Thesis (M.C.E.)--University of Delaware, 2008. / Principal faculty advisor: Ardeshir Faghri, Dept. of Civil & Environmental Engineering. Includes bibliographical references.

Thesis (M.S.)--Ohio University, June, 1990. / Title from PDF t.p.

Thesis (M.S.) University of Missouri-Columbia, 2004. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 29, 2006) Vita. Includes bibliographical references.

Thesis (M.S.)--West Virginia University, 2006. / Title from document title page. Document formatted into pages; contains iv, 37, [7] p. Includes abstract. Includes bibliographical references (p. 37).

Thesis (Ph. D.)--Purdue University, 2005. / Vita. Includes bibliographical references (p. 164-168). Also available online from the Purdue University website (http://docs.lib.purdue.edu/).

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of requirements for the degree of Master of Science. Degree awarded with distinction on 4 December 1996. Johannesburg 1996. / The problem with existing traffic light systems is that they are static and unable to respond to dynamic changes in traffic flow patterns. This report discusses an approach using distributed AI techniques to allow the control system to respond dynamically to the changes in the flow patterns. A simulated system (Datilis) has been developed, The design of the system is based on the assumption that maximising throughput at individual intersections will result in improved overall performance. The results generated and discussed in this report support this hypothesis.

An intensive examination was conducted to test the credibility of current traffic signal change interval policies founded on a kinematic equation developed nearly 30 years ago. The investigation involved the review of relevant literature as well as an extensive collection of data. The literature review and data analysis revealed that current change interval policies rely on the disproven assumption that traffic decelerates at a constant rate. The data analysis also demonstrated that traffic approach speed and deceleration distance affect the manner in which deceleration occurs. Based on the data analysis, an alternative treatment of the kinematic equation is proposed using surrogate deceleration rates. The surrogate rates offer a pragmatic set of input for the kinematic equation. Therefore, rather than yielding a change interval based on an inaccurate assumption, agencies can implement change intervals which are responsive to local traffic.

published_or_final_version / Transport Policy and Planning / Master / Master of Arts in Transport Policy and Planning

Typescript (photocopy). / Digitized by Kansas Correctional Industries