Thesis (MTech (Civil Engineering))--Cape Peninsula University of Technology, 2008. / Includes bibliographical references (leaves 91-94). Also available online.

Thesis (Ph. D.)--University of Chicago, 1967. / Includes bibliographical references (leaf 93).

University of Macau / Faculty of Science and Technology / Department of Civil and Environmental Engineering

No description available.

M.Ing. / The focus of this dissertation is on the evaluation of management in traffic safety, and how it is applied, using the Road Traffic Management Corporation (RTMC) as a case study. Road Traffic Management in South Africa is in a state of crisis. The constitution provides for concurrency with respect to road traffic management, however, no mechanism has been implemented for co-operation and coordination. It has been found that the current institutional arrangements are not conducive to co-ordination and rapid interventions. Due to the scarcity of resources and the desire to streamline the institutional arrangements, an innovative model has been developed which will perform road traffic management collectively, the Road Traffic Management Corporation, RTMC. The implementation of the RTMC will require full co-operation and acceptance by all the various departments concerned, from National Government level, through to Provincial levels, and the Local Authorities. Before the Corporation can be implemented, the funding needs to be secured, and the source of the funding must be stable and committed. The implementing of such a corporation will be delicate, and organizational structure needs to be clear to all parties. At this early stage of the RTMC, the methods of management already used by the RTMC need to be compared to proper management principles, to ensure that the RTMC will have the best structure to ensure its success. Any uncertainties or concerns that may exist among those involved at lower levels can be communicated to top-level management implementing the corporation. By conducting an independent, external investigation, any short falls can be identified which may have been over looked previously. This dissertation aims to ensure that the RTMC adheres to the relevant management principles, focussing on the objective of improving road safety. A questionnaire is devised for the National Department of Transport, so that an independent view of the vision of the RTMC can be acquired. The organizational structure proposed by the RTMC is examined and evaluated to determine the relationship, communication channels, functions and responsibilities, which are intended between the various levels of management and stakeholders. The funding of a corporation such as the RTMC is considered, as the source of such funds needs to be secured before the RTMC can be implemented. A preliminary budget prepared for the RTMC is compared to what funding has been made available. The main objective of the RTMC is to improve road safety. Therefore, the process it intends to use is evaluated to determine whether the goals it intends to achieve through this process are realistic. The engineering function required to improve road safety will also be evaluated in terms of what can be done by engineers to improve the safety on South African roads.

No description available.

The development of connected and automated vehicle (CAV) technologies motivate modeling efforts and studies to understand CAVs' collective behaviors on public roads. In this thesis, we study CAV traffic flows through macroscopic models under two mathematical frameworks: the nonlocal conservation laws and the mean field games.The nonlocal conservation law models incorporate traffic information in a nonlocal range into each vehicle's driving control. We study one such model with a finite spatial nonlocal range, and demonstrate that proper use of the nonlocal information will offer better traffic stability. We also discuss numerical computation of the model that is robust under the changes of the nonlocal range. The mean field game models consider strategic interactions between CAVs, assuming each vehicle anticipates future traffic conditions and plans its driving control to minimize a predefined driving cost. A systematic approach is developed to derive the model, solve the model, and test the equilibrium solution. We take this approach in several traffic scenarios for CAVs on a single road or on a network, and demonstrate that proper design of the CAV driving cost function can lead to more efficient and stable traffic flows than human traffics. The established results in the thesis will bring more mathematical understandings on the proposed and studied models. The results may also provide insights on how to utilize the vehicle connectivity and automation to improve the overall traffic, and help to the CAV driving algorithm design.

No description available.

This project developed computer graphics to display spatial and statistical data in a functional, appropriate and articulate manner. The spatial data creates mapping of Orange County focusing on traffic zones. The graphs display statistical data projecting from spatial areas presented in a simple form. The graphs produced by the system are geared towards an audience involved with transportation and planning decisions for Orange County. The graphics employ population, income, number of dwelling units, trip generation and trip production data based upon the 1980 census. The population, income, and number of dwelling unites statistics include predictions for 1985 through 2005 in five-year increments. The trip generation and production data is divided into six categories. These groups of statistics were chosen owing to their effect on the transportation system and travel characteristics of Orange County. The two-dimensional graphs display only spatial data. The three-dimensional graphs permit examination of one data category projecting from a large spatial area or up to four data categories projecting from one small six mile square of Orange County. All graphs presented in a three-dimensional form can be rotated around two axes.

The flow of traffic at an intersection is often controlled by a traffic signal. This research report models a T-intersection with a disjoint network for each direction of traffic flow, eastbound, westbound and southbound. The traffic signal is modeled with a fourth network. Three types of signal control (pretimed, semi-actuated and full-actuated) are modeled to examine the effect of each type on the average delay time and average length of queues for each lane of traffic queue at the intersection. The computer models presented in the report use SLAM computer language to simulate the traffic signal and vehicle flow.