Laserfiche WebLink
Traffic Impact Study March 24,2004 <br /> Proposed RMC Pacific Mining Site Page 4 <br /> r <br /> traffic related to the existing mining sites was determined to be negligible during the PM peak <br /> hour of the adjacent roads relative to the AM peak hour volumes. <br /> ` Cumulative-without-project traffic volumes are shown in Figures 17 and 18 and were determined <br /> by adding the existing traffic volumes and the approved-project traffic volumes. Cumulative- <br /> with-project traffic volumes for Haul Routes 1 and 2 are shown in Figures 19 and 22. <br /> 6.3—Future (Year 2025) Traffic Volumes <br /> �. The San Joaquin County travel model is maintained by the San Joaquin County Council of <br /> Governments (SJCCOG). The model includes peak-hour directional travel volume estimates for <br /> the base year 1999 and for the future year 2025. Travel model data provided by SJCCOG is <br /> presented in Appendix A. The future peak-hour volumes were estimated base on the Increment <br /> Method described in the Council of Fresno County Governments Recommended Procedures for <br /> Using Traffic Projections from the Fresno COG Travel Model dated January 2002. Although the <br /> .. Increment Method was developed for the Fresno County model, it is the opinion of Peters <br /> Engineering Group that the methods are applicable to other travel models. The Increment <br /> Method estimates the future growth in traffic volumes by determining the difference between the <br /> ■- year 2025 travel model and the base year travel model volumes. This difference indicates the <br /> growth in traffic volumes that is predicted by the model between the base year and the year 2025. <br /> This growth is then added to the existing volumes determined by actual traffic counts. Future <br /> �- turning movements were determined based on the methods presented in Chapter 8 of the <br /> Transportation Research Board National Cooperative Highway Research Program Report 255 <br /> entitled"Highway Traffic Data for Urbanized Area Project Planning and Design". <br /> In some instances, the travel model predicted negative growth. However, a minimum annual <br /> growth rate of 2.5 percent was maintained for each turning movement. Since travel models can <br /> ►- be unreliable in rural areas, this minimum growth rate was applied to maintain a conservative <br /> approach to the anticipated growth in traffic volumes. Based on data provided in the Draft <br /> Environmental Impact Report dated September 10, 1993 by ESA for the Granite Construction <br /> Company project, the average daily traffic volume on State Route 132 was 13,500 in 1992. Data <br /> available on the Caltrans web site <br /> (www.dot.ca.gov/hq/traffops/saferesr/trafdata/2002all/r118133i.htm) indicates an average daily <br /> traffic volume of approximately 18,000 in 2002. This equates to an average annual growth rate <br /> of 2.9 percent. Therefore, a minimum growth rate of 2.5 percent was maintained for purposes of <br /> this report. Future traffic volumes without the project are presented in Figures 23 and 24. <br /> Future-with-project traffic volumes are presented in Figures 25 through 28 for Haul Routes 1 and <br /> 2. <br /> r_ <br /> 6.4—Traffic Index <br /> The traffic index is a measure of the number of equivalent single axle loads (ESALs) expected <br /> ` over the design period, and is described in detail in the Caltrans Highway Design Manual. The <br /> existing ESALs on Blewett and Bird Roads were estimated by performing 24-hour traffic counts <br /> and by a review of the Environmental Impact Reports for Brown Sand and Gravel and Teichert <br /> ` Aggregates. The following table presents a summary of the traffic index analyses. The <br /> supporting calculations are presented in Appendix A. <br />