Area of Expertise: Unspecified

book/book chapter

Ethics and the policy of extraordinary rendition

Publication Date

January 1, 2015

Author(s)

Joseph Dimento, G. Geis
View book/book chapter
Suggested Citation
J.F.C. DiMento and G. Geis (2015) “Ethics and the policy of extraordinary rendition”, in Science, ethics, and politics: Conversations and investigations, pp. 192–211. Available at: 10.4324/9781315632230-22.

working paper

Relationships Between Social-Psychological Variables and Individual Travel Behavior

Publication Date

April 1, 1978

Author(s)

Gordon (Pete) Fielding, Timothy Tardiff

Working Paper

UCI-ITS-WP-78-7
View working paper

Abstract

The purpose of this paper is to introduce variables ·which may yield explanations of travel behavior which go beyond the economic and transportation-related explanations of existing models. This analysis explores whether improvements can be made in the understanding of individual travel behavior and in the predictive power of travel demand models. This applied emphasis extends the author’s previous work which demonstrated how attitudinal and behavioral information can be used to structure the development and marketing of transportation improvements (Fielding, 1972; Fielding, et.al., 1976).

Suggested Citation
Gordon J. Fielding and Timothy J. Tardiff (1978) Relationships Between Social-Psychological Variables and Individual Travel Behavior. Working Paper UCI-ITS-WP-78-7. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/7945t2zr.

conference paper

Incorporating yellow-page databases in GIS-based transportation models

Transportation, land use, and air quality, conference proceedings: Making the connection

Publication Date

January 1, 1998

Author(s)

MS Lee, Michael McNally

Abstract

A systematic approach is developed to transform data in the existing yellow-page databases to a point-based GIS database on activity supply, Such a database is needed for an activity-based travel forecasting system and for disaggregate accessibility analysis. First, the linkage between activity types and business types is established. According to this lookup relationship, businesses and services associated with certain activity types can be selected, These records are then geocoded by address-matching in a GIS and the locations supplying those activities are pinned down. Technical issues, such as difficulty in linking businesses to activities, long term projection, and address-matching, are discussed and potential solutions are provided. Finally, issues that need to be addressed when attempting to develop an activity-based forecasting system are examined from the perspective of activity supply.

Suggested Citation
MS Lee and MG McNally (1998) “Incorporating yellow-page databases in GIS-based transportation models”, in . Easa, S and Samdahl, D (ed.) Transportation, land use, and air quality, conference proceedings: Making the connection. AMER SOC CIVIL ENGINEERS, pp. 652–661.

conference paper

A conceptual framework with real-time distributed vehicle data for traffic control

Proceedings of the 86th annual meeting of the transportation research board

Publication Date

January 1, 2007

Author(s)

Ji Young Park, Yu Zhang, R. (Jay) Jayakrishnan

Abstract

The objective of this paper is to develop an on-line traffic control scheme with real time distributed vehicle data. Though most existing signal systems include some optimization schemes, their performance suffers from inaccurate route travel prediction due to the limitations of data. The commonly used data collection devices like Inductive Loop Detector (ILD) are unable to collect the path-based variables needed for network-level traffic control. In the Persistent Traffic Cookies (PTC) system proposed in UC Irvine recently, those variables can be obtained from the authenticated historical trip tables and current movement information stored in individual vehicles, as written in by wireless hardware at the intersections for vehicles equipped for it. From the inference of each individual vehicleâ??s historical movements in a network using PTC data, the path-based variables including path flow and path travel time can be predicted. In this study, the improved traffic control schemes with the path-based variables are introduced not only for a single intersection but also for a group of intersections in a sub-network. For a single intersection, the dynamic arrival flow of every movement to an intersection is predicted from the PTC data. Then an optimal signal plan can be determined based on the predicted arrival patterns with the objective of minimizing total delay during a given time horizon. For network-level control, the path flows are estimated from the inference of individual vehicle movement to capture a movement along several intersections. The future path flow can be predicted based on the current path flow and historical data. Based on it, we present a conceptual scheme to group a series of intersections as a sub-network for signal optimization. First, the interaction between any two intersections in a network is estimated by the path flow between them. After choosing a Critical Intersection in a network, a group of intersections having a certain interaction with it is selected and formed a sub-network. The signal optimization in a sub-network is accomplished by a Mixed Integer Linear Problem with the objective to minimize the total delay and a set of constraints. The solution schemes of a problem are discussed base on the results of previous studies.

Suggested Citation
Ji Young Park, Yu Zhang and R. Jayakrishnan (2007) “A conceptual framework with real-time distributed vehicle data for traffic control”, in Proceedings of the 86th annual meeting of the transportation research board, p. 20p.

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