Intelligent Transportation Systems in Headway-Based Bus Service (2021)

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56 Abkowitz, M. D., and M. Lepofsky. (1990). Implementing Headway-Based Reliability Control on Transit Routes. Journal of Transportation Engineering, Vol. 116, No. 1: 49–63. Abkowitz, M., and T. Tozzi. (1986). Transit Route Characteristics and Headway-Based Reliability Control. Transportation Research Record: Journal of the Transportation Research Board, No. 1078: 11–16. Adamski, A., and A. Turnau. (1998). Simulation Support Tool for Real-Time Dispatching Control in Public Transport. Transportation Research Part A: Policy and Practice, Vol. 32, No. 2: 73–87. Adewumi, E., and D. Allopi. (2013). Rea Vaya: South Africa’s First Bus Rapid Transit System. South African Journal of Science, Vol. 109, No. 7-8: 1–3. Anderson, P., and C. F. Daganzo. (2020). Effect of Transit Signal Priority on Bus Service Reliability. Transportation Research Part B: Methodological, Vol. 132: 2–14. doi:10.1016/j.trb.2019.01.016. Anderson, P., M. Walk, and C. Simek. (2020). TCRP Synthesis 149: Transit Signal Priority: Current State of the Practice. Transportation Research Board, Washington, D.C. Andres, M., and R. Nair. (2017). A Predictive-Control Framework to Address Bus Bunching. Transportation Research Part B: Methodological, Vol. 104: 123–148. Argote-Cabanero, J., C. F. Daganzo, and J. W. Lynn. (2015). Dynamic Control of Complex Transit Systems. Transportation Research Part B: Methodological, Vol. 81: 146–160. Asgharzadeh, M., and Y. Shafahi. (2017). Real-Time Bus-Holding Control Strategy to Reduce Passenger Waiting Time. Transportation Research Record: Journal of the Transportation Research Board, No. 2647: 9–16. doi:10.3141/2647-02. Barnett, A. (1974). On Controlling Randomness in Transit Operations. Transportation Science, Vol. 8, No. 2: 102–116. Bartholdi, J., and D. Eisenstein. (2012). A Self-Coordinating Bus Route to Resist Bus Bunching. Transportation Research Part B: Methodological, Vol. 46, No. 4: 481–491. doi:10.1016/j.trb.2011.11.001. Bellei, G., and K. Gkoumas. (2010). Transit Vehicles’ Headway Distribution and Service Irregularity. Public Transport, Vol. 2, No. 4: 269–289. Berrebi, S. J., E. Hans, N. Chiabaut, J. A. Laval, L. Leclercq, and K. E. Watkins. (2018). Comparing Bus Holding Methods with and without Real-Time Predictions. Transportation Research Part C: Emerging Technologies, Vol. 87: 197–211. doi:10.1016/j.trc.2017.07.012. Berrebi, S. J., K. E. Watkins, and J. A. Laval. (2015). A Real-Time Bus Dispatching Policy to Minimize Passenger Wait on a High-Frequency Route. Transportation Research Part B: Methodological, Vol. 81: 377–389. doi:10.1016/j.trb.2015.05.012. Boyle, D. (2008). TCRP Synthesis 77: Passenger Counting Systems. Transportation Research Board of the National Academies, Washington, D.C. Capital Metro. (2019). MetroRapid Route Map. https://www.capmetro.org/docs/default-source/riders-guide-docs/ our-services-docs/metrorapid_january-2019.pdf?sfvrsn=94367b7d_2. Accessed November 5, 2020. Capital Metro. (2020a). Performance Dashboard: Ridership. https://www.capmetro.org/ridership-stats. Accessed November 5, 2020. Capital Metro. (2020b). Service Management Manual. Austin, TX: Capital Metropolitan Transportation Authority. Capital Metro. (2020c). Performance Dashboard: Reliability. https://www.capmetro.org/reliability-stats. Accessed November 5, 2020. Cats, O. (2014). Regularity-Driven Bus Operation: Principles, Implementation and Business Models. Transport Policy, Vol. 36: 223–230. Cats, O., A. N. Larijani, H. N. Koutsopoulos, and W. Burghout. (2011). Impacts of Holding Control Strategies on Transit Performance: Bus Simulation Model Analysis. Transportation Research Record: Journal of the Transportation Research Board, No. 2216: 51–58. References

