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Original Articles

A Review on Level of Service Analysis of Urban Streets

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Pages 219-238 | Received 04 Oct 2012, Accepted 21 Feb 2013, Published online: 16 Apr 2013

References

  • Arasan , V. T. and Vedagiri , P. 2010 . Study of the impact of exclusive bus lane under highly heterogeneous traffic condition . Public Transport , 2 ( 1 ) : 135 – 155 . (doi:10.1007/s12469-010-0021-x)
  • Azimi , M. and Zhang , Y. 2010 . Categorizing freeway flow conditions by using clustering methods . Journal of the Transportation Research Board , 2173 : 105 – 114 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/2173-13)
  • Ballis, A. (2004). Introducing level-of-service standards for intermodal freight terminals (Transportation Research Record, No. 1873, pp. 79–88). Washington, DC: TRB, National Research Council.
  • Basu , D. , Maitra Roy , S. and Maitra , B. 2006 . Modeling passenger car equivalency at an urban mid-block using stream speed as measure of equivalency . International Journal of Transport Economics, Engineering and Law, European Transport , 34 : 75 – 87 .
  • Baumgaertner, W. E. (1996). Levels of service: Getting ready for the 21st century. ITE Journal, 66(1), 36–39.
  • Benz, R. J., & Ogden, M. A. (1996). Development and benefits of computer aided travel time data collection (Transportation Research Record, 1920, pp. 1–7). Washington, DC: Transportation Research Board.
  • Bhuyan , P. K. and Rao , K. V. K. 2010 . FCM clustering using GPS data for defining level of service criteria of urban streets in Indian context . Transport Problems , 5 ( 4 ) : 105 – 113 .
  • Bhuyan , P. K. and Rao , K. V. K. 2011 . Defining level of service criteria of urban streets in Indian context . European Transport , : 38 – 52 .
  • Bhuyan , P. K. and Rao , K. V. K. 2012 . Defining los criteria of urban streets using GPS data: k-means and k-medoid clustering in Indian context . Transport , 27 ( 2 ) : 149 – 157 . (doi:10.3846/16484142.2012.692354)
  • Brilon, W. (2000, June 27–July 1). Traffic flow analysis beyond traditional methods. Transportation Research Circular E-C018: 4th international symposium on highway capacity, Maui, Hawaii. Washington, DC: Transportation Research Board, pp. 26–41.
  • Brilon, W., & Estel, A. (2010). Differentiated analysis of level of service F within the German highway capacity manual (Transportation Research Board, No. 2173, pp. 36–44). Washington, DC: Transportation Research Board of the National Academies.
  • Cameron, R. (1996). G3F7: An expanded LOS gradation system. ITE Journal, 66, 40–41.
  • Cao , S. , Yuan , Z. , Li , Y. , Hu , P. and Johnson , L. 2009 . Study on service-level classification of platforms in Beijing urban rail transit . Journal of the Transportation Research Board , 2112 : 127 – 135 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/2112-16)
  • Chakroborthy, P., & Kikuchi, S. (1990). Application of fuzzy set theory to the analysis of capacity and level of service of highways. Proceedings of first international symposium on uncertainty modeling and analysis, IEEE Computer Press, College Park, MD, pp. 146–150.
  • Chen , X. , Li , D. , Ma , N. and Shao , C. 2009 . Prediction of user perceptions of signalized intersection level of service based on fuzzy neural networks . Journal of the Transportation Research Board , 2130 : 7 – 15 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/2130-02)
  • Cheol, O., & Stephen, G. R. (2002). Real-time inductive-signature-based level of service for signalized intersections. Transportation Research Record, 1802, 97–104.
  • Chu, X., & Baltes, M. R. (2003). Measuring pedestrian quality of service for midblock street crossings selection of potential determinants (Transportation Research Record, No. 1828, pp. 89–97). Washington, DC: TRB, National Research Council.
  • Clark, I. (2008, November). Level of service F: Is it really bad as it gets? IPENZ transportation group technical conference, New Plymouth, New Zealand.
  • Dandan , T. , Wei , W. , Jian , L. and Yang , B. 2007 . Research on methods of assessing pedestrian level of service for sidewalk . Journal of Transportation Systems Engineering and Information Technology , 7 ( 5 ) : 74 – 79 . (doi:10.1016/S1570-6672(07)60041-5)
  • Deshpande , R. , Nathan , H. G. and Marguerite , L. Z. 2010 . Urban street performance level of service and quality of progression analysis . Journal of the Transportation Research Board , 2173 : 57 – 63 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/2173-07)
  • Dixon, L. B. (1996). Bicycle and pedestrian level-of-service performance measures and standards for congestion management systems (Transportation Research Record, No. 1538, pp. 1–9). Washington, DC: TRB, National Research Council.
