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Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections

Abstract Details

2013, Master of Science in Engineering, University of Akron, Civil Engineering.
Traditional four-phase, four-legged intersections often operate inefficiently, severely restricting the available throughput and resulting in large delays. These configurations are limited by their traditional geometric design, and altering the geometry of the entire intersection can significantly increase capacity. Continuous flow intersections utilize an unconventional lane arrangement to maximize the vehicular throughput. This arrangement involves displacing left-turn lanes across opposing through traffic before the main intersection is reached. Such an alteration allows left and through vehicles to proceed simultaneously, and consequently, both the intersection capacity and delay are improved. Numerous studies have validated the operational improvements associated with continuous flow intersections, but pedestrian accommodation is oftentimes low due to the unconventional configuration. Both pedestrian delay and crossing distance are longer than desired, and the unfamiliar geometry makes navigating the intersection difficult and possibly unsafe. In this study, an enhanced continuous flow intersection configuration was proposed and tested to improve the pedestrian experience. Increased intersection delay is often a result of pedestrian crossing activities, for which an adaptive signal control program has been developed specifically for this intersection to reduce vehicle delay while prioritizing pedestrian crossing. The signal control procedure dynamically chooses the appropriate phase and green time combination to minimize delay by considering pedestrian wait time and existing queue size. Several simulation analyses were performed using this adaptive control methodology, and the results of this study have shown how its implementation can improve pedestrian accommodations while simultaneously minimizing vehicle delay at a continuous flow intersection.
Ping Yi, Dr. (Advisor)
William H. Schneider IV, Dr. (Committee Member)
Ala R. Abbas, Dr. (Committee Member)
73 p.

Recommended Citations

Citations

  • Coates, A. M. (2013). Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1374170215

    APA Style (7th edition)

  • Coates, Angela. Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections. 2013. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1374170215.

    MLA Style (8th edition)

  • Coates, Angela. "Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections." Master's thesis, University of Akron, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1374170215

    Chicago Manual of Style (17th edition)