Thesis--University of Wisconsin--Madison. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 137-139).

Thesis (M.S.)--University of Wisconsin--Madison, 1962. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaf 34).

No description available.

No description available.

The U.S. Navy's training system is an extensive, complex system of interrelated and interacting components. This paper presents the results of several approaches to the problem of modeling this system and developing computer programs to simulate and analyze its operation. Two programs using special-purpose simulation languages, SLAM and GASP, are described briefly. The PMM inter-active system is described and analyzed in the greatest detail. Possible future utilization of this PMM system for experimentation and forecasting is also briefly discussed.

Flow of enlisted Navy men through basic training, BEE school and "A" school was simulated using SLAM. Queuing for courses, pass, setback and failure of students, and the limitation of resources in the BEE schools were modeled for variable numbers of "A" courses and enlisted student ratings. A travel delay between schools was modeled as a direct step function of the distance involved. For each course modeled, data included course duration, interconvening time between classes, minimum and maximum class sizes, pass, failure and setback rates, and the time, measured from the beginning of the simulation, when the first class is to convene. For each rating modeled, data included course sequence information (variable number of courses and school sequences), the number of that rating expected to report to basic training for the entire Navy each year for up to five years, the fractions of that total which report to each of three bases for basic training, the fractions which report each month, and the fractions which report each day of the week. Fleet returnees are modeled to enter the system as an across-the-board percentage of all basic training graduates. Output for each course included average, maximum and current queue lengths; standard deviation of the queue length; average waiting time in the queue for the course; total numbers of students who had started, failed, passes, and been setback in the course; and the number who were under instruction at the time the report was written. Output for each rating included a list of the "A" courses taken, numbers of regular recruits and fleet returnees who had completed training, and average times required to complete training, with optional histograms. A preliminary check was made for bottleneck situations before the simulation was started.

Call number: LD2668 .T4 1961 U46

Typescript (photocopy). / Digitized by Kansas Correctional Industries

Emergence of autonomous vehicles (AVs) offers the potential to fundamentally transform the way how urban transport systems be designed and deployed, and alter the way we view private car ownership. In this thesis we advocate a forward-looking, ambitious and disruptive smart cloud commuting system (SCCS) for future smart cities based on shared AVs. Employing giant pools of AVs of varying sizes, SCCS seeks to supplant and integrate various modes of transport -- most of personal vehicles, low ridership public buses, and taxis used in today€™s private and public transport systems -- in a unified, on-demand fashion, and provides passengers with a fast, convenient, and low cost transport service for their daily commuting needs. To explore feasibility and efficiency gains of the proposed SCCS, we model SCCS as a queueing system with passengers' trip demands (as jobs) being served by the AVs (as servers). Using a 1-year real trip dataset from Shenzhen China, we quantify (i) how design choices, such as the numbers of depots and AVs, affect the passenger waiting time and vehicle utilization; and (ii) how much efficiency gains (i.e., reducing the number of service vehicles, and improving the vehicle utilization) can be obtained by SCCS comparing to the current taxi system. Our results demonstrate that the proposed SCCS system can serve the trip demands with 22% fewer vehicles and 37% more vehicle utilization, which shed lights on the design feasibility of future smart transportation systems.

Typescript (photocopy). / Digitized by Kansas Correctional Industries