conference paper

An industry in transition : Third party logistics in the information age

Proceedings of the 80th annual meeting of the transportation research board

Publication Date

January 1, 2001

Abstract

The third party logistics industry is currently undergoing a rapid transition. The main drivers of these changes are advances in information and communications technologies and the emergence worldwide of the so called “e-tailers or dot-coms”. The advances in information technology (IT) make possible many new strategies and enable integration of the supply chain system. In addition, the new Internet-enabled companies are setting up shop quickly and in some cases outsourcing all of their logistics and transportation functions increasing the need for both logistics services and a wide variety of new product offerings. In this paper we provide a characterization of the industry and discuss past and future research opportunities

Suggested Citation
Amelia C. Regan and Jiongjiong Song (2001) “An industry in transition : Third party logistics in the information age”, in Proceedings of the 80th annual meeting of the transportation research board, p. 25 p..

published journal article

Benefits of near-zero freight: The air quality and health impacts of low-NOx compressed natural gas trucks

Journal of the Air & Waste Management Association

Publication Date

November 2, 2021

Abstract

The use of low-NOx compressed natural gas (CNG) medium-duty vehicles (MDVs) and heavy-duty vehicles (HDVs) has the potential to significantly reduce NOx emissions and yield improvements in regional air quality. However, the extent of air quality improvement depends on many factors including future levels of vehicle deployment, the evolution of emissions from other sources, and meteorology. An analysis of the impacts requires modeling the atmosphere to account for both primary and secondary air pollutants, and the use of health impact assessment tools to map air quality changes into quantifiable metrics of human health. Here, we quantify and compare the air quality and health impacts associated with the deployment of low-NOx CNG engines to power future MDV and HDV fleets in California relative to both a business-as-usual and a more advanced fleet composition. The results project that reductions in summer ground-level ozone could reach 13 ppb when compared to a baseline fleet of diesel and gasoline HDV and MDV and could reach 6 ppb when compared to a cleaner fleet that includes some zero-emission vehicles and fuels. Similarly, for all CNG cases considered reductions in PM2.5 are predicted to range from 1.2 ug/m3 to 2.7 ug/m3 for a summer episode and from 3.1 ug/m3 to approximately 7.8 ug/m3 for a winter episode. These improvements yield short-term health benefits equivalent to 47 to 56 million in summer and 38 to 43 million in winter during episodes conducive to poor air quality. Additionally, the use of zero emission vehicle options such as battery electric and hydrogen fuel cell trucks could achieve approximately 25% to 31% higher benefits for an equivalent fleet penetration level due to the additional emission reductions achieved. Implications: The paper provides a quantitative estimate of the air quality and human health benefits that can be achieved through the use of novel compressed natural gas engines (i.e., low-NOx CNG) in medium- and heavy-duty vehicles and provide a comparison with zero emission vehicles. Thus, our findings will provide support for policy development seeking to transform the trucking sector to meet clean air and climate goals given the current struggle policymakers have with selecting between alternative truck technologies due to variance in factors like cost and technical maturity.

Suggested Citation
Michael Mac Kinnon, Shupeng Zhu, Alejandra Cervantes, Donald Dabdub and G.S. Samuelsen (2021) “Benefits of near-zero freight: The air quality and health impacts of low-NOx compressed natural gas trucks”, Journal of the Air & Waste Management Association, 71(11), pp. 1428–1444. Available at: 10.1080/10962247.2021.1957727.

working paper

Olympics Transportation System Management Performance Analysis

Publication Date

March 1, 1985

Working Paper

UCI-ITS-WP-85-2

Areas of Expertise

Abstract

This report is a preliminary evaluation of the CALTRANS transportation system management program implemented during the 1984 Los Angeles Summer Olympics. It discusses the objectives and strategies of the CALTRANS TSM program. describes highway system performance during the Olympics, and presents tentative conclusions regarding the overall success of the TSM program.Results indicate that response to the Olympics was highly varied both in time and space. During the Olympics period. travel volumes were highly variable, starting out much below normal levels and gradually increasing. The most significant travel adjustments took place in the vicinity of the Los Angeles downtown/Coliseum area. In this area both traffic volumes and truck volumes remained low throughout the Olympics. The data also indicated a consistent drop in work trip travel of about 10 percent. a shift in truck traffic to evening hours, and a reduction in traffic incidents throughout Los Angeles County. It is concluded that the combination of these relatively minor changes. together with more intensive than normal traffic management, were responsible for the efficient flow of traffic during the Olympics.

Suggested Citation
Genevieve Giuliano (1985) Olympics Transportation System Management Performance Analysis. Working Paper UCI-ITS-WP-85-2. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/7cw8q2v1.

published journal article

The promise and pitfalls of early project notification meetings; illuminating Santa Ana's sunshine ordinance

Cities

Abstract

Despite the promise that early public participation could enhance transparency and information access, little is known about which public engagement processes and techniques are most effective at the initial stages of plan development and whether development notification meetings enhance inclusion for impacted residents. Responding to these uncertainties, we analyzed the promise and potential pitfalls of early public notification meetings by reviewing posted development information and interviewing resident leaders and planners involved in the City of Santa Ana’s Sunshine Ordinance development notification meetings for proposed residential and mixed-use projects. Findings confirmed early notification increased access to information and created a more transparent process, but indicated the lack of inclusive practices generated community distrust and opposition and spurred residents to take insurgent actions when meetings offered few specifics and limited collaboration. Findings inform efforts of local jurisdictions and advocates seeking to establish or improve early participation initiatives.

