators for traffic control and management. ...
Increased knowledge of truck travel patterns has the potential to increase overall highway safety, l...
669197689PDFTech Report003OY01Vehicle classificationVehicle detectorsMathematical modelsIndianaNEXTR...
There is an increasing demand for application of Intelligent Transportation Systems (ITS) in order t...
62 p.Vehicle classification data are important inputs for pavement maintenance, traffic modeling, an...
An algorithm for real time estimation of truck traffic in multi-lane freeway is proposed. The algori...
This paper presents a vehicle reidentification algorithm for consecutive detector stations on a free...
2014PDFTech ReportProject No. 066OY03Traffic congestionTraffic countsVehicle lengthVehicle classific...
In this project, we developed an innovative methodology to solve a long-standing traffic engineering...
This report presents a vehicle reidentification algorithm for consecutive detector stations on a fre...
1 This paper presents a vehicle reidentification algorithm for consecutive detector stations on a fr...
Abstract. Freight plays an increasingly valuable role in the national economy, and a growing percent...
Queue length is a critical performance measure for assessing and managing transportation network per...
The Washington State Department of Transportation (WSDOT) has a loop detection system on its Greater...
PDFResearch PaperTNW2006-05Transportation operationsFreight serviceIntermodal servicesTruckingUnited...
Abstract- Traffic speed is one of the most important indicators for traffic control and management. ...