References 57   Cats, O., A. N. Larijani, Á. Ólafsdóttir, W. Burghout, I. J. Andréasson, and H. N. Koutsopoulos. (2012). Bus-Holding Control Strategies: Simulation-Based Evaluation and Guidelines for Implementation. Trans- portation Research Record: Journal of the Transportation Research Board, No. 2274: 100–108. Chandrasekar, P., R. Long Cheu, and H. Chin. (2002). Simulation Evaluation of Route-Based Control of Bus Operations. Journal of Transportation Engineering, Vol. 128: 519–527. Chang, M., G. Darido, E. Kim, D. Schneck, M. Hardy, J. Bunch, M. Baltes, D. Hinebaugh, L. Wnuk, F. Silver, and S. Zimmerman. (2004). Characteristics of Bus Rapid Transit for Decision-Making. Federal Transit Administration, U.S. Department of Transportation, Washington, D.C. Chapman, R., and J. Michel. (1978). Modelling the Tendency of Buses to Form Pairs. Transportation Science, Vol. 12, No. 2: 165–175. Chen, Q., E. Adida, and J. Lin. (2013). Implementation of an Iterative Headway-Based Bus Holding Strategy with Real-Time Information. Public Transport, Vol. 4, No. 3: 165–186. doi:10.1007/s12469-012-0057-1. City of Austin Transportation Department. (2020). Austin Mobility News: Jan. 27, 2020. https://mailchi.mp/ austintexas/mobilitynews_01272020?e=0495e2f3c6. Accessed November 16, 2020. Cortés, C. E., S. Jara-Díaz, and A. Tirachini. (2011). Integrating Short Turning and Deadheading in the Opti- mization of Transit Services. Transportation Research Part A: Policy and Practice, Vol. 45, No. 5: 419–434. Cortés, C. E., D. Sáez, F. Milla, A. Núñez, and M. Riquelme. (2010). Hybrid Predictive Control for Real-Time Optimization of Public Transport System’s Operations Based on Evolutionary Multi-objective Optimization. Transportation Research Part C: Emerging Technologies, Vol. 18, No. 5: 757–769. Cramer, A., J. Cucarese, M. Tranh, A. Lu, and A. Reddy. (2009). Performance Measurements on Mass Transit: Case Study of New York City Transit Authority. Transportation Research Record: Journal of the Transportation Research Board, No. 2111: 125–138. Daganzo, C. F. (2009). A Headway-Based Approach to Eliminate Bus Bunching. Transportation Research Part B: Methodological, Vol. 43, No. 10: 913–921. Daganzo, C. F., and J. Pilachowski. (2011). Reducing Bunching with Bus-to-Bus Cooperation. Transportation Research Part B: Methodological, Vol. 45, No. 1: 267–277. doi:10.1016/j.trb.2010.06.005. Delgado, F., J. C. Muñoz, and R. Giesen. (2012). How Much Can Holding and/or Limiting Boarding Improve Transit Performance? Transportation Research Part B: Methodological, Vol. 46, No. 9: 1202–1217. Delgado, F., J. C. Muñoz, R. Giesen, and A. Cipriano. (2009). Real-Time Control of Buses in a Transit Corridor Based on Vehicle Holding and Boarding Limits. Transportation Research Record: Journal of the Transportation Research Board, No. 2090: 59–67. Delle Site, P., and F. Filippi. (1998). Service Optimization for Bus Corridors with Short-Turn Strategies and Variable Vehicle Size. Transportation Research Part A: Policy and Practice, Vol. 32, No. 1: 19–38. Diab, E. I., and A. M. El-Geneidy. (2012). Understanding the Impacts of a Combination of Service Improve- ment Strategies on Bus Running Time and Passenger Perception. Transportation Research Part A: Policy and Practice, Vol. 46, No. 3: 614–625. Ding, Y., and S. Chien. (2001). Improving Transit Service Quality and Headway Regularity with Real Time Control. Transportation Research Record: Journal of the Transportation Research Board, No. 1760: 160–171. Eberlein, X. J., N. H. Wilson, and