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MPC Research Reports
Filter by Keyword9 report(s) found with travel demand in the keywords field 1 - 9 of 9 U.S. residents across many regions continue to face episodes of poor air quality due in part to pollution and emissions from the transportation sector. Strategies to encourage travel behavior changes and reduced driving during such events may or may not be effective. To illuminate how area-wide air pollution... The U.S. Department of Transportation (USDOT) needs to respond quickly and adapt to the coronavirus (COVID-19) to ensure continuation of critical infrastructure support and relief for the American people. Since early March 2020, the COVID-19 pandemic has had significant impact on traffic across the United... Autonomous Vehicles (AVs) have the potential to offer benefits and flexibility in travel, which can lead to significant reductions in the generalized travel cost and possibly, more demand. The combination of the AV technology with Mobility as a Service (MaaS) creates a new disruptive transportation mode... This report explains the various data inputs and outputs associated with the travel demand model (TDM) developed for estimating traffic volumes on low-volume roads in Wyoming. This study incorporated tourism-related data into the TDM and developed methods to estimate traffic volume on low-volume roads... The growing uncertainty about oil prices and availability has made long-range transportation planning more challenging. Rather than relying on trend extrapolation, this study uses market mechanisms to evaluate key long-range transportation planning assumptions. Although the Washington Department of Transportation... Street networks designed to support Transit Oriented Development (TOD) increase accessibility for non-motorized traffic. However, the implications of TOD supportive networks for still dominant vehicular traffic are rarely addressed. Due to this lack of research, decision making in favor of TOD supportive... This research develops a two-stage approach for estimating a statewide truck origin-destination (O-D) trip table. The proposed approach is supported by two sequential stages: one estimates the commodity-based truck O-D trip table primarily derived from the commodity flow database, and the other refines... This paper presents preliminary results of the VISUM Online validation. It compares traffic conditions estimated by VISUM Online to measured data. The results show that VISUM Online produces comparable traffic measures. This research evaluates the effectiveness of the future Utah Department of Transportation (UDOT) adaptive signal control system on the arterial street network in Park City, Utah, that experiences both everyday and unpredictable changes in traffic flow. This report contains the planned methodology for... |
