Abstract
State of California
other
Senate Bill 1 (SB 1) | CTC
Publication Date
April 28, 2017
Author(s)
Jim Beall
Archives: Research Products
published journal article
Modeling earnings measurement error: A multiple imputation approach
The Review of Economics and Statistics
Publication Date
November 1, 1996
Author(s)
David Brownstone, Robert G. Valletta
Suggested Citation
David Brownstone and Robert G. Valletta (1996) “Modeling earnings measurement error: A multiple imputation approach”, The Review of Economics and Statistics, 78(4), p. 705. Available at: 10.2307/2109957. published journal article
Plane near-field response of an elastic plate: Results of experimental investigation are found to be in good agreement with those predicted by an existing numerical method
Experimental Mechanics
Publication Date
April 1, 1971
Author(s)
Will Recker, R. J. Skop
Suggested Citation
W. W. Recker and R. J. Skop (1971) “Plane near-field response of an elastic plate: Results of experimental investigation are found to be in good agreement with those predicted by an existing numerical method”, Experimental Mechanics, 11(4), pp. 321–324. Available at: 10.1007/BF02320586. published journal article
A real-time expert system for freeway incident management in Orange County, California
Computing in Civil and Building Engineering
Publication Date
January 1, 1993
Author(s)
Suggested Citation
Stephen G. Ritchie and Robert Stack (1993) “A real-time expert system for freeway incident management in Orange County, California”, Computing in Civil and Building Engineering, pp. 607–613.
working paper
Combinatorial Auctions for Trucking Service Procurement: An Examination of Carrier Bidding Policies
Publication Date
August 1, 2003
Author(s)
Areas of Expertise
Abstract
Combinatorial auctions are increasingly used by large shippers as a method to establish service contracts with trucking companies. In order to achieve maximal benefits in these auctions, carriers must determine a bidding policy that can accurately evaluate the costs they will incur to fulfill these contracts and which can quickly examine many different possible options. In this paper, we analyze the complexity of this bidding problem for the procurement of truckload trucking service contracts; further, we propose an optimization-based approximation method to aid a carrier in constructing bids. Using a simulation framework, we examine the performance of this method elative to a straightforward bidding policy similar to those used in practice.
working paper
An Improved Branch and Bound Algorithm for Minimum Concave Cost Network Flow Problems
Abstract
This paper formulates the minimum concave cost network flow (MCCNF) problem as a mixed integer program and solves this program using a new branch and bound algorithm. The algorithm combines Driebeek’s “up and down” penalties with a new technique referred to as the simple bound improvement (SBI) procedure. An efficient numerical method for the SBI procedure is described and computational results are presented which show that the SBI procedure reduces both the in-core storage and the CPU time required to solve the MCCNF problem. In fact, for large problems (with over 200 binary decision variables) the SBI procedure reduced the in-core storage by more than one-third and the CPU time by more than 40 percent.
Suggested Citation
Bruce W. Lamar (1989) An Improved Branch and Bound Algorithm for Minimum Concave Cost Network Flow Problems. Working Paper UCI-ITS-WP-89-7. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/3m30j7s5.Related Publications
working paper |
May 1990
Simultaneous Equation Systems Involving Binary Choice Variables
working paper |
Nov 1988
Simultaneous Equation Systems Involving Binary Choice Variables
working paper |
Jun 1991
Home Environment Consequences of Commute Travel Impedance
working paper |
Jun 1989
Aggression on Roadways
working paper |
Nov 1991
Structural Models of the Effects of the Commute Trip on Travel and Activity Participation
working paper
Application of Pattern Recognition Theory to Activity Pattern Analysis
Publication Date
July 1, 1981
Author(s)
Working Paper
UCI-ITS-WP-81-3, UCI-ITS-AS-WP-81-1
Areas of Expertise
Abstract
This paper presents a methodology for the analysis of activity patterns based on a classification procedure in which the set of measurements that define human movement is represented by an N-dimensional pattern vector. Transformation techniques are then applied to the pattern vectors to develop a taxonomy for the pattern space. Subsequent inversion of the transformed patterns yields representative activity patterns and leads to attendent transformation of the results of analysis to the real world. Pattern recognition theory is demonstrated to be an effective means by which complex activity/travel patterns can be transformed into a structurally simpler space for purposes of analysis.
Suggested Citation
Will Recker, Michael G. McNally and Gregory S. Root (1981) Application of Pattern Recognition Theory to Activity Pattern Analysis. Working Paper UCI-ITS-WP-81-3, UCI-ITS-AS-WP-81-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/49x4t5cg. conference paper
Modeling Travel and Activity Routines Using Hybrid Dynamic Mixed Networks
Proceedings of the 85th Annual Meeting of the Transportation Research Board
Publication Date
January 1, 2006
Author(s)
Abstract
This paper describes a method for efficiently storing, modeling, and processing an individual’s travel history collected with a global positioning system (GPS) enabled device. The technique uses a general framework called Hybrid Dynamic Mixed Networks (HDMNs), which are Hybrid Dynamic Bayesian Networks that allow representation of discrete deterministic information in the form of constraints. The paper uses this framework to model a person’s travel activity over time and to infer likely destinations and routes given information about the current trip. The paper also presents a preliminary empirical evaluation demonstrating the effectiveness of the modeling framework and algorithms using three variants of the activity model. This research will improve the quality of activity surveys based on electronic data collection methods, as well as improve the usefulness and effectiveness of in-vehicle and hand-held devices for daily activity planning and rescheduling.
Suggested Citation
James E. Marca and Craig Rindt (2006) “Modeling Travel and Activity Routines Using Hybrid Dynamic Mixed Networks”, in Proceedings of the 85th Annual Meeting of the Transportation Research Board, p. 23p. working paper
An Activity-Based Travel Pattern Generation Model
Publication Date
December 1, 2000
Author(s)
Working Paper
UCI-ITS-WP-00-6, UCI-ITS-AS-WP-00-6
Areas of Expertise
Abstract
Activity-based approaches are perhaps the most promising alternative to the current travel forecasting methodology. This paper presents a pattern generation model that can serve as a link between activity and trip-based methodologies. The model uses a clustering approach to identify groups of similar activity-travel behavior and relates them to household socioeconomic attributes. Minimally, the pattern generation model is offered a possible replacement to the standard trip generation models. Moreover, it can serve as the core component of a proposed activity-based microsimulation model that constructs complete origin-destination tables using a wholly activity-based approach. The technique proposed clearly recognizes the complex nature of activity-travel behavior in terms of spatial and temporal constraints, household interactions, and the derived nature of such behavior. An application of the model is outlined using data from the 1994 Portland activity-travel survey.
Suggested Citation
Anup A. Kulkarni and Michael G. McNally (2000) An Activity-Based Travel Pattern Generation Model. Working Paper UCI-ITS-WP-00-6, UCI-ITS-AS-WP-00-6. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/0gd884q3. published journal article
Estimation of vehicular emissions by capturing traffic variations
Atmospheric Environment
Publication Date
May 1, 2007