Phd Dissertation

Formulation of the dynamic traffic assignment problem with an analytically embedded traffic model

Publication Date

November 24, 1997

Author(s)

Suggested Citation
Anthony Chen (1997) Formulation of the dynamic traffic assignment problem with an analytically embedded traffic model. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991020475739704701.

working paper

New Stochastic Approach to Geometric Design of Highways

Publication Date

July 1, 1985

Author(s)

Moshe Hirsch, Joseph Prashker, Moshe Ben-Akiva

Working Paper

UCI-ITS-WP-85-5

Areas of Expertise

Abstract

This paper addresses deficiencies found in the current practice of highway geometric design and presents an alternative approach which achieves more meaningful and cost effective design. Current design practice suffers from vague definition of the design speed concept, is very inflexible, is insensitive to traffic volume and composition, does not explicitly consider cost factors, and is very costly. These deficiencies are primarily attributed to the deterministic approach utilized by current design practice. While all factors involved in the geometric design process (i.e., speed, friction, reaction time, etc.) are stochastic in nature and are fully distributed among the road users, the current approach relies on a single arbitrarily chosen value to represent each factor. This paper presents an alternative approach to geometric design of highways. This approach is fully sensitive to the real conditions of the design problem at hand (i.e., the traffic volume and composition), because it incorporates the stochastic nature of the various factors involved into the design process. The proposed approach also achieves an optimal, or a cost-effective, design which takes into account all the cost elements associated with the highway. An empirical example of horizontal curve design is presented to demonstrate the advantages of the proposed approach.

Suggested Citation
Moshe Hirsch, Joseph N. Prashker and Moshe Ben-Akiva (1985) New Stochastic Approach to Geometric Design of Highways. Working Paper UCI-ITS-WP-85-5. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/0jn550mt.

conference paper

Comparison of multiple portable GPS units for use in epidemiological studies

Proceedings of the conference of the international society of exposure assessment, seoul, korea

Publication Date

August 1, 2010

Author(s)

Jun Wu, Joann Wu, J. Chengsheng, Z. Liu, Doug Houston, Guillermo Jaimes, R. McConnell
Suggested Citation
J. Wu, J. Chengsheng, Z. Liu, D. Houston, G. Jaimes and R. McConnell (2010) “Comparison of multiple portable GPS units for use in epidemiological studies”, in Proceedings of the conference of the international society of exposure assessment, seoul, korea.

Phd Dissertation

Traveler responses to new choices : toll vs. free alternatives in a congested corridor

Abstract

TBD

Suggested Citation
Emily Parkany (1999) Traveler responses to new choices : toll vs. free alternatives in a congested corridor. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1go3t9q/alma991022264179704701.

MS Thesis

Left-turn elimination network analysis

Abstract

Left-turn movement volume takes small percentage of approach volume, however case delay to the majority of traffic flow at an intersection. Left-turn movement has longest averaged delay at an intersection itself. The idea of eliminating left-turn movement is to force a small number of left-turn trips to re-routing, as a results, all other trips would have less delay at an intersection. Elimination of some left-turn movements at a defined network may help improving network performance in term of network travel time, thus, a higher level of system optimization can be achieved. A network analysis is performed to compare network performance before and after left-turn elimination applied. Traffic assignment result is expected to be different because of trips re-routing after left-turn elimination.. Intersection control delay is expected to decrease at the intersection that where left-turn elimination is applied. As a result, network travel time is expected to drop because of the saving at intersection control delay. Signalized intersection control delay is a key of this study. Trips re-routing may happen because of prohibited left-turn movement, as well as the difference in turn penalty per movement if it is assigned, which would affect shortest path calculation. Trip re-routing may cause increase in total turn movement volume in network.

Suggested Citation
CUNXIANG MI (2013) Left-turn elimination network analysis. MS Thesis. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/u4evf/cdi_proquest_journals_1494536425.

research report

Enhancements To A Simulation Framework For Analyzing Urban Traffic Networks With Atis/atms

Abstract

This report focuses on the DYNASMART simulation program presents a model that is capable of simulating large urban networks under various Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS) strategies. It includes modules for driver responses to information and for capturing the dynamics of the network paths. The research also included the simulation study of a network in Orange County, California, where the benefits from candidate ATIS and ATMS strategies were evaluated. The DYNASMART model has evolved into a flexible tool that can be applied to evaluate information and control strategies in realistic urban networks in an efficient manner.