Suggested Citation
Douglas Houston, Michelle E. Zuñiga and Maria Ceja (2024) “The promise and pitfalls of early project notification meetings; illuminating Santa Ana's sunshine ordinance”, Cities, 149, p. 104977. Available at: 10.1016/j.cities.2024.104977.

published journal article

Race and Street-Level Firework Legalization as Primary Determinants of July 4th Air Pollution across Southern California

Atmosphere

Publication Date

February 1, 2023

Author(s)

Shahir Masri, Leonel Flores, Jose Rea, Jun Wu

Abstract

Air pollution is a major public health threat that is associated with asthma, cardiovascular disease, respiratory disease and all-cause mortality. Among the most important acute air pollution events occurring each year are celebrations involving fireworks, such as the 4th of July holiday in the United States. In this community-engaged study, academic partners and residents collaborated to collect indoor and outdoor PM2.5 concentration measurements in the disadvantaged city of Santa Ana, California, using low-cost AtmoTube sensor devices before, during and after the July 4th firework celebration, while also examining July 4th data extracted from the PurpleAir sensor network across over a hundred other cities in southern California. Average outdoor PM2.5 concentrations on July 4th were found to be three-to-five times higher than baseline, with hourly concentrations exceeding 160 μg/m3. Outdoor averages were roughly 30% to 100% higher than indoor levels. The most polluted cities exhibited 15-times higher PM2.5 levels compared with the least contaminated cities and were often those where household-level fireworks were legal for sale and use. Race/ethnicity was found to be the leading predictor of July 4th-related air pollution across three counties in southern California, with greater PM2.5 being associated with higher proportions of Hispanic residents and lower proportions of White residents. The findings from this study underscore the importance of environmental justice as it relates to firework-related air pollution exposure, and the critical role city- and county-level firework policies play in determining exposure.

Suggested Citation
Shahir Masri, Leonel Flores, Jose Rea and Jun Wu (2023) “Race and Street-Level Firework Legalization as Primary Determinants of July 4th Air Pollution across Southern California”, Atmosphere, 14(2), p. 401. Available at: 10.3390/atmos14020401.

op-ed

How California can use electric vehicles to solve its blackouts

conference paper

Heterogeneous sensor data fusion for freeway traffic surveillance and performance

Proceedings of the 12th world congress on intelligent transport systems, san francisco, CA

Publication Date

January 1, 2005

Abstract

Section-based traffic information is known to better reflect traffic dynamics and changes compared to the point traffic measurements. Furthermore, travel time, one of the section-related traffic measurements, plays a significant role in traffic operation and control and is directly available by tracing individual vehicles. Therefore, many studies have been conducted to obtain accurate travel time based on available infrastructure and traffic sensors. This paper demonstrates a new approach to fuse raw traffic data from heterogeneous sensors at different locations for vehicle tracking and expands the study scope to travel time estimation accuracy analysis. Results from H-TRAUSRF, a vehicle tracking system for Heterogeneous detector based TRAffic SURveillance and perFormance (H-TRASURF), give new insights in maximizing currently implemented detectors.

Suggested Citation
Seri Park, Cheol Oh and Stephen G. Ritchie (2005) “Heterogeneous sensor data fusion for freeway traffic surveillance and performance”, in Proceedings of the 12th world congress on intelligent transport systems, san francisco, CA, p. 15p.

working paper

Assessing the Benefits and Costs of Intelligent Tranportation Systems: Ramp Meters

Publication Date

July 1, 1999

Associated Project

Author(s)

Abstract

This study undertakes an evaluation of the benefits and costs of ramp metering. The primary purpose was to provide empirical information on the value of the introduction and use of this form of ITS technology. Three cases are examined in the analysis. The impact of ramp metering on traffic behavior is simulated based on a cell transmission model and an assumed travel demand on the freeway as well as the ramp. Temporal travel demand change is determined based on the average travel pattern obtained from the I-880 freeway database. Isolated, single traffic responsive ramp metering is assumed. We identify and quantify the benefits and costs based on established assumptions, and finally analyzed economic value of ramp metering. Benefits of ramp metering are derived based on travel time value and fuel consumption and by savings in travel delay. In this study, it turns out that there is a net increase in vehicle emissions as a result of with ramp metering.

Preprint Journal Article

Learning Representation for Anomaly Detection of Vehicle Trajectories

Publication Date

March 8, 2023

Author(s)

Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu

Report Number

arXiv:2303.05000

Abstract

Predicting the future trajectories of surrounding vehicles based on their history trajectories is a critical task in autonomous driving. However, when small crafted perturbations are introduced to those history trajectories, the resulting anomalous (or adversarial) trajectories can significantly mislead the future trajectory prediction module of the ego vehicle, which may result in unsafe planning and even fatal accidents. Therefore, it is of great importance to detect such anomalous trajectories of the surrounding vehicles for system safety, but few works have addressed this issue. In this work, we propose two novel methods for learning effective and efficient representations for online anomaly detection of vehicle trajectories. Different from general time-series anomaly detection, anomalous vehicle trajectory detection deals with much richer contexts on the road and fewer observable patterns on the anomalous trajectories themselves. To address these challenges, our methods exploit contrastive learning techniques and trajectory semantics to capture the patterns underlying the driving scenarios for effective anomaly detection under supervised and unsupervised settings, respectively. We conduct extensive experiments to demonstrate that our supervised method based on contrastive learning and unsupervised method based on reconstruction with semantic latent space can significantly improve the performance of anomalous trajectory detection in their corresponding settings over various baseline methods. We also demonstrate our methods’ generalization ability to detect unseen patterns of anomalies.

Suggested Citation
Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen and Qi Zhu (2023) “Learning Representation for Anomaly Detection of Vehicle Trajectories”. arXiv. Available at: http://arxiv.org/abs/2303.05000 (Accessed: October 5, 2023).