D. Bernstein. (2001). The Holding Problem with Real-Time Information Available. Transportation Science, Vol. 35, No. 1: 1–18. Eberlein, X. J., N. H. Wilson, C. Barnhart, and D. Bernstein. (1998). The Real-Time Deadheading Problem in Transit Operations Control. Transportation Research Part B: Methodological, Vol. 32, No. 2: 77–100. El-Geneidy, A., J. Horning, and K. J. Krizek. (2007). Using Archived ITS Data to Improve Transit Performance and Management. St. Paul, MN: Minnesota Department of Transportation. http://www.lrrb.org/PDF/ 200744.pdf. El-Geneidy, A., D. van Lierop, E. Grisé, G. Boisjoly, D. Swallow, L. Fordham, and T. Herrmann. (2017). Get on Board: Assessing an All-Door Boarding Pilot Project in Montreal, Canada. Transportation Research Part A: Policy and Practice, Vol. 99: 114–124. Estrada, M., J. Mensión, J. M. Aymamí, and L. Torres. (2016). Bus Control Strategies in Corridors with Signalized Intersections. Transportation Research Part C: Emerging Technologies, Vol. 71: 500–520. Fan, W. D., and R. B. Machemehl. (2009). Do Transit Users Just Wait for Buses or Wait With Strategies? Transportation Research Record: Journal of the Transportation Research Board, No. 2111: 169–176. Feng, W., and M. Figliozzi. (2015). Empirical Analysis of Bus Bunching Characteristics Based on Bus AVL/APC Data. Presented at 94th Annual Meeting of the Transportation Research Board, Washington, D.C. Flynn, J., C. Thole, V. Perk, J. Samus, and C. van Nostrand. (2011). Metro Orange Line BRT Project Evaluation. Federal Transit Administration, U.S. Department of Transportation, Washington, D.C. https://rosap.ntl.bts.gov/ view/dot/29269. Fonzone, A., J.-D. Schmöcker, and R. Liu. (2015). A Model of Bus Bunching under Reliability-Based Passenger Arrival Patterns. Transportation Research Part C: Emerging Technologies, Vol. 59: 164–182.

58 Intelligent Transportation Systems in Headway-Based Bus Service Fu, L., and X. Yang. (2002). Design and Implementation of Bus-Holding Control Strategies with Real-Time Information. Transportation Research Record: Journal of the Transportation Research Board, No. 1791: 6–12. doi:10.3141/1791-02. Fu, L., Q. Liu, and P. Calamai. (2003). Real-Time Optimization Model for Dynamic Scheduling of Transit Operations. Transportation Research Record: Journal of the Transportation Research Board, No. 1857: 48–55. Furth, P. (1986). Zonal Route Design for Transit Corridors. Transportation Science, Vol. 20, No. 1: 1–12. Furth, P. G., and T. H. Muller. (2006). Service Reliability and Hidden Waiting Time: Insights from Automatic Vehicle Location Data. Transportation Research Record: Journal of the Transportation Research Board, No. 1955: 79–87. Gkiotsalitis, K. (2020). Bus Holding of Electric Vehicles: An Exact Optimization Approach. Presented at 99th Annual Meeting of the Transportation Research Board, Washington, D.C. Gkiotsalitis, K., and O. Cats. (2019). Multi-constrained Bus Holding Control in Time Windows with Branch and Bound and Alternating Minimization. Transportmetrica B: Transport Dynamics, Vol. 7, No. 1: 1258–1285. Gkiotsalitis, K., Z. Wu, and O. Cats. (2019). A Cost-Minimization Model for Bus Fleet Allocation Featuring the Tactical Generation of Short-Turning and Interlining Options. Transportation Research Part C: Emerging Technologies, Vol. 98: 14–36. Golani, H. (2007). Archived CAD-AVL and APC Data Uses at Champaign-Urbana Mass Transit District. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C. Golshani, F. (1983). Service Regularity and Overtaking Rules in Bus Services. Journal of the Operational Research Society, Vol. 34, No. 7: 591–597. Hammerle, M., M. Haynes, and S. McNeil. (2005). Use of Automatic Vehicle Location and Passenger Count Data to Evaluate Bus Operations: Experience of the Chicago Transit Authority, Illinois. Transportation Research Record: Journal of the Transportation Research Board, No. 1903: 27–34. He, S.