Advanced transit signal priority control with online microsimulation-based transit prediction model

Transportation Research Record

Volumn , Issue 1925, 2005, Pages 185-194

  Lee, Jinwoo ^a   Shalaby, Amer ^a   Greenough, John ^b   Bowie, Mike ^c   Hung, Stanley ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b LEA Consulting Ltd   (Canada)

^c Fortran Traffic Systems   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEMS; GROUND VEHICLES; MATHEMATICAL MODELS; ONLINE SYSTEMS; REAL TIME SYSTEMS;

MICROSIMULATION-BASED TRANSIT PREDICTION MODEL; TRANSIT SIGNAL PRIORITY (TSP); VEHICLE DELAYS;

SIGNAL PROCESSING;

EID: 33646008847     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1925-19     Document Type: Conference Paper

References (10)

1. Evans, H., and G. Skiles. Improving Public Transit Through Bus Preemption of Traffic Signals. Traffic Quarterly, Vol. 24, No. 4, 1970, pp. 531-543.
2. Wattleworth, J. A., K. G. Courage, and C. E. Wallace. Evaluation of Bus-Priority Strategies on Northwest Seventh Avenue in Miami. In Transportation Research Record 626, TRB, National Research Council, Washington, D.C., 1977, pp. 32-35.
3. Wood, K., and R. T. Baker. Using SCOOT Weightings to Benefit Strategic Routes. Traffic Engineering and Control, 1992, pp. 226-235.
4. Abdelfattah, A. M., and A. M. Khan. Models for Predicting Bus Delays. In Transportation Research Record 1623, TRB, National Research Council, Washington, D.C., 1998, pp. 8-15.
5. Abkowitz, M. D., and I. Engelstein. Factors Affecting Running Time on Transit Routes. Transportation Research, Vol. 17A, No. 2, 1983, pp. 107-113.
6. Wall, Z., and D. J. Dailey. Algorithm for Predicting Arrival Time of Mass Transit Vehicles Using Automatic Vehicles Location Data. Presented at 78th Annual Meeting of the Transportation Research Board, Washington, D.C., 1999.
7. Shalaby, A., and A. Farhan. Prediction Model of Bus Arrival and Departure Time Using Automatic Vehicles Location and APC Data. Journal of Public Transportation, Vol. 7, No. 1, 2004, pp. 41-61.
8. Chien, S. I., Y. Ding, and C. Wei. Dynamic Bus Arrival Time Prediction with Artificial Neural Networks. Journal of Transportation Engineering, Vol. 128, No. 5, 2002, pp. 429-438.
9. Kalaputapu, R., and M. J. Demetsky. Modeling Schedule Deviations of Buses Using Automatic Vehicle-Location Data and Artificial Neural Networks. In Transportation Research Record 1497, TRB, National Research Council, Washington, D.C., 1995, pp. 44-52.
10. Lee, J., and A. Shalaby. A Microscopic Simulation Based Transit Travel Time Prediction Model. Working Paper. Transport Canada, Ottawa, Ontario, forthcoming.