Optimizing traffic signal design to minimize delay

dc.contributor.authorBhuiyan, M. A. Afrahim
dc.contributor.authorKhan, Md. Rizwane Muztaba
dc.contributor.authorKhan, Irtiza Rafid
dc.date.accessioned2021-09-13T05:31:11Z
dc.date.available2021-09-13T05:31:11Z
dc.date.issued2014-11-15
dc.descriptionSupervised by Dr. Shakil M. Rifaat Associate Professor, Department of Civil and Environmental Engineering (CEE) Islamic University of Technology (IUT), Board Bazar, Gazipur, Bangladesh.en_US
dc.description.abstractEvery year, millions of dollars are lost in the global economy due to traffic congestion. Long hours spent on congested roadways are draining away valuable time, energy and money from the economy. Thus delay should be reduced to increase productivity and to minimize environmental pollution. The most economical way of this delay reduction is to redesign the signal timing because this design is not associated with spending money as well as consuming longer time. Only readjustment of signal timing is sufficient for this purpose. Hence, to optimize the signal timing for reducing delays has been taken as the main objective of this study. An intersection in Dhaka city (the capital of Bangladesh) has been chosen to achieve the goal of this study. This study will suggest that the new timing of the signal reduces total delay for all movements than the existing one. Particularly it will reduce the delay significantly for certain movements during peak hours. The result of the study will clearly justify the improvement of the junction performance by reducing delay in new signal timing.en_US
dc.identifier.citation1. Arnott R., Small K., 1994, the economics of Traffic Congestion. 2. Anas A., Arnott R., 1998, Urban Spatial Structure, Journal of Economic Literature 36: 1426- 1464. 3. Barth M., Boriboonsomsim k. 2008. Real world CO2 impact of traffic congestion, University of California. 4. Cervero, R., 1989, Land-Use Mixing and Suburban Mobility, Reprint UCTC No. 3 The University of California Transportation Center University of California. 5. Dakyes, Panse S., Ogbuli L. N., 2012, the Impact of Transportation on the Socio-Economic Development of Rural Areas of Gwagwalada Area Council, Nigeria 6. Deakin E. A., 1990, Suburban Traffic Congestion, Land Use and Transportation Planning Issues: Public Policy Options, Paper UCTC No. 57 The University of California Transportation Center 7. Figure A: Adapted from database on greenhouse gas emissions by National Institute for Environmental Studies/Greenhouse Gas Inventory Office of Japan (GIO). 8. Figure B: Adopted from “Products by combustion” associated by Department of Energy & mineral Engineering, Pennsylvania State University. 9. Figure C: Adopted from “Products by combustion” associated by Department of Energy & mineral Engineering, Pennsylvania State University. 10. Figure D: Adopted from “Products by combustion” associated by Department of Energy & mineral Engineering, Pennsylvania State University. 11. Fujita M. A. T., François J., 1996, Economics of Agglomeration, Journal of the Japanese and International Economies 10(4): 339--‐378. 12. Greene D. L. 2006. Reducing G. H. G. emission from transportation. 13. Giuliano G., 2004, Impacts of Transportation Investments. 14. Glaeser E. L., Kahn M. E., 2003, Sprawl and Urban Growth, Harvard Institute of Economic Research. 15. Hartman J. L., 2008, Essays on Congestion Economics, University of California Transportation Center UCTC Dissertation No. 160. 66 16. Hansen, W. G., 1959, How accessibility shapes land use. Journal of the American Planning Institute 25:73--‐76. UCTC-FR-2011-05. 17. Hanson S., Giuliano G., the Geography of Urban Transportation. 18. Hansen, W. G., 1959, how accessibility shapes land use, Journal of the American Planning Institute 25:73--‐76. 19. Handy S. L., Niemier D. A., 1997, Measuring accessibility: an exploration of issues and alternatives, Environment and Planning A29(7): 1175--‐1194. 20. Handy S. L., 2002, Accessibility vs. Mobility Enhancing Strategies for Addressing Automobile, Dependence in the U.S., Paper Prepared for the European Conference of Ministers of Transport. May. 32 pages. 21. Krzyzanowski M. et al., 2005, Health effects of transport-related air pollution, WHO copyright 2005, Europe. 22. Khilman T., 2004, Noise pollution in cities, Curitiba and Goteborg as examples. 23. Lajunen T., Parker D., Summala H., 1999, does traffic congestion increase driver aggression? , Transportation Research Part F: Traffic Psychology and Behavior , Volume 2, Pages 225– 236. 24. Lynch, K., 1981, A Theory of Good City Form. Boston. 25. Levinson D., Krizek k., 2005, Access to Destinations. Amsterdam, Elsevier. 26. Levine J., Garb Y., 2002, Congestion pricing's conditional promise: promotion of accessibility or mobility?, Transport Policy 9(3): 179--‐188. 27. Mitchell P., 2009, the link between speed and road traffic noise, UK Noise Association (UKNA). 28. Mondschein A., Taylor Brian D., Brumbaugh S., 2011, Congestion and Accessibility: What’s the Relationship?, University of California Transportation Center. 29. Quddus M. A., Wang C., Stephen G., 2010, Road Traffic Congestion and Crash Severity: Econometric Analysis Using Ordered Response Models, J. Transp. Eng. 136:424-435. 30. Schrank, D., Lomax T. 2005. The 2005 Urban Mobility Report, Research report, Texas Transportation Institute, Texas. 31. Shiner D., 1998, Aggressive driving: the contribution of the drivers and situation. Transportation Research Part F, 1, (137–160). 67 32. Schrank D., Lomax T., 2009, Urban Mobility Report, Texas Transportation Institute. 33. Schrank, D., Lomax T., 2007, Urban Mobility Report. College Station, TX, Texas Transportation Institute. 34. Todaro. M.P., 1981, City Bias and Rural Neglect: The Dilemma of Urban Development. 35. Wachs, M., Kumagai, 1973, Physical Accessibility as Social Indicator, Socioeconomic Planning Science 7: 437--‐456. 36. Werner R., Evans G. W., 2005, Commuting Stress: Psychophysiological Effects of a Trip and Spillover into the Workplace, Journal of the Transportation Research Board 1924: 112--‐117. 37. EU emissions standards set by VCA Office, Executive agency, Department of Transport, United Kingdom. 38. Adopted from EU emissions standards set by VCA Office, Executive agency, Department of Transport, United Kingdom. 39. Byungkyu Park, Carroll J. Messer, Thomas Urbanik , “Traffic Signal Optimization Program for Oversaturated Conditions: Genetic Algorithm Approach” (2007) 40. Dazhi Sun, Rahim F. Benekohal and S. Travis Waller “Bi-level Programming Formulation and Heuristic Solution Approach for Dynamic Traffic Signal Optimization” (2006) 41. [8] Sanchez-Medina, J.J. ; Galan-Moreno, M.J. ; Rubio-Royo, E. “Traffic Signal Optimization in “La Almozara” District in Saragossa Under Congestion Conditions, Using Genetic Algorithms, Traffic Micro simulation, and Cluster Computing” ,(2010).en_US
dc.identifier.urihttp://hdl.handle.net/123456789/970
dc.language.isoenen_US
dc.publisherDepartment of Civil and Environment Engineering, Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladeshen_US
dc.titleOptimizing traffic signal design to minimize delayen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Final_Thesis 105419, 105435, 105439.pdf
Size:
1.96 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections