Integrated Real-Time Transit Signal Priority Control for High-Frequency Segregated Transit Services

Bus bunching affects transit operations by increasing passenger waiting time and variability. To tackle this phenomenon, a wide range of control strategies has been proposed. However, none of them have considered station and interstation control together. In this study station and interstation control were tackled to determine the optimal vehicle control strategy for various stops and traffic lights in a single service transit corridor. The strategy minimized the total time that users must devote to making a trip, taking into account delays for transit and general traffic users. Based on a high-frequency, capacity-constrained, and unscheduled service (no timetable) for which real-time information about bus position (GPS) and bus load (automated passenger counter) is available, this study focused on strategies for traffic signal priority in the form of green extension considered together with holding buses at stops and limiting passenger boarding at stops. The decisions on transit signal priority were made according to a rolling horizon scheme in which effects over the whole corridor were considered in every single decision. The proposed strategy was evaluated in a simulated environment under different operational conditions. Results showed that the proposed control strategy achieves reductions in the excess delay for transit users close to 61.4% compared with no control, while general traffic increases only by 1.5%.

[1]  Xu Jun Eberlein Real-time control stategies in transit operations : models and analysis , 1995 .

[2]  Guoyuan Wu,et al.  Active Signal Priority for Light Rail Transit at Grade Crossings , 2007 .

[3]  Sam Yagar,et al.  Real-Time Traffic Signal Optimization with Transit Priority: Recent Advances in the Signal Priority Procedure for Optimization in Real-Time Model , 1998 .

[4]  Robert S. Leiken,et al.  A User’s Guide , 2011 .

[5]  Amer Shalaby,et al.  Advanced Transit Signal Priority Control with Online Microsimulation-Based Transit Prediction Model , 2005 .

[6]  Peter G Furth,et al.  Conditional Bus Priority at Signalized Intersections: Better Service with Less Traffic Disruption , 2000 .

[7]  Ricardo Giesen,et al.  Real-Time Control of Buses in a Transit Corridor Based on Vehicle Holding and Boarding Limits , 2009 .

[8]  D I Robertson,et al.  TRANSYT: A TRAFFIC NETWORK STUDY TOOL , 1969 .

[9]  Chen-Fu Liao,et al.  Simulation Study of Bus Signal Priority Strategy , 2007 .

[10]  R B Potts,et al.  Maintaining a bus schedule , 1964 .

[11]  F. Webster TRAFFIC SIGNAL SETTINGS , 1958 .

[12]  Pitu B. Mirchandani,et al.  A REAL-TIME TRAFFIC SIGNAL CONTROL SYSTEM: ARCHITECTURE, ALGORITHMS, AND ANALYSIS , 2001 .

[13]  Ricardo Giesen,et al.  How much can holding and/or limiting boarding improve transit performance? , 2012 .

[14]  J Y Luk,et al.  TRANSYT: traffic network study tool , 1990 .

[15]  Alexander Skabardonis,et al.  Control Strategies for Transit Priority , 1998 .

[16]  Kevin N. Balke,et al.  Development and Evaluation of Intelligent Bus Priority Concept , 2000 .

[17]  R B Potts,et al.  Pairing of buses , 1964 .

[18]  Peter A. Duerr Dynamic Right-of-Way for Transit Vehicles: Integrated Modeling Approach for Optimizing Signal Control on Mixed Traffic Arterials , 2000 .

[19]  Brian Lee,et al.  TSP Advance: An advanced transit signal priority system - development and evaluation , 2006 .