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References 55 Holian, M., and McLaughlin, R. (2016). âBenefit-Cost Analysis for Transportation Planning and Public Policy: Towards Multimodal Demand Modeling.â MTI Report 12-42, Mineta Transportation Institute, San José, Calif. ICF International and URS Corporation (2014). SHRP 2 Report S2-C01-RR-1: Framework for Collaborative Decision Making on Additions to Highway Capacity. Transportation Research Board of the National Academies, Washington, D.C. Jenior, P., Dowling, R., Nevers, B., and Neudorff, L. (2016). Use of Freeway Shoulders for Travel: Guide for Planning, Evaluating, and Designing Part-Time Shoulder Use as a Traffic Management Strategy. FHWA- HOP-15-023. U.S. DOT, Washington, D.C. Kockelman, K. et al. (2017). An Assessment of Autonomous Vehicles: Traffic Effects and Infrastructure NeedsâFinal Report. Report FHWA/TX-17/0-6847-1. Center for Transportation Research at the University of Texas at Austin in cooperation with the Texas Department of Transportation and Federal Highway Administration, Austin, Tex. Louch, H., Smith Reeder, V., and Crossett, J. (2009). SHRP 2 Report S2-C02-RR: Performance Measurement Framework for Highway Capacity Decision Making. Transportation Research Board of the National Academies, Washington, D.C. Lyons, W. (2012). Trends in Statewide Long-Range Transportation Plans: Core and Emerging Topics. U.S. DOT, Volpe Center, Cambridge, Mass. Middleton, S. (2015). Cross-Modal Project Prioritization: A TPCB Peer Exchange. U.S. Department of Trans- portation, Volpe Center, Cambridge, Mass. https://www.planning.dot.gov/Peer/NorthCarolina/NCDOT_ cross-modal_12-16-14.pdf. Accessed July 5, 2017. Zhang, L., Schonfeld, P., Kastrouni, E., Shayanfar, E., and He, X. (2016). Estimating the Economic Effects of Multimodal Transportation Improvements. Report No. MD-16-SHA-UM-3-17. Maryland State Highway Administration, Baltimore, Md.