-X. (2015). An Anti-bunching Strategy to Improve Bus Schedule and Headway Reliability by Making Use of the Available Accurate Information. Computers and Industrial Engineering, Vol. 85: 17–32. He, S.-X., J. Dong, S.-D. Liang, and P.-C. Yuan. (2019). An Approach to Improve the Operational Stability of a Bus Line by Adjusting Bus Speeds on the Dedicated Bus Lanes. Transportation Research Part C: Emerging Technologies, Vol. 107: 54–69. Henderson, G., K. Philip, and A. Heba. (1991). Regularity Indices for Evaluating Transit Performance. Transportation Research Record: Journal of the Transportation Research Board, No. 1297: 3–9. Hernández, D., J. C. Muñoz, R. Giesen, and F. Delgado. (2015). Analysis of Real-Time Control Strategies in a Corridor with Multiple Bus Services. Transportation Research Part B: Methodological, Vol. 78: 83–105. Hickman, M. D. (2001). An Analytic Stochastic Model for the Transit Vehicle Holding Problem. Transportation Science, Vol. 35, No. 3: 215–237. Ibarra-Rojas, O. J., F. Delgado, R. Giesen, and J. C. Muñoz. (2015). Planning, Operation, And Control of Bus Transport Systems: A Literature Review. Transportation Research Part B: Methodological, Vol. 77: 38–75. doi:10.1016/j.trb.2015.03.002. Ingvardson, J. B., O. A. Nielse, S. Raveau, and B. F. Nielse. (2018). Passenger Arrival and Waiting Time Distributions Dependent on Train Service Frequency and Station Characteristics: A Smart Card Data Analysis. Transportation Research Part C: Emerging Technologies, Vol. 90: 292–306. Jansson, K., and R. Pyddoke. (2010). Quality Incentives and Quality Outcomes in Procured Public Transport— Case Study Stockholm. Research in Transportation Economics, Vol. 29, No. 1: 11–18. Jolliffe, J., and T. Hutchinson. (1975). A Behavioural Explanation of the Association between Bus and Passenger Arrivals at a Bus Stop. Transportation Science, Vol. 9, No. 3: 248–282. Jordan, W., and M. Turnquist. (1979). Zone Scheduling of Bus Routes to Improve Service Reliability. Transporta- tion Science, Vol. 13, No. 3: 242–268. Kim, E. J., G. Darido, and D. Schneck. (2005). Las Vegas Metropolitan Area Express (MAX) BRT Demonstration Project Evaluation. Federal Transit Administration, U.S. Department of Transportation, Washington, D.C. Kittelson & Associates, Urbitran, LKC Consulting Services, MORPACE International, Queensland University of Technology, and Y. Nakanishi. (2003). TCRP Report 88: A Guidebook for Developing a Transit Performance- Measurement System. Transportation Research Board of the National Academies, Washington, D.C. Kittelson & Associates, Parsons Brinckerhoff, KFH Group, Texas A&M Transportation Institute, and Arup. (2013). TCRP Report 165: Transit Capacity and Quality of Service Manual, Third Edition. Transportation Research Board of the National Academies, Washington, D.C. Laskaris, G., O. Cats, E. Jenelius, M. Rinaldi, and F. Viti. (2019). Multiline Holding Based Control for Lines Merging to a Shared Transit Corridor. Transportmetrica B: Transport Dynamics, Vol. 7, No. 1: 1062–1095. Li, Y., J. M. Rousseau, and M. Gendreau. (1993). Real-Time Dispatching of Public Transit Operations With and Without Bus Location Information. Computer-Aided Transit Scheduling Proceedings. Lisbon, Portugal. Liang, S., M. Ma, S. He, H. Zhang, and P. Yuan. (2019). Coordinated Control Method to Self-Equalize Bus Headways: An Analytical Method. Transportmetrica B: Transport Dynamics, Vol. 7, No. 1: 1175–1202.

