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      <title>Traffic Signal Retiming Strategy for the State of Michigan</title>
      <link>https://trid.trb.org/View/793506</link>
      <description><![CDATA[This paper describes how the State of Michigan, like many other states, is experiencing an acute lack of funding for high-cost capacity improvements and road reconstruction. As a result, traffic operations improvements such as traffic signal retiming have grown in their importance as a means of maximizing the capacity of the existing roadway infrastructure. For this reason, several stakeholders in the metropolitan Detroit area and the Michigan Department of Transportation joined together in 2002 to form the Traffic Signal Strategy and Vision committee, a subcommittee of the Traffic Signal Summit, to look ahead to what the future may hold for traffic signal operations. The first task was to develop a traffic signal retiming strategy that identified goals, methods, prioritization of traffic signal corridors, funding, and project administration for a renewable traffic signal optimization program. The local metropolitan planning organization (SEMCOG), which includes 7 counties, was involved to work through funding issues and to tailor the program to the 2030 Regional Transportation Plan (RTP). The traffic signal retiming strategy was approved in June 2004 by the Traffic Signal Summit committee. The significant issues that faced the committee were insufficient public agency staff to perform or administer the traffic signal retiming, project administration options (centralized management or decentralized management), and developing guidelines for the retiming of traffic signal corridors with varying characteristics. The effort in southeast Michigan has spawned interest to consider traffic signal retiming across the entire state, especially with the Michigan Department of Transportation. The following document is an exact version of the report approved by the Traffic Signal Summit on June 29, 2004. This paper covers the following topics related to an ongoing traffic signal retiming program: (1) traffic signal retiming goals; (2) scope of work; (3) project staffing; (4) traffic signal retiming schedule and costs; (5) traffic signal retiming review; (6) signal retiming; strategy considerations; (7) priority corridor retiming strategy; (8) subregional area retiming strategy; and (9) data archives.]]></description>
      <pubDate>Wed, 15 Nov 2006 16:21:58 GMT</pubDate>
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      <title>Optimising Train Priorities to Support the Regulation of Train Services with the Assistance of Active and Deductive Databases</title>
      <link>https://trid.trb.org/View/792467</link>
      <description><![CDATA[This paper describes how the maximization of revenues is a fundamental goal of any business-driven railway infrastructure company. In order to achieve this target in the context of traffic regulation, it must try to avoid delays and ensure scheduled connections. However, nominally equal delays to two different trains are not equal in value from an economic point of view in most cases. Moreover, some connections between trains might be more important in this sense than others. There are complex interdependencies and reciprocal effects in railway traffic. Considering these effects, a dispatcher must evaluate possible forms of conflict resolution and the waiting times these give rise to and select the best solution possible. This is not achievable where a time-critical conflict arises at short notice. Even closed mathematical optimization algorithms encounter limits in the case of larger railway networks due to the enormous number of constraints to be considered. This paper will therefore propose that the optimization process be separated from the train regulation process. Instead, economically evaluated train priorities for conflict situations are to be determined with the help of active, deductive and normative rules. Existing concepts of “smart” database management systems (DBMS) with integrated active and deductive database functionalities can be used for this application. An active DBMS allows the definition of reactions to be automatically initiated by the DBMS in response to the detection of given database-related events. A deductive DBMS allows new, deducible facts to be specified, administered and specially derived from explicitly introduced facts. Train priorities are generated and assigned in detachment from day-to-day operations for lightly and heavily disrupted railway traffic respectively. Long-term optimization of these priorities is effected by evaluating past operational data.]]></description>
      <pubDate>Fri, 20 Oct 2006 13:49:43 GMT</pubDate>
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      <title>TRANSIT MANAGEMENT SOLUTIONS: SUMMARY OF STUDIES</title>
      <link>https://trid.trb.org/View/499859</link>
      <description><![CDATA[This article summarizes the results of several independent reports written to help communities and transportation agencies make an informed choice concerning the use of transit signal priority control to enhance traffic management.  The studies separately reviewed measures of effectiveness that include: total transit travel time; average travel time; system speed;  transit delay or average red light stops; cross traffic delay; effectiveness of different technologies; impact on bus ridership; fuel consumption; operating cost; level of service; and, performance index.]]></description>
      <pubDate>Thu, 15 Apr 1999 00:00:00 GMT</pubDate>
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