Robust signal timing optimization with environmental concerns

Transportation Research Part C: Emerging Technologies

Volumn 29, Issue , 2013, Pages 55-71

  Zhang, Lihui ^a   Yin, Yafeng ^b   Chen, Shigang ^b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b University of Florida   (United States)

Author keywords

Air pollutant concentration; Bi objective optimization; Traffic delay; Traffic signal timing

Indexed keywords

ATMOSPHERIC MOVEMENTS; GENETIC ALGORITHMS; PARETO PRINCIPLE; RISK ASSESSMENT; TIMING CIRCUITS; TRAFFIC CONTROL; TRAFFIC SIGNALS;

AIR POLLUTANT CONCENTRATIONS; BI-OBJECTIVE OPTIMIZATION; ENVIRONMENTAL CONCERNS; PARETO OPTIMAL SOLUTIONS; POLLUTANT CONCENTRATION; SIGNAL TIMING OPTIMIZATION; TRAFFIC DELAYS; TRAFFIC SIGNAL TIMINGS;

AIR POLLUTION;

ATMOSPHERIC POLLUTION; ENVIRONMENTAL MANAGEMENT; GENETIC ALGORITHM; NUMERICAL MODEL; OPTIMIZATION; ROADSIDE ENVIRONMENT; TRAFFIC EMISSION; TRAFFIC MANAGEMENT;

EID: 84874013127     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2013.01.003     Document Type: Article

References (64)

