Multimodal Signal Optimization of Urban Arterials and Bicycle Paths: Case Study

This study developed a tool that can assist traffic engineers in selecting intersection signal plans that accommodate safely and efficiently both motorized and non-motorized users along urban arterials. A case study of a newly built bicycle facility in downtown Montreal, Quebec, was investigated using a microscopic traffic simulator, VISSIM. To account for the effect of signal timing plans on delay and perceived risk at intersection crossings a combined performance measure, DS, was used. A neural-network model was defined to identify out of three possible configurations (i.e. independent signals, coordinated for vehicle progression, and coordinated for bicycle progression) what the type of signal timing plan yields the best trade off between vehicle delay and safety of non-motorized users. Based on several levels of input flows from real-world and simulated traffic data a large pool of possible input/output combinations was used to train and test a MLP neural network with two hidden layers. It was found that for 99.8% of the tested cases the neural network identifies correctly the configuration of signal timing plan that yields the lowest DS value.

Language

  • English

Media Info

  • Media Type: DVD
  • Features: Figures; References; Tables;
  • Pagination: 17p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01153370
  • Record Type: Publication
  • Report/Paper Numbers: 10-0536
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 10:16AM