Integrated optimization of lane markings and timings for signalized roundabouts

Wanjing Ma, Yue Liu, Kenneth L Head, Xiaoguang Yang

Research output: Contribution to journalArticle

26 Scopus citations


Installing signals has long been proved to be a cost-effective solution to increase capacity and treat unbalanced flows at modern roundabouts (Shawaly et al., 1991). However, signal optimization methods for conventional intersections do not directly apply to roundabouts due to the complexity of operating signals at circulatory lanes, designing special phase structure and lane marking settings, and treating left-turn movements, particularly when there are more than two lanes at approaches of a roundabout. This paper contributes to developing an integrated optimization model that is able to simultaneously determine lane markings and timings for a signalized roundabout. A precedence graph is uniquely designed to formulate a unified phase structure at both approaches and circulatory lanes. Left-turn movement queuing section at circulatory lanes is modeled as an intersection approach with short lanes and upstream signals, where queuing diagram is employed to model the capacity, queue length, and queue clearance for left turns at the second stop line. Capacity maximization, cycle length minimization, and delay minimization problems are formulated to optimize the operation of a roundabout. Real-world operational constraints are also taken into account in the optimization process to ensure feasibility and safety. Case study and sensitivity analyses results have demonstrated the effectiveness of the proposed model and provided guidelines for best application of the proposed control strategy.

Original languageEnglish (US)
Pages (from-to)307-323
Number of pages17
JournalTransportation Research Part C: Emerging Technologies
Publication statusPublished - Nov 2013



  • Lane markings
  • Optimization
  • Roundabout
  • Signal control
  • Two-stop line for left-turn

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research
  • Automotive Engineering
  • Transportation

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