Development of an adaptive traffic signal control framework for urban signalized interchanges

In this paper, the authors present a novel adaptive traffic control strategy for urban signalized interchanges. The signalized interchanges refer to those controlled by a single traffic signal controller, but vehicles must cross two or more stop lines to clear. Examples include the diamond Interchange (DI), diverge diamond interchange (DDI), and single point urban interchange (SPUI). With the expansion of urban areas, such interchanges are increasingly common and often become mobility bottlenecks. The underlying theory for traffic signal optimization is the cumulative vehicle counting curves which assume that vehicles are no longer restricted once they cross the stop line. However, at a signalized interchange, vehicles stop multiple times before crossing. This phenomenon cannot be effectively reflected with the classic cumulative vehicle counting curves. The phasing sequence is also challenging due to the limited space within the interchange. Lack of supporting theories also makes it difficult to develop more advanced adaptive traffic control strategies for urban signalized interchanges. The authors propose an adaptive traffic control framework based on a novel traffic control representation, phase-time network . The objective of this system is to dynamically fine-tune control splits and optimize the phasing sequence based on real-time travel demands. The optimization problem is formulated into a mixed-integer linear programming (MILP) formulation. Then an efficient A-D curves-based algorithm is presented and evaluated within a hardware-in-the-loop traffic simulation environment. The proposed MILP formulation and algorithm are evaluated in numerical experiments. The results of all numerical experiments validate the formulation and show promise for real-world implementations.


  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 19p

Subject/Index Terms

Filing Info

  • Accession Number: 01764360
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-02874
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:27AM