1. Barth, M., An, F., Younglove, T., Scora, G., Levine, C., Ross, M., Wenzel, T., 2000. Comprehensive Modal Emission Model (CMEM), Version 2.0 User's Guide. Riverside, CA.
2. Ben-Tal A., Chung B., Mandala S.R., Yao T. Robust optimization for emergency logistics planning: risk mitigation in humanitarian relief supply chains. Transportation Research Part B 2011, 45:1177-1189.
3. Bowne N.E. Diffusion rates. Journal of the Air Pollution Control Association 1974, 24:832-835.
4. Briggs, G.A., 1973. Diffusion Estimates for Small Emissions. U.S. National Oceanic and Atmospheric Administration E.R.L. Report ATDL-106.
5. Cai M., Yin Y., Xie M. Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach. Transportation Research Part D 2009, 14:32-41.
6. California Department of Transportation, 1989. CALINE4 - A Dispersion Model for Predicting Air Pollutant Concentrations near Roadways. Final Report Prepared by the Caltrans Division of New Technology and Research, FHWA/CA/TL-84/15.
7. Cambridge Environmental Research Consultants, 2006. ADMS-Roads User Guide 2006. Cambridge, UK.
8. Cambridge Systematics, 2009. Moving Cooler: An Analysis of Transportation Strategies for Reducing Greenhouse Gas Emissions. Urban Land Institute, Washington, DC.
9. Carr, E., Johnson, R., Ireson, R., 2002. User's Guide to HYROAD - The Hybrid Roadway Intersection Model. San Rafael, CA.
10. Cernuschi S., Giugliano M., Cemin A., Giovannini I. Modal analysis of vehicle emission factors. The Science of the Total Environment 1995, 169:175-183.
11. Coelho M.C., Farias T.L., Rouphail N.M. Impact of speed control traffic signals on pollutant emissions. Transportation Research Part D 2005, 10:323-340.
12. Daganzo C.F. The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory. Transportation Research Part B 1994, 28:269-287.
13. Daganzo C.F. The cell transmission model, Part II: network traffic. Transportation Research Part B 1995, 29:79-93.
14. Delucchi M.A., Murphy J.J., McCubbin D.R. The health and visibility cost of air pollution: a comparison of estimation methods. Journal of Environmental Management 2002, 64:139-152.
15. Dennis, R.L., 1978. The Smeared Concentration Approximation Method: A Simplified Air Pollution Dispersion Methodology for Regional Analysis. Research Report RR78-9. International Institute for Applied Systems Analysis, Laxenburg, Austria.
16. Eerens H.C., Sliggers C.J., van den Hout K.D. The CAR model: the Dutch method to determine city street air quality. Atmospheric Environment 1993, 27B:389-399.
17. Environmental Protection Agency, 2002. Methodology for Developing Modal Emission Rates for EPA's Multi-Scale Motor Vehicle and Equipment Emission System. North Carolina State University, EPA Rep. EPA420-R-02-027.
18. Environmental Protection Agency, 2011. Mobile Source Emissions - Past, Present, and Future. (11.06.02). http://www.epa.gov/otaq/invntory/overview/pollutants/carbonmon.htm.
19. Frey, H.C., Rouphail, N.M., Unal, A., Colyar, J.D., 2001. Emission Reduction Through Better Traffic Management: An Empirical Evaluation Based Upon On-Road Measurements. Rep. FHWA/NC/2002-001, North Carolina Department of Transportation, USA.
20. Frey, H.C., Unal, A., Chen, J., 2002. Recommended Strategies for On-Board Emission Data Analysis and Collection for the New Generation Model. NC State University for Office of Transportation and Air Quality, U.S. Environmental Protection Agency, Ann Arbor, Michigan.
21. Hallmark S.L., Fomunung I., Guensler R., Bachman W. Assessing impacts of improved signal timing as a transportation control measure using an activity-specific modeling approach. Transportation Research Record 2000, 1738:49-55.
22. Hirschmann, K., Fellendorf, M., 2010. A Toolbox to Quantify Emission Reductions Due to Signal Control. TRB 89th Annual Meeting Compendium of Papers DVD-ROM, 10-3446, Transportation Research Board, National Research Council, Washington, DC.
23. Jabari, S., He, X., Liu, H., 2009. Responding to the Unexpected: Model and Solution Strategy for Combined Dynamic Evacuee Routing and Officer Deployment. TRB 88th Annual Meeting Compendium of Papers DVD-ROM, 09-2129, Transportation Research Board, National Research Council, Washington, DC.
24. Karoonsoontawong A., Waller S.T. Dynamic continuous network design problem: linear Bi-level programming and Metaheuristic approaches. Transportation Research Record 2006, 1964:104-117.
25. Karoonsoontawong A., Waller S.T. Reactive Tabu search approach for the combined dynamic user equilibrium and traffic signal optimization problem. Transportation Research Record 2009, 2090:29-41.
26. Karoonsoontawong A., Waller S.T. Integrated network capacity expansion and traffic signal optimization problem: robust Bi-level dynamic formulation. Networks and Spatial Economics 2010, 10:525-550.
27. Li Z. Modeling arterial signal optimization with enhanced cell transmission formulations. Journal of Transportation Engineering 2011, 137:445-454.
28. Li X., Li G., Pang S., Yang X., Tian J. Signal timing of intersections using integrated optimization of traffic quality, emissions and fuel consumption: a note. Transportation Research Part D 2004, 9:401-407.
29. Li M., Boriboonsomsin K., Wu G.Y., Zhang W.B., Barth M. Traffic energy and emission reductions at signalized intersections: a study of the benefits of advanced driver information. International Journal of ITS Research 2009, 7:49-58.
30. Liao, T., Machemehl, R., 1996. Optimal Traffic Signal Strategy for Fuel Consumption and Emissions Control at Signalized Intersections. Proceedings of 24th European Transport Forum, Brunel University, England.
31. Lin J., Ge Y.E. Impacts of traffic heterogeneity on roadside air pollution concentration. Transportation Research Part D 2006, 11:166-170.
32. Lin W., Wang C. An enhanced 0-1 mixed integer LP formulation for traffic signal control. IEEE Transactions on Intelligent Transportation Systems 2004, 5:238-245.
33. Lo H. A novel traffic signal control formulation. Transportation Research Part A 1999, 44:433-448.
34. Lo H. A cell-based traffic control formulation: strategies and benefits of dynamic timing plan. Transportation Science 2001, 35:148-164.
35. Lo H., Chang E., Chan Y.C. Dynamic network traffic control. Transportation Research Part A 2001, 35:721-744.
36. Ma, D., Nakamura, H., 2010. Cycle Length Optimization at Isolated Signalized Intersections from the Viewpoint of Emission. Proceedings of the 7th International Conference on Traffic and Transportation Studies, ASCE, pp. 275-284.
37. Madireddy M., De Coensel B., Can A., Degraeuwe B., Beusen B., De Vlieger I., Botteldooren D. Assessment of the impact of speed limit reduction and traffic signal coordination on vehicle emissions using an integrated approach. Transportation Research Part D 2011, 16:504-508.
38. McElroy J.L. A comparative study of urban and rural dispersion. Journal of Applied Meteorology 1969, 8:19-31.
39. Meng Q., Khoo H.L. A Pareto-optimization approach for a fair ramp metering. Transportation Research Part C 2010, 18:489-506.
40. Osyczka A., Kundu S. A modified distance method for multi-criteria optimization, using genetic algorithms. Computers & Industrial Engineering 1996, 30:871-882.
41. Park B., Yun I., Ahn K. Stochastic optimization of sustainable traffic signal control. International Journal of Sustainable Transportation 2009, 3:263-284.
42. Pavlis Y., Recker W. A mathematical logic approach for the transformation of the linear conditional piecewise functions of dispersion-and-store and cell transmission traffic flow models into mixed-integer form. Transportation Science 2009, 43:98-116.
43. Rakha H., Van Aerde M., Ahn K., Trani A. Requirements for evaluating traffic signal control impacts on energy and emissions based on instantaneous speed and acceleration measurements. Transportation Research Record 2000, 1738:56-67.
44. Rakha H., Ahn K., Trani A. A development of VT-micro model for estimating hot stabilized light duty vehicle and truck emissions. Transportation Research Part D 2004, 9:49-74.
45. Rockafellar R.T., Uryasev S. Optimization of conditional value-at-risk. Journal of Risk 2000, 2:21-41.
46. Rockafellar R.T., Uryasev S. Conditional value-at-risk for general loss distribution. Journal of Banking & Finance 2002, 26:1443-1471.
47. Sharma A.R., Kharol S.K., Badarinath K.V.S. Influence of vehicular traffic on urban air quality - a case study of Hyderabad, India. Transportation Research Part D 2010, 15:154-159.
48. Stevanovic A., Stevanovic J., Zhang K., Batterman S. Optimizing traffic control to reduce fuel consumption and vehicular emissions: an integrated approach of VISSIM, CMEM, and VISGAOST. Transportation Research Record 2009, 2128:105-113.
49. Sun D., Benekohal R.F., Waller S.T. Bi-level programming formulation and heuristic solution approach for dynamic traffic signal optimization. Computer-Aided Civil and Infrastructure Engineering 2006, 21:321-333.
50. Tao, F., Shi, Q., Yu, L., 2011. Evaluation of Effectiveness of Coordinated Signal Control on Reducing Vehicle Emissions During Peak Hours Versus Non-Peak Hours. TRB 90th Annual Meeting Compendium of Papers DVD-ROM, 11-2124, Transportation Research Board, National Research Council, Washington, DC.
51. Tuerprasert K., Aswakul C. Multiclass cell transmission model for heterogeneous mobility in general topology of road network. Journal of Intelligent Transportation Systems 2010, 14:68-82.
52. Turner D.B. Workbook of Atmospheric Dispersion Estimates: An Introduction to Dispersion Modeling 1994, CRC Press.
53. Unal A., Rouphail N.M., Frey H.C. Effect of arterial signalization and level of service on measured vehicle emissions. Transportation Research Record 2003, 1842:47-56.
54. United States Department of Agriculture, 2011. National Water & Climate Center: Climate Products: Climate Data: Wind Rose Data. (accessed 02.06.11). ftp://ftp.wcc.nrcs.usda.gov/downloads/climate/windrose/california/san_francisco/.
55. Wieringa J. Representative roughness parameters for homogeneous terrain. Boundary-Layer Meteorology 1993, 63:323-363.
56. Wong G.C.K., Wong S.C. A multi-class traffic flow model - an extension of LWR model with heterogeneous drivers. Transportation Research Part A 2002, 36:827-841.
57. Xie C., Lin D.Y., Waller S.T. A dynamic evacuation network optimization problem with lane reversal and crossing elimination strategies. Transportation Research Part E 2010, 46:295-316.
58. Yin Y. Multi-objective Bi-level optimization for transportation planning and management problems. Journal of Advanced Transportation 2002, 36:93-105.
59. Yin Y. Robust optimal traffic signal timing. Transportation Research Part B 2008, 42:911-924.
60. Yin Y., Lawphongpanich S. Internalizing emission externality on road networks. Transportation Research Part D 2006, 11:292-301.
61. Yu L., Jia S.C., Shi Q.Y. Research on transportation-related emissions: current status and future directions. Journal of the Air and Waste Management Association 2009, 59:183-195.
62. Zhang L., Yin Y. Robust synchronization of actuated signals on arterials. Transportation Research Record 2008, 2080:111-119.
63. Zhang L., Yin Y., Lou Y. Robust signal timing for arterials under day-to-day demand variations. Transportation Research Record 2010, 2192:156-166.
64. Ziliaskopoulos A.K. A linear programming model for the single destination system optimum dynamic traffic assignment problem. Transportation Science 2000, 34:37-49.