conference paper

Activity-based approaches to modeling complex travel behavior: Issues and challenges

Proceedings, Transportation Planning Research Colloquium

Publication Date

January 1, 1983
Suggested Citation
W. W. Recker, G. S. Root and M. G. McNally (1983) “Activity-based approaches to modeling complex travel behavior: Issues and challenges”, in Proceedings, Transportation Planning Research Colloquium. Delft.

conference paper

Severity of accidents based on truck body classification

Proceedings of the 2013 summer research symposium, UC irvine

Publication Date

August 1, 2013

Author(s)

Suggested Citation
Alma Carillo, S. Hernandez and S.G. Ritchie (2013) “Severity of accidents based on truck body classification”, in Proceedings of the 2013 summer research symposium, UC irvine.

conference paper

Forecasting network traffic for small and medium-sized communities using path flow estimator

Proceedings of the 85th annual meeting of the transportation research board

Publication Date

January 1, 2006

Author(s)

Abstract

The objective of this study is to propose an alternative methodology to model and forecast network traffic for planning applications in small and medium-sized communities where resources debilitate the development and applications of 4-step models. The major thrust of the proposed approach is that model estimation and forecasting are each accomplished through an O-D estimation using the Path Flow Estimator that allows for the use of various planning and field data such as land uses (converted to zonal trip production and attraction), traffic counts, and target O-D table as estimation constraints. The proposed procedure is applied with empirical data from a small community, the City of St. Helena in California to demonstrate how it can be implemented in practice.

Suggested Citation
Wilfred W. Recker, Piya Chootinan, Anthony Chen and Ming S. Lee (2006) “Forecasting network traffic for small and medium-sized communities using path flow estimator”, in Proceedings of the 85th annual meeting of the transportation research board, p. 12p.

published journal article

A joint household travel distance generation and car ownership model

Transportation Research Part B: Methodological

Publication Date

December 1, 1989
Suggested Citation
Thomas F. Golob and Leo van Wissen (1989) “A joint household travel distance generation and car ownership model”, Transportation Research Part B: Methodological, 23(6), pp. 471–491. Available at: 10.1016/0191-2615(89)90045-3.

published journal article

Accessibility of neotraditional neighborhoods: A review of design concepts, policies, and recent literature

Transportation Research Part A: Policy and Practice

Publication Date

March 1, 1995

Abstract

Neotraditional neighborhood design (NTND) has gained increasing attention from professional, academic and popular circles during the past 10 years. This review establishes a baseline evaluation of NTND, with the goal of providing the background for more specific research in the future. The first section of the article orients NTND in a historical context, reviewing the main subdivision design trends of the past century and how NTND has either diverged or borrowed from them. The second section focuses on a review of current issues and policies related to this planning trend, with special attention directed toward transportation and land use research and the effect of neotraditional design on accessibility of the transportation system. The article concludes by offering an assessment of the potential of NTND to address growth-related problems in suburban areas and by identifying key unmet research needs.

Suggested Citation
S. Ryan and M.G. McNally (1995) “Accessibility of neotraditional neighborhoods: A review of design concepts, policies, and recent literature”, Transportation Research Part A: Policy and Practice, 29(2), pp. 87–105. Available at: 10.1016/0965-8564(94)e0008-w.

published journal article

Strategic decision making: Multiobjective decision analysis with spreadsheets - Kirkwood,CW

INTERFACES

Publication Date

January 1, 1997

Author(s)

JL Guyse, LR Keller
Suggested Citation
JL Guyse and LR Keller (1997) “Strategic decision making: Multiobjective decision analysis with spreadsheets - Kirkwood,CW”, INTERFACES, 27(3), pp. 106–107.

published journal article

Approximation algorithms for the bid construction problem in combinatorial auctions for the procurement of freight transportation contracts

Transportation Research Part B: Methodological

Publication Date

December 1, 2005
Suggested Citation
Jiongjiong Song and Amelia Regan (2005) “Approximation algorithms for the bid construction problem in combinatorial auctions for the procurement of freight transportation contracts”, Transportation Research Part B: Methodological, 39(10), pp. 914–933. Available at: 10.1016/j.trb.2004.11.003.

conference paper

Integrated mode choice and dynamic traveler assignment-simulation framework to assess the impact of a suburban first-mile shared autonomous vehicle fleet service on transit demand

Proceedings of the 97th annual meeting of the transportation research board

Publication Date

January 1, 2018

Author(s)

Helen Karla Ramalho de Farias Pinto, Michael Hyland, İ �mer Verbas, Hani Mahmassani

Abstract

The emergence and adoption of fully-autonomous vehicles (AVs) and AV-enabled mobility services are expected to significantly impact transit demand in urban and suburban areas. This paper focuses on assessing the impact of a suburban first-mile shared-ride AV (SAV) transit feeder system on transit and SAV demand. To complete this task, the authors introduce an integrated mode choice and dynamic traveler assignment-simulation modeling framework that explicitly models the dynamics of, and congestion in, the transit network and SAV system. First, the authors present a mathematical formulation of the integrated mode choice and dynamic traveler assignment problem. The problem is analytically intractable; therefore, the authors present a simulation-based, iterative, bi-level solution approach. The iterative bi-level solution approach is required because the modal flows are dependent on the transit, road, and SAV system performances; yet, these system performances are dependent on the modal flows. In the iterative modeling framework, the upper level assigns travelers to one of five modes: car, park-and-ride, transit, SAV, or transit with SAV feeder. The lower level, both (1) iteratively determines minimum cost transit hyperpaths, assigns travelers to hyperpaths, and simulates their experiences, and (2) simulates an SAV fleet providing service to suburban travelers. Time-dependent network performance skims are then fed to the mode choice model. This process repeats until the mode choice probabilities converge. This integrated modeling framework, which endogenously determines traveler mode choice as well as transit and SAV system performance, provides transportation planners and modelers a powerful tool to test various scenarios related to AV-enabled mobility services.

Suggested Citation
Helen Karla Ramalho de Farias Pinto, Michael F. Hyland, İ Ã?mer Verbas and Hani S. Mahmassani (2018) “Integrated mode choice and dynamic traveler assignment-simulation framework to assess the impact of a suburban first-mile shared autonomous vehicle fleet service on transit demand”, in Proceedings of the 97th annual meeting of the transportation research board, p. 9p.

published journal article

State-of-the art of freight forecast modeling: Lessons learned and the road ahead

Transportation

Publication Date

June 1, 2010
Suggested Citation
Joseph Y.J. Chow, Choon Heon Yang and Amelia C. Regan (2010) “State-of-the art of freight forecast modeling: Lessons learned and the road ahead”, Transportation, 37(6), pp. 1011–1030. Available at: 10.1007/s11116-010-9281-1.

published journal article

Automated detection of lane-blocking freeway incidents using artificial neural networks

Transportation Research Part C: Emerging Technologies

Publication Date

December 1, 1995
Suggested Citation
Ruey L. Cheu and Stephen G. Ritchie (1995) “Automated detection of lane-blocking freeway incidents using artificial neural networks”, Transportation Research Part C: Emerging Technologies, 3(6), pp. 371–388. Available at: 10.1016/0968-090x(95)00016-c.