References 59   Liang, S., S. Zhao, C. Lu, and M. Ma. (2016). A Self-Adaptive Method to Equalize Headways: Numerical Analysis and Comparison. Transportation Research Part B: Methodological, Vol. 87: 33–43. Lizana, P., J. C. Muñoz, R. Giesen, and F. Delgado. (2014). Bus Control Strategy Application: Case Study of Santiago Transit System. Procedia Computer Science, Vol. 32: 397–404. LTA. (2014). Bus Service Reliability Framework. Singapore: Land Transport Authority. Luethi, M., U. Weidmann, and A. Nash. (2007). Passenger Arrival Rates at Public Transport Stations. Presented at 86th Annual Meeting of the Transportation Research Board, Washington D.C. Manasra, H., and T. Toledo. (2019). Optimization-Based Operations Control for Public Transportation Service with Transfers. Transportation Research Part C: Emerging Technologies, Vol. 105: 456–467. McKone, T., E. Partridge, and J. Martin. (2009). Eliminating Bus Bunching - Building a Process, Information Source, and Tool Box for Improving Service. Bus and Paratransit 2009 Proceedings. Seattle, WA: American Public Transportation Association. Morales, D., J. C. Muñoz, and P. Gazmuri. (2020). A Stochastic Model for Bus Injection in an Unscheduled Public Transport Service. Transportation Research Part C: Emerging Technologies, Vol. 113: 277–292. Moreira-Matias, L., O. Cats, J. A. Gama, J. A. Mendes-Moreira, and J. F. de Sousa. (2016). An Online Learning Approach to Eliminate Bus Bunching in Real Time. Applied Soft Computing, Vol. 47: 460–482. Muñoz, J. C., C. E. Cortés, R. Giesen, D. Sáez, F. Delgado, F. Valencia, and A. Cipriano. (2013). Comparison of Dynamic Control Strategies for Transit Operations. Transportation Research Part C: Emerging Technologies, Vol. 28: 101–113. Nakanishi, Y. J. (1997). Bus Performance Indicators - On-Time Performance and Service Regularity. Transporta- tion Research Record: Journal of the Transportation Research Board, No. 1571: 3–13. National Transit Database. (2018). Transit Agency Profiles. https://www.transit.dot.gov/ntd/transit-agency- profiles. Accessed May 1, 2020. Nesheli, M. M., and A. A. Ceder. (2014). Optimal Combinations of Selected Tactics for Public-Transport Transfer Synchronization. Transportation Research Part C: Emerging Technologies, Vol. 48: 491–504. Newell, G. (1977). Unstable Brownian Motion of a Bus Trip. In Statistical Mechanics and Statistical Methods in Theory and Application. Springer: 645–667. Newell, G. F., and R. Potts. (1964). Maintaining a Bus Schedule. In Proceedings of the 2nd Australian Road Research Board, Vol. 2. Australian Road Research Board, Melbourne: 388–393. O’Dell, S., and N. H. Wilson. (1999). Optimal Real-Time Control Strategies for Rail Transit Operations During Disruption. In N. H. Wilson (Ed.), Computer-Aided Systems in Public Transport. Lecture Notes in Economics and Mathematical Systems, Vol. 471. Springer, Berlin Heidelberg: 299–323. Parker, D. J. (2008). TCRP Synthesis 73: AVL Systems for Bus Transit: Update. Transportation Research Board of the National Academies, Washington, D.C. Pelletier, M.