The City of Minneapolis (Minnesota, U.S.A.) has successfully operated a 725-intersection computerized traffic signal control system for over 20 years. Construction of major commercial facilities in the Minneapolis central business district (CBD) has increased the need for more effective traffic control. In late 1998, the city successfully added an adaptive traffic control module to better manage high traffic demands and flow variations in an important portion of downtown Minneapolis. This was accomplished through the Adaptive Urban Signal Control and Integration (AUSCI) federally-approved project, which was a partnership between the Minnesota Department of Transportation (Mn/DOT), the City of Minneapolis, Fortran Traffic Systems Limited, and Image Sensing Systems, Inc. This paper describes the integration activities required to accomplish the adaptive control implementation, illustrates the supporting detection and surveillance features of the system, and summarizes the evaluation activities and results for the AUSCI project. The AUSCI project consists of the installation and test of adaptive system operation in a 56-intersection portion of the CBD area of Minneapolis to enhance the existing T2000C computer system operation. Version 3.1 of the Split Cycle Offset Optimization Technique (SCOOT) adaptive control software has been implemented. Video detection, which includes 138 Autoscope Solo video sensors, supports the increased need for real-time traffic flow information. Control inputs and traffic flow evaluation data are captured from the machine vision system and logged on a data file server located at the system master site. In addition, nine pan/tilt/zoom cameras are providing video surveillance. The city manages and operates the SCOOT/T2000C modified control system. Project operation covers the SCOOT test area and the 669 other computer-controlled intersections. (A*)
Abstract