Suggested Citation
R. Jayakrishnan, U. Rathi, C. Rindt and G. Vaideeshwaran (1996) Enhancements To A Simulation Framework For Analyzing Urban Traffic Networks With Atis/atms. Final Report UCB-ITS-PRR-96-27. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/2zq344n0.

research report

TRICEPS: An ATMIS Field Implementation for Control and Evaluation: Final Report

Abstract

This report summarizes a comprehensive research project directed toward the development and implementation of an Advanced Transportation Management and Information System (ATMIS) as part of the Caltrans Advanced ATMIS Testbed Program at the Institute of Transportation Studies, University of California, Irvine. The primary goal of this project was to implement this prototype ATMIS, designated TRICEPS (Testbed Realtime Integrated Control and Evaluation Prototype System), in the Irvine sub-area of the Advanced Testbed network. This sub-area represents a well-defined freeway corridor with a parallel major arterial alternative where traffic demand is predominantly along the corridor. This area, previously selected as the site for the federally-funded Irvine Field Operational Test to evaluate a centrally-controlled freeway/arterial corridor, thus provided an ideal environment in which to conduct the enhancements to and implementation of TRICEPS. The TRICEPS architecture allows for the introduction of a wide range of control and management capabilities; however, the focus of the initial implementation is the development and implementation of CARTESIUS, a real-time, multi-agent decision support system which integrates real-time control and simulation elements. The report provides background information on the genesis of TRICEPS, an overview of each of its major components and of the system architecture, the results of a system evaluation study, and a sample application of the model system.

Suggested Citation
M. G. McNally, C. Rindt and F. Logi (2002) TRICEPS: An ATMIS Field Implementation for Control and Evaluation: Final Report. Final Report UCB-ITS-PRR-2002-9. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/71h9100q.

policy brief

Electrified Buses Provide Life Cycle Environmental Benefits but Need Cost Reductions and Policy Support for Near-Term Adoption

Abstract

In December 2018, the California Air Resources Board (CARB) approved the Innovative Clean Transit regulation, which is designed to transition the state to all-electric bus fleets by 2040. To comply with this first-of its-kind regulation, transit agencies have two alternatives: battery electric buses (BEBs) and hydrogen fuel cell electric buses (FCEBs). These options vary in energy requirements, overall effectiveness in reducing different emission types, associated life cycle costs (including disposal of the bus), and ability to meet operating needs of transit agencies. To support transit agencies and decision makers transition to cleaner bus technologies, researchers at UC Irvine developed a life cycle-based analysis (LCA) tool to estimate the potential costs and benefits of switching to BEBs and FCEBs compared to conventional buses. The LCA tool was tested on the Orange County Transportation Authority (OCTA) to better understand the environmental impacts and cost constraints.

Suggested Citation
Scott Samuelsen (2019) Electrified Buses Provide Life Cycle Environmental Benefits but Need Cost Reductions and Policy Support for Near-Term Adoption. Policy Brief. UC ITS. Available at: https://doi.org/10.7922/g2vt1qcb.

published journal article

Information systems in logistics and transportation.

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Publication Date

January 1, 1999

Author(s)

Suggested Citation
AC Regan (1999) “Information systems in logistics and transportation.”, TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 33(6), pp. 478–480.

Preprint Journal Article

Exploring backdoor attacks against large language model-based decision making

Publication Date

January 1, 2024

Author(s)

Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lei Wang, Yu-Han (Doris) Wang, Qi Alfred Chen, Qi Zhu
Suggested Citation
Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen and Qi Zhu (2024) “Exploring backdoor attacks against large language model-based decision making”. Research Gate. Available at: https://www.researchgate.net/profile/Yixuan-Wang-93/publication/381109316_Exploring_Backdoor_Attacks_against_Large_Language_Model-based_Decision_Making/links/66775067d21e220d89c8d757/Exploring-Backdoor-Attacks-against-Large-Language-Model-based-Decision-Making.pdf (Accessed: August 21, 2025).