conference paper
book/book chapter
conference paper
working paper
The Glenn Anderson Freeway-Transitway (the Century Freeway or 1-105) an Los Angeles County, to cost over two billion dollars, traverses nine cities and the County of Los Angeles. At completion in 1993, the Century Freeway will be seventeen miles long, six lanes wide, contain areas for high occupancy vehicles and for rail transit; it will be landscaped and noise attenuated, and it will be surrounded by thousands of units of housing which are linked to its development.
working paper |
May 1990
working paper |
Jun 1991
working paper |
Sep 1991
working paper |
Jun 1989
working paper |
May 1990
published journal article
working paper
The issue of shared use urban freight facilities first received attention during the 1970’s when it was observed that, while inter-urban freight movements were becoming increasingly efficient, there were significant diseconomies in the movement of freight via truck within urban areas. Early research suggested that shared urban freight facilities should be constructed so that trucking companies could consolidate smaller shipments into larger ones. In the past few years, the concept of “Urban Ports” has gained increasing attention, not just for carriers who need to load and unload freight, but to provide a place near the urban center for truckers to wait out peak traffic periods. In this paper, using recently developed survey data, we examine trucking company interest in such facilities by examining the results of an ordered probit demand model.
journal article preprint
Structural equation modeling (SEM) is an extremely flexible linear-in-parameters multivariate statistical modeling technique. It has been used in modeling travel behavior and values since about 1980, and its use is rapidly accelerating, partially due to the availability of improved software. The number of published studies, now known to be more than fifty, has approximately doubled in the past three years. This review of SEM is intended to provide an introduction to the field for those who have not used the method, and a compendium of applications for those who wish to compare experiences and avoid the pitfall of reinventing previous research.
working paper
This paper presents a policy sensitive approach to modeling travel behavior based on activity pattern analysis. A theoretical model of complex travel behavior is formulated on a recognition of a wide range of interdependencies associated with an individual’s travel decisions in a constrained environment. Travel is viewed as input to a more basic process involving activity decisions. A fundamental tenet of this approach is that travel decisions are driven by the collection of activities that form an agenda for participation; the utility of any specific travel decision can be determined only within the context of the entire agenda. Based on the theoretical model of complex travel behavior, an operational system of models, STARCHILD (Simulation of Travel/Activity Responses to Complex Household Interactive Logistic Decisions), has been developed to examine the formation of household travel/activity patterns, and is presented in a companion paper (Recker et al, 1985).
research report
The focus of this research project was to develop a new simulation framework for analyzing traffic networks with Advanced Traveler Information Systems (ATIS) and/or Advanced Traffic Management Systems ( ATMS). The report describes the development of DYNASMART (DYnamic Network Assignment-Simulation Model for Advanced Road Telematics). The report is presented as follows: Chapter 1 discusses the simulation approach of DYNASMART and explains the traffic control features incorporated in it during the research. Chapter 2 discuss the simulations performed with a trial network with ATMS controls. Chapter 3 concentrates on the ATIS simulations on the Anaheim network. Results from the simulations of traffic management for special-events traffic from the Anaheim stadium are presented in Chapter 4, followed by overall conclusions.
conference paper
Traffic Sign Recognition (TSR) is crucial for safe and correct driving automation. Recent works revealed a general vulnerability of TSR models to physical-world adversarial attacks, which can be low-cost, highly deployable, and capable of causing severe attack effects such as hiding a critical traffic sign or spoofing a fake one. However, so far existing works generally only considered evaluating the attack effects on academic TSR models, leaving the impacts of such attacks on real-world commercial TSR systems largely unclear. In this paper, we conduct the first large-scale measurement of physical-world adversarial attacks against commercial TSR systems. Our testing results reveal that it is possible for existing attack works from academia to have highly reliable (100%) attack success against certain commercial TSR system functionality, but such attack capabilities are not generalizable, leading to much lower-than-expected attack success rates overall. We find that one potential major factor is a spatial memorization design that commonly exists in today’s commercial TSR systems. We design new attack success metrics that can mathematically model the impacts of such design on the TSR system-level attack success, and use them to revisit existing attacks. Through these efforts, we uncover 7 novel observations, some of which directly challenge the observations or claims in prior works due to the introduction of the new metrics.