Simulation-based Decision Support System for Real Time Traffic Management

Traffic management operations usually rely on real-time traffic data to observe the traffic status, detect incidents and make a decision on which actions to undertake for improving network throughput or for reacting to specific incidents. The impact of such actions may only be known after a certain time, once updated traffic data arrives at the Traffic Management Center (TMC). Such a process too often leads to a “trial-and-error” management process that we term “reactive”. A better approach would be a “pro-active” process, allowing the operators to evaluate in advance the likely consequences of their actions before implementing them in real life. To do that, prediction capabilities must be available in the TMC. This paper aims, therefore, to demonstrate how a simulation-based forecasting solution can be the key element of a traffic management Decision Support System (DSS). In a first part, it describes typical TMC needs and explains the advantages of using simulation for forecasting tasks vis-à-vis analytical solutions. In a second step, a complete architecture of a DSS is explained with a clear emphasis on the simulation model preparation and traffic data flow between the different modules composing this DSS. Finally, the concrete example of the city of Madrid serves as an illustration of how such a DSS really works. Among other topics raised in this last part, a special emphasis is given to the model validation and the indicators used to compare the different traffic management strategies assessed using the forecasting capabilities.


  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Maps; Photos; References;
  • Pagination: 13p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01154783
  • Record Type: Publication
  • Report/Paper Numbers: 10-2120
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 10:58AM