-P., M. Trépanier, and C. Morency. (2011). Smart Card Data Use in Public Transit: A Literature Review. Transportation Research Part C: Emerging Technologies, Vol. 19, No. 4: 557–568. Petit, A., C. Lei, and Y. Ouyang. (2019). Multiline Bus Bunching Control via Vehicle Substitution. Transportation Research Part B: Methodological, Vol. 126: 68–86. Petit, A., Y. Ouyang, and C. Lei. (2018). Dynamic Bus Substitution Strategy for Bunching Intervention. Transportation Research Part B: Methodological, Vol. 115: 1–16. Pulley, N., R. Balcombe, R. Mackett, H. Titheridge, J. Preston, M. Wardman, J. Shires. and P. White. (2006). The Demand for Public Transport: The Effects of Fare, Quality of Service, Income, and Car Ownership. Transport Policy, Vol. 13, No. 4: 295–306. Puong, A., and N. Wilson. (2008). A Train Holding Model for Urban Rail Transit Systems. In M. Hickman, P. Mirchandani, and S. Voß (Eds.), Computer-Aided Systems in Public Transport, Vol. 600. Springer, Berlin, Heidelberg: 319–337. Rietveld, P. (2005). Six Reasons Why Supply-Oriented Indicators Systematically Overestimate Service Quality in Public Transport. Transport Reviews, Vol. 25, No. 3: 319–328. Rossetti, M. D., and T. Turitto. (1998). Comparing Static and Dynamic Threshold Based Control Strategies. Transportation Research Part A: Policy and Practice, Vol. 32, No. 8: 607–620. Sáez, D., C. E. Cortés, F. Milla, A. Núñez, A. Tirachini, and M. Riquelme. (2012). Hybrid Predictive Control Strategy for a Public Transport System with Uncertain Demand. Transportmetrica, Vol. 8, No. 1: 61–86. Sánchez-Martínez, G. E., H. N. Koutsopoulos, and N. H. M. Wilson. (2016). Real-Time Holding Control for High-Frequency Transit with Dynamics. Transportation Research Part B: Methodological, Vol. 83: 1–19. Sirmatel, I. I., and N. Geroliminis. (2018). Mixed Logical Dynamical Modeling and Hybrid Model Predictive Control of Public Transport Operations. Transportation Research Part B: Methodological, Vol. 114: 325–345. Strathman, J. G. (2002). Tri-Met’s Experience with Automatic Passenger Counter and Automatic Vehicle Location Systems. Portland, OR: Center for Urban Studies, Portland State University. Strathman, J., K. J. Dueker, and T. Kimpel. (1999). Automated Bus Dispatching Operational Control and Service Reliability Baseline Analysis. Transportation Research Record: Journal of the Transportation Research Board, No. 1666: 28-36.

60 Intelligent Transportation Systems in Headway-Based Bus Service Sun, A., and M. Hickman. (2005). The Real-Time Stop-Skipping Problem. Journal of Intelligent Transportation Systems, Vol. 9, No. 2: 91–109. Tétreault, P. R., and A. M. El-Geneidy. (2010). Estimating Bus Run Times for New Limited-Stop Service Using Archived AVL and APC Data. Transportation Research Part A: Policy and Practice, Vol. 44, No. 6: 390–402. Thobani, M. (1984). A Nested Logit Model of Travel Mode to Work and Auto Ownership. Journal of Urban Economics, Vol. 15, No. 3: 287–301. Toledo, T., O. Cats, W. Burghout, and H. N. Koutsopoulos. (2010). Mesoscopic Simulation for Transit Operations. Transportation Research Part C: Emerging Technologies, Vol. 18, No. 6: 896–908. Transport for London. (2012). London Buses-Quality of Service Indicators. London: Transport for London. Trompet, M., X. Liu, and D. J. Graham. (2011). Development of Key Performance Indicator to Compare Regularity of Service Between Urban Bus Operators. Transportation Research Record: Journal of the Transportation Research Board, No. 2216: 33–41. Truong, T., and D. Hensher. (1985). Measurement of Travel Time Values and Opportunity Cost from a Discrete- Choice Model. The Economic Journal, Vol. 95, No. 378: 438–451. Turnquist, M. A. (1978). A Model for Investigating the Effects of Service Frequency and Reliability on Bus passenger Waiting Times. Transportation Research Record, No. 663: 70–73. Turnquist, M. A. (1981). Strategies for Improving Reliability of Bus Transit Service. Transportation Research Record: Journal of the Transportation Research Board, No. 818: 7–13. Turnquist, M. A., and L. A. Bowman. (1980). The Effects of Network Structure on Reliability of Transit Service. Transportation Research Part B: Methodological, Vol. 14, No. 1-2: 79–86. Uniman, D. L. (2009). Service Reliability Measurement Framework Using Smart Card Data: Application to the London Underground. Master’s thesis. MIT. van Oort, N., and R. van Nes. (2009). Control of Public Transportation Operations to Improve Reliability: Theory and Practice. Transportation Research Record: Journal of the Transportation Research Board, No. 2112: 70–76. van Oort, N., N. H. Wilson, and R. van Nes. (2010). Reliability Improvement in Short Headway Transit Services. Transportation Research Record: Journal of the Transportation Research Board, No. 2143: 67–76. doi:10.3141/2143-09. Varga, B., T. Tettamanti, and B. Kulcsár. (2018). Optimally Combined Headway and Timetable Reliable Public Transport System. Transportation Research Part C: Emerging Technologies, Vol. 92: 1–26. Verbas, I., and H. Mahmassani. (2013). Optimal Allocation of Service Frequencies over Transit Network Routes and Time Periods: Formulation, Solution, and Implementation Using Bus Route Patterns. Transportation Research Record: Journal of the Transportation Research Board, No. 2334: 50–59. Verbas, I., C. Frei, H. Mahmassani, and R. Chan. (2015). Stretching Resources: Sensitivity of Optimal Bus Frequency Allocation to Stop-Level Demand Elasticities. Public Transport, Vol. 7, No. 1: 1–20. Watkins, K. E., B. Ferris, A. Borning, G. S. Rutherford, and D. Layton. (2011). Where Is My Bus? Impact of Mobile Real-Time Information on the Perceived and Actual Wait Time of Transit Riders. Transportation Research Part A: Policy and Practice, Vol. 45, No. 8: 839–848. Welding, P. (1957). The Instability of a Close-Interval Service. Journal of the Operational Research Society, Vol. 8, No. 3: 133–142. Wood, D., T. Stasko, L. Tarte, D. Jefferson, and A. Reddy. (2018). A Real-Time Service Management Decision Support System for Train Dispatching at New York City Transit. Transportation Research Record: Journal of the Transportation Research Board, No. 2672: 327–338. Xuan, Y., J. Argote, and C. F. Daganzo. (2011). Dynamic Bus Holding Strategies for Schedule Reliability: Optimal Linear Control and Performance Analysis. Transportation Research Part B: Methodological, Vol. 45, No. 10: 1831–1845. Yu, Z., J. Wood, and V. V. Gayah. (2016). Regression Models for Real-Time Bus Occupancy Prediction. Presented at 95th Annual Meeting of the Transportation Research Board, Washington, D.C. Zhang, H., S. Zhao, Y. Cao, H. Liu, and S. Liang. (2017). Real-Time Integrated Limited-Stop and Short-Turning Bus Control with Stochastic Travel Time. Journal of Advanced Transportation, Vol. 2017: 1–9. Zhang, S., and H. K. Lo. (2018). Two-Way-Looking Self-Equalizing Headway Control for Bus Operations. Transportation Research Part B: Methodological, Vol. 110: 280–301. Zhao, J., S. Bukkapatnam, and M. Dessouky. (2003). Distributed Architecture for Real-Time Coordination of Bus Holding in Transit Networks. IEEE Transactions on Intelligent Transportation Systems, Vol. 4, No. 1: 43–51. Zhao, S., C. Lu, S. Liang, and H. Liu. (2016). A Self-Adjusting Method to Resist Bus Bunching Based on Boarding Limits. Mathematical Problems in Engineering, Vol. 2016: 1–7. Zolfaghari, S., N. Azizi, and M. Y. Jaber. (2004). A Model for Holding Strategy in Public Transit Systems with Real-Time Information. International Journal of Transport Management, Vol. 2, No. 2: 99–110.