  • Dowling, R., Reinke, D., Flannery, A., Ryus, P., Vandehey, M., Petritsch, T., … Bonneson, J. (2008a). Multimodal level of service analysis for urban streets (NCHRP Report 616, pp. 1–55). Washington, DC: TRB.
  • Dowling , R. , Flannery , A. , Landis , B. , Petritsch , T. , Rouphail , N. and Ryus , P. 2008b . Multimodal level of service for urban streets . Journal of the Transportation Research Board , 2071 : 1 – 7 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/2071-01)
  • Dowling, R. G., McLeod, D., Guttenplan, M., & Zegeer, J. D. (2002). Multimodal corridor level-of-service analysis (Transportation Research Record, No. 1802, pp. 1–6). Washington, DC: TRB, National Research Council.
  • Fang , F. C. and Pecheux , K. K. 2009 . Fuzzy data mining approach for quantifying signalized intersection level of services based on user perceptions . Journal of Transportation Engineering , 135 ( 6 ) : 349 – 358 . (doi:10.1061/(ASCE)0733-947X(2009)135:6(349))
  • Flannery , A. , Wochinger , K. and Martin , A. 2005 . Driver assessment of service quality on urban streets . Journal of the Transportation Research Board , 1920 : 25 – 31 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/1920-03)
  • Flannery, A., Rouphail, N., & Reinke, D. (2008). Analysis and modeling of automobile users’ perceptions of quality of service on urban streets (Transportation Research Record, No. 2071, pp. 26–34). Washington, DC: TRB, National Research Council.
  • Galicia , L. D. , Rajbhandari , R. , Cheu , R. L. and Aldrete , R. M. 2011 . Analysis of transit service coverage level-of-service measures at border region and suggested alternative procedure . Journal of the Transportation Research Board , 2216 : 139 – 147 . (Washington, DC: Transportation Research Board of the National Academies (doi:10.3141/2216-15)
  • Guttenplan, M., Landis, B. W., Crider, L., & McLeod, D. S. (2001). Multimodal level-of-service analysis at planning level (Transportation Research Record, No. 1776, pp. 151–158). Washington, DC: TRB, National Research Council.
  • HCM . 1965 . Highway capacity manual , Washington , DC : Transportation Research Board .
  • HCM . 1985 . Highway capacity manual , Washington , DC : Transportation Research Board .
  • HCM . 2000 . Highway capacity manual , Washington , DC : Transportation Research Board .
  • HCM . 2010 . Highway capacity manual , Washington , DC : Transportation Research Board .
  • Hensher , D. A. and Li , Z. 2012 . Ridership drivers of bus rapid transit systems . Transportation , 39 ( 6 ) : 1209 – 1221 . (doi:10.1007/s11116-012-9392-y)
  • IRC. (1990). Guidelines for capacity of urban roads in plain areas (Indian Road Congress, No. 106). New Delhi.
  • Ivana , C. , Zvonko , K. and Marjana , P. 2011 . Hybrid approach for urban roads classification based on GPS tracks and road subsegments data . Promet-Traffic & Transportation , 23 ( 4 ) : 289 – 296 .
  • Jensen, S. U. (2007). Pedestrian and bicycle level of service on roadway segments (Transportation Research Record, No. 2031, pp. 1–17). Washington, DC: TRB, National Research Council.
  • Jensen, S. U., & Trafitec, A. (2007, January). Pedestrian and bi-cycle level of service on roadway segments. 86th annual meeting of the Transportation Research Board, National Research Council, Washington, DC, pp. 1–18.
  • Kikuchi, S., & Chakroborty, P. (2006). Framework to represent uncertainty when level of service is determined (Transportation Research Record, No. 1968, pp. 53–62). Washington, DC: TRB, National Research Council.
  • Kita, H., & Fujiwara, E. (1995). Reconsideration on the level of service and a proposed measure. Proceedings of 15th annual meeting of JSTE, Japanese, pp. 25–28.
  • Kittelson, W. K., & Roess, R. P. (2001). Highway capacity analysis after the highway capacity manual 2000 (Transportation Research Record, 1776). Washington, DC: Transportation Research Board, pp. 10–16.
  • Klodzinsk, J., & Al-Deek, H. M. (2002). Proposed level-of-service methodology for toll plazas (Transportation Research Record, No. 1802). Washington, DC: TRB, National Research Council, pp. 86–96.
  • Ko , B. , Washburn , S. S. and McLeod , D. S. 2009 . Performance measures for truck level of service an exploratory survey analysis . Journal of the Transportation Research Board , 2130 : 120 – 128 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/2130-15)
  • Landis, V. R., Vattikuti, V. R., Ottenberg, R. M., Petritsch, T. A., Guttenplan, M., & Crider, L. B. (2003). Intersection level of service for the bicycle through movement (Transportation Research Record, No. 1828, pp. 101–106). Washington, DC: TRB, National Research Council.
  • Laviolette , M. , Seaman , J. W. Jr. , Barrett , J. D. and Woodall , W. H. 1995 . A probabilistic and statistical view of fuzzy methods (with discussion) . Technometrics , 37 : 249 – 292 . (doi:10.1080/00401706.1995.10484327)
  • Lee, D., Kim, T. G., & Pietrucha, M. T. (2007). Incorporation of transportation user perception into the evaluation of service quality of signalized intersections using fuzzy aggregation (Transportation Research Record, 2027). Washington, DC: Transportation Research Board, pp. 1–32.
  • Lin , F. B. and Su , C. W. 1994 . Level-of-service analysis of toll plazas on freeway main lines . Journal of Transportation Engineering , 120 ( 3 ) : 246 – 263 . (doi:10.1061/(ASCE)0733-947X(1994)120:2(246))
  • Lingras , P. 1995 . Classifying highways: Hierarchical grouping versus kohonen neural networks . Journal of Transportation Engineering , 121 ( 4 ) : 364 – 368 . (doi:10.1061/(ASCE)0733-947X(1995)121:4(364))
  • Lingras , P. 2001 . Statistical and genetic algorithms classification of highways . Journal of Transportation Engineering , 127 ( 4 ) : 237 – 243 . (doi:10.1061/(ASCE)0733-947X(2001)127:3(237))
  • Madanat, S. M., Cassidy, M. J., & Ibrahim, W. H. W. (1994). Methodology for determining level of service categories using attitudinal data (Transportation Research Record, No. 1457, pp. 59–62). Washington, DC: TRB, National Research Council.
  • Ma, M., Yan, X., Huang, H., & Abdel-Aty, M. (2009). Occupational driver safety of public transportation: Risk perception, attitudes, and driving behavior. 89th annual meeting of the Transportation Research Board, National Research Council, Washington, DC.
  • Maitra , B. , Sikdar , P. K. and Dhingra , S. L. 1999 . Modeling congestion on urban roads and assessing level of service . Journal of Transportation Engineering , 125 ( 4 ) : 508 – 514 . (doi:10.1061/(ASCE)0733-947X(1999)125:6(508))
  • Margiotta , R. and Taylor , R. 2006a . Traffic congestion and reliability: Making the connection with operations, Part 1: Measuring and tracking reliability . ITE Journal , 76 ( 2 ) : 24 – 28 .
  • Margiotta , R. and Taylor , R. 2006b . Traffic congestion and reliability: Making the connection with operations, Part 1: Measuring and tracking reliability . Institute of Transportation Engineers , 76 ( 2 ) : 24 – 28 .
  • Margiotta , R. and Taylor , R. 2006c . Traffic congestion and reliability: Making the connection with operations, Part 2: Operations strategies . Institute of Transportation Engineers , 76 ( 3 ) : 30 – 38 .
  • Marwah, B. R., & Singh, B. (2000, June–July). Level of service classification for urban heterogeneous traffic: A case study of Kanpur metropolis. Paper presented at the fourth international symposium on highway capacity, Hawaii.
  • Mohapatra , S. S. , Bhuyan , P. K. and Krishna Rao , K. V. 2012 . Genetic algorithm fuzzy clustering using GPS data for defining level of service criteria of urban streets . Journal of European Transport , 49 : 1 – 19 .
  • Muraleetharan, T., & Hagiwara, T. (2007, January). Overall level of service of the urban working environment and its influence on pedestrian route choice behavior: Analysis of pedestrian travel in Sapporo, Japan. 86th annual meeting of the Transportation Research Board, National Research Council, Washington, DC, pp. 1–16.
  • Ndoh, N. N., & Ashford, N. J. (1994, January). Evaluation of transportation level of service using fuzzy sets. 73rd annual meeting of TRB, Transportation Research Board, Washington, DC.
  • Pattnaik , S. B. and Kumar , K. R. 1996 . Level of service of urban roads based on users perception . Civil Engineering Systems , 14 : 87 – 110 . (doi:10.1080/02630259608970213)
  • Pecheux, K., Flannery, A., Wochinger, K., Lappin, J., & Rephlo, J. (2004). Automobile drivers’ perceptions of service quality on urban streets (Transportation Research Record, No. 1883, pp. 167–175). Washington, DC: Transportation Research Board.
  • Pecheux, K. K., Pietrucha, M. T., & Jovanis, P. P. (2000, January). User perception of level of service at signalized intersections: Methodological issues. 79th annual meeting of TRB, Transportation Research Board, Washington, DC, pp. 322–335.
  • Pecheux, K. K., Pietrucha, M. T., & Jovanis, P. P. (2003). Quality of service and customer satisfaction on arterial streets (Final Report Submitted to U.S. Department of Transportation, pp. 1–103).
  • Petritsch, T. A., Landis, B. W., McLeod, P. S., Huang, H. F., Challa, S., Skaggs, C. L., … Vattikuti, V. (2006). Pedestrian level-of-service model for urban arterial facilities with sidewalks (Transportation Research Record, No. 1982, pp. 84–89). Washington, DC: TRB, National Research Council.
  • Prassas, E. S., Roess, R. P., & Mcshane, W. R. (1996). Cluster analysis as tool in traffic engineering (Transportation Research Record, 1551, pp. 39–48). Washington, DC: TRB, National Research Council.
  • Pursula, M., & Minnaweurlander, M. (1999). Modeling level-of-service factors in public transportation route choice (Transportation Research Record, No. 1669, pp. 30–37). Washington, DC: TRB, National Research Council.
  • Roess , R. P. , Vandehey , M. A. and Kittelson , W. 2010 . Level of service 2010 and beyond . Journal of the Transportation Research Board , 2173 : 20 – 27 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/2173-03)
  • Romana, M. G., & Perez, I. (2006). Measures of effectiveness for level-of-service assessment of two-lane roads: An alternative proposal using a threshold speed (Transportation Research Record No. 1988, pp. 56–62). Washington, DC: TRB, National Research Council.
  • Shao , M. and Sun , L. 2010 . United evaluation model of traffic operation level for different types of urban road . Journal of Tongji University , 38 ( 11 ) : 1593 – 1598 .
  • Shouhua , C. , Zhenzhou , Y. , Chiqing , Z. and Li , Z. 2009 . LOS classification for urban rail transit passages based on passenger perceptions . Journal of Transportation Systems Engineering and Information Technology , 9 ( 2 ) : 99 – 104 . (doi:10.1016/S1570-6672(08)60059-8)
  • Spring, G. S. (1999, June). Integration of safety and the highway capacity manual. Transportation Research Circular E-C018: 4th international symposium on highway capacity, Transportation Research Board, Washington, DC, pp. 63–72.
  • Tan , D. , Wang , W. , Lu , J. and Bian , Y. 2007 . Research on methods of assessing pedestrian level of service for sidewalk . Journal of Transportation Systems Engineering and Information Technology , 7 ( 5 ) : 74 – 79 . (doi:10.1016/S1570-6672(07)60041-5)
  • Turner, S. M., Eisele, W. L., Benz, R. J., & Holdener, D. J. (1998). Travel time data collection handbook. College Station: Texas Transportation Institute, The Texas A&M University System.
  • Xin, Y., Fu, L., & Saccomanno, F. F. (2005). Assessing transit level of service along travel corridors case study using the transit capacity and quality of service manual (Transportation Research Record, No. 1927, pp. 259–267) Washington, DC: TRB, National Research Council.
  • Xu , J. , Wong , S. C. , Yang , H. and Tong , C. O. 1999 . Modeling level of urban taxi services using neural network . Journal of Transportation Engineering , 125 ( 3 ) : 216 – 223 . (doi:10.1061/(ASCE)0733-947X(1999)125:3(216))
  • Zadeh , L. A. 1965 . Fuzzy sets . Information and Control , 8 : 338 – 353 . (doi:10.1016/S0019-9958(65)90241-X)
  • Zegeer , J. D. , Blogg , M. , Nguyen , K. and Vandehey , M. 2008 . Default values for highway capacity and level-of-service analyses . Journal of the Transportation Research Board , 2071 : 35 – 43 . (Washington, DC: Transportation Research Board of the National Academies) (doi:10.3141/2071-05)
  • Zolnik, E. J., & Cromley, E. K. (2006, January). A Poission-multilevel, bicycle level-of-service methodology for rural road networks. 86th annual meeting of the Transportation Research Board, National Research Council, Washington, DC, pp. 1–13.

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