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In this week’s issue, we looked at the what driver’s liked about their “gadgets”
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In reviewing the Sloan Foundation’s 1997 survey of American Truck Drivers with David Correll, we found something surprising: for a meaningful number of drivers (21.7%), an incomplete stop at a College or University preceded their career on the road. We wonder, what cut their time on campus short?
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Welcome to the first installment of #TruckerTuesday. David Correll and Tony Orr have been analyzing a survey of truck drivers conducted by the Sloan Foundation to pull insights from 1997 that are relevant in today’s landscape. In this week’s edition, we look at the different methods that companies used to track their drivers and trucks on the road. […]
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The Scenario Planning Toolkit is designed to help transportation planners in any organization design, plan, and run a Scenario Planning Workshop. There are two types of material contained here: Guidebooks and Workshop Collateral.
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In the U.S. truckload (TL) industry, shippers and motor carriers face major challenges as a result of uncertainties in the amount and timing of demand for capacity, availability of trucks at the time and locations needed, and external market conditions.
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The project aims at predicting long haul truckload spot market rates in continental USA for the near future. Accurate forecasting of transportation costs is a key step in logistical planning. It helps buyers and sellers of transportation services make better decisions at all stages of a supply chain.
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We analyze shipment data for assessing the impact of natural disasters on freight movement. Our focus is on North-Atlantic hurricanes that make landfall in the contiguous USA. Quantifying the impact of natural disasters on the truckload industry can help shippers know what costs to expect, what routes to avoid, how to procure and position relief goods.
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The Driver Initiative looks to uncover new insights and identify specific opportunities to improve the effectiveness, efficiency, and quality of life of American over-the-road truck drivers through an analysis of individual driver actions and behavior using ELD and other related data
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This continuing project examines how truckload transportation rates are impacted by different policies, procedures, and network characteristics. Various econometric techniques were employed to quantify these impacts. Additionally, the projects uncovered actions that both shippers and carriers can take to reduce overall transportation cost.
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The U.S. DOT Volpe Center welcomed Chris Caplice, PhD, Executive Director of the Massachusetts Institute of Technology’s Center for Transportation & Logistics (CTL), as the second speaker in the Transportation in the Age of Artificial Intelligence and Predictive Analytics thought leadership series. At CTL, Caplice is responsible for the planning and management of the research, […]
