working paper

Evaluation of 1984 Los Angeles Summer Olympics Traffic Management

Publication Date

December 1, 1987

Working Paper

UCI-ITS-WP-87-8

Areas of Expertise

Abstract

This report presents the results of an evaluation of the Transportation System Management plan employed during the 1984 Los Angeles Summer Olympics. The Summer Olympics presented Los Angeles area transportation planners with an unprecedented challenge: to manage the circulation of an expected 1.2 million  visitors, 6 millions spectators, and nearly 25,000 athletes, media, and Olympic family within a regional transportation system which had reached capacity in many areas. Owing to the lack of both funds and time, capital improvements to meet the anticipated increase were not feasible. Rather, Los Angeles transportation planners had no choice but to develop and implement the most ambitious transportation management program ever attempted.Caltrans District 7, in conjunction with several local transportation agencies and the Los Angeles Olympics Organizing Committee, invested two years of effort in the development of a viable and effective traffic management plan for the 1984 Summer Olympics. From a traffic management perspective, the Los Angeles Summer Olympics were an unqualified success. With few exceptions, major traffic problems failed to materialize, and, for the first time in the recent history of the Olympics, not one group of spectators got stranded and missed an event.The Los Angeles Olympics provided a unique opportunity to test the effectiveness of transportation system management under extreme conditions. The apparent success of the experiment merits close analysis, both in order to identify what worked and what did not, and to determine whether lessons learned from the experience can provide guidelines for future transportation policy decisions.

Suggested Citation
Genevieve Giuliano, Kevin Haboian, Joseph Prashker and Will Recker (1987) Evaluation of 1984 Los Angeles Summer Olympics Traffic Management. Working Paper UCI-ITS-WP-87-8. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/19m6d5m4.

conference paper

Modeling, analysis, and optimization of Electric Vehicle HVAC systems

2016 21st asia and south pacific design automation conference (ASP-DAC)

Publication Date

January 1, 2016

Author(s)

Mohammad Al Faruque, Korosh Vatanparvar
Suggested Citation
Mohammad Abdullah Al Faruque and Korosh Vatanparvar (2016) “Modeling, analysis, and optimization of Electric Vehicle HVAC systems”, in 2016 21st asia and south pacific design automation conference (ASP-DAC). IEEE. Available at: 10.1109/aspdac.2016.7428048.

published journal article

Emissions impacts of a modal shift: A case study of the Southern California ports region

Journal of International Logistics and Trade

Publication Date

December 1, 2007

Abstract

This paper presents a case study examining emissions impacts of a modal shift from on-road trucks to rail for goods movement through the Southern California ports region, one of the severest nonattainment areas in terms of national air quality standards. Recent completion of the Alameda Corridor, a 20-mile rail expressway connecting the Ports of Long Beach and Los Angeles with rail main lines near downtown Los Angeles, provides substantial reserve capacity for port traffic to be diverted from the severely congested road network to the rail line. On-road vehicle emissions were estimated using California’s mobile-source emissions model EMFAC that incorporates a set of emissions factors for each vehicle type and an estimate of vehicle activity. These emissions were then compared with the emissions generated from trains increased to carry freight volume diverted from truck traffic. On the basis of year 2000 traffic level, it was estimated that for a 20% modal shift of port traffic, mobile-source emissions can be reduced up to 0.86 tons for nitrogen oxides and 16 kg for particulates/day. The analysis results indicate encouraging the modal shift for port-related freight traffic should be an integral part of overall air quality improvement initiatives for the study area.

Suggested Citation
Minyoung Park, Amelia Regan and Choon-Heon Yang (2007) “Emissions impacts of a modal shift: A case study of the Southern California ports region”, Journal of International Logistics and Trade, 5(2), pp. 67–81. Available at: 10.24006/jilt.2007.5.2.67.

working paper

Operating Differences and Restraints Imposed by the Enabling Ordinances of the Fifteen California Transit Districts

Publication Date

November 1, 1976

Author(s)

Al Hollinden, Gordon (Pete) Fielding

Working Paper

UCI-ITS-WP-76-4

Areas of Expertise

Abstract

The Honorable Walter M. Ingalls, Chairman of the California State Assembly Committee on Transportation, requested that the Institute of Transportation Studies, Transit Management Program, complete an analysis of the enabling legislation of the 15 California Transit Districts. This report was prepared in response to this request. A comparison is provided between districts to provide data, and recommendations are made to assist the Transportation Committee when drafting transit legislation. The research validated the concept of separate enabling acts for each district based on the demographic, geographical and political factors peculiar to that district. Therefore, there is no recommendation for the development of a general law for all California transit districts. The difference between the various districts is such that it appears prudent to rely on site-specific legislation drafted with knowledge of provisions applying to established districts. One of the goals of this study was to facilitate the between-district comparisons in existing law. Twenty major issues are highlighted in the report as being worthy of special consideration by the Assembly Transportation Committee. These issues extend over the complete range of subject matter in the enabling acts and represent potential troublesome areas that may have to be modified and amended. In addition to the 20 major issues, numerous other differences are delineated.

Suggested Citation
Al Hollinden and Gordon J. Fielding (1976) Operating Differences and Restraints Imposed by the Enabling Ordinances of the Fifteen California Transit Districts. Working Paper UCI-ITS-WP-76-4. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/4g44893v.

published journal article

Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions

IEEE Transactions on Intelligent Transