A computer program (VEHSIM) for vehicle fuel economy and performance simulation (automobiles and light trucks). Volume II: users guide. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

An evaluation of head restraints - Federal Motor Vehicle Safety Standard 202.

Mode of access: Internet.

A computer program (VEHSIM) for vehicle fuel economy and performance simulation (automobiles and light trucks). Volume IV: enhancements. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington D.C.

Index of the relative importance of fuel efficiency (IFE) in the motor vehicle market. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

A computer program (HEVSIM) for heavy duty vehicle fuel economy and performance simulation. Volume II: users' manual. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

A computer program (HEVSIM) for heavy duty vehicle fuel economy and performance simulation. Volume III: appendices A through F. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

A computer program (HEVSIM) for heavy duty vehicle fuel economy and performance simulation. Volume I: description and analysis. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Consumer behavior towards fuel efficient vehicles. Volume IV: operating instructions and programs documentation for the CS Vehicle Choice Simulation Model. Final report.

National Highway Traffic Safety Administration, Technology Assessment Division, Washington, D.C.

Diagnostic motor vehicle inspection demonstration projects, program engineering support. Volume 6 - appendix E: technical basis for cost benefit analyses. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Consumer behavior towards fuel efficient vehicles. Volume III: forecasts of the composition of household motor vehicle holdings. Final report.

National Highway Traffic Safety Administration, Technology Assessment Division, Washington, D.C.

Potential of spark ignition engine, effect of vehicle design variables on top speed, performance and fuel economy. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Research safety vehicle - phase II. Volume I: executive summary. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Motor vehicle diagnostic inspection demonstration program--summary report.

Mode of access: Internet.

Vehicle Routing Problems that Minimize the Completion Time: Heuristics, Worst-Case Analyses, and Computational Results

In the standard Vehicle Routing Problem (VRP), we route a fleet of vehicles to deliver the demands of all customers such that the total distance traveled by the fleet is minimized. In this dissertation, we study variants of the VRP that minimize the completion time, i.e., we minimize the distance of the longest route. We call it the min-max objective function. In applications such as disaster relief efforts and military operations, the objective is often to finish the delivery or the task as soon as possible, not to plan routes with the minimum total distance. Even in commercial package delivery nowadays, companies are investing in new technologies to speed up delivery instead of focusing merely on the min-sum objective. In this dissertation, we compare the min-max and the standard (min-sum) objective functions in a worst-case analysis to show that the optimal solution with respect to one objective function can be very poor with respect to the other. The results motivate the design of algorithms specifically for the min-max objective. We study variants of min-max VRPs including one problem from the literature (the min-max Multi-Depot VRP) and two new problems (the min-max Split Delivery Multi-Depot VRP with Minimum Service Requirement and the min-max Close-Enough VRP). We develop heuristics to solve these three problems. We compare the results produced by our heuristics to the best-known solutions in the literature and find that our algorithms are effective. In the case where benchmark instances are not available, we generate instances whose near-optimal solutions can be estimated based on geometry. We formulate the Vehicle Routing Problem with Drones and carry out a theoretical analysis to show the maximum benefit from using drones in addition to trucks to reduce delivery time. The speed-up ratio depends on the number of drones loaded onto one truck and the speed of the drone relative to the speed of the truck.

Behavioral Response to Environmental Taxation: Evidence from the Transportation Sector

This dissertation analyzes how individuals respond to the introduction of taxation aimed to reduce vehicle pollution, greenhouse gases and traffic. The first chapter analyzes a vehicle registration tax based on emissions of carbon dioxide (CO2), a major greenhouse gas, adopted in the UK in 2001 and subject to major changes in the following years. I identify the impact of the policy on new vehicle registrations and carbon emissions, compared to alternative measures. Results show that consumers respond to the tax by purchasing cleaner cars, but a carbon tax generating the same revenue would further reduce carbon emissions. The second chapter looks at a pollution charge (polluting vehicles pay to enter the city) and a congestion charge (all vehicles pay) adopted in 2008 and 2011 in Milan, Italy, and how they affected the concentration of nitrogen dioxides (NOx). I use data from pollution monitoring stations to measure the change between areas adopting the tax and other areas. Results show that in the first quarter of their introduction, both policies decreased NOx concentration in a range of -8% and -5%, but the effect declines over time, especially in the case of the pollution charge. The third chapter examines a trial conducted in 2005 in the Seattle, WA, area, in which vehicle trips by 276 volunteer households were recorded with a GPS device installed in their vehicles. Households received a monetary endowment which they used to pay a toll for each mile traveled: the toll varied with the time of the day, the day of the week and the type of road used. Using information on driving behavior, I show that in the first week a $0.10 toll per mile reduces the number of miles driven by around 7%, but the effect lasts only few weeks at most. The effect is mainly driven by a reduction in highway miles during trips from work to home, and it is strongly influenced by past driving behavior, income, the size of the initial endowment and the number of children in the household.