Witzke, E., Bhamidipati, C., Diersen, M., Wang, Z., & Lee, E. (2016). Agricultural Freight Data Improvement (Report No. SD2014-09-F). South Dakota. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/85451
Witzke, Erika, Chiranjivi Bhamidipati, Matthew Diersen, Zhiguang Wang, and EunSu Lee. Agricultural Freight Data Improvement. Report no. SD2014-09-F. South Dakota. Department of Transportation, 2016. https://rosap.ntl.bts.gov/view/dot/85451.
Witzke, Erika, et al. Agricultural Freight Data Improvement. South Dakota. Department of Transportation, 2016, Report no. SD2014-09-F, ROSA P. https://rosap.ntl.bts.gov/view/dot/85451.
Historical trends of traffic and truck counts have been the primary means used by the South Dakota Department of Transportation (SDDOT) to forecast traffic volumes necessary for planning roadway improvements and maintenance. However, historical trends do not reflect the rapid changes in agricultural production and the resulting transportation activity in the State. To better explain agricultural freight demand, predict impacts on transportation systems, and improve policy and transportation investment decisions, this research developed a methodology to integrate new sources of data beyond conventional, historical traffic counts to make more reliable decisions and to improve transportation system performance.
Witzke, E., Bhamidipati, C., Diersen, M., Wang, Z., & Lee, E. (2016). Agricultural Freight Data Improvement (Report No. SD2014-09-F). South Dakota. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/85451
Witzke, Erika, Chiranjivi Bhamidipati, Matthew Diersen, Zhiguang Wang, and EunSu Lee. Agricultural Freight Data Improvement. Report no. SD2014-09-F. South Dakota. Department of Transportation, 2016. https://rosap.ntl.bts.gov/view/dot/85451.
Witzke, Erika, et al. Agricultural Freight Data Improvement. South Dakota. Department of Transportation, 2016, Report no. SD2014-09-F, ROSA P. https://rosap.ntl.bts.gov/view/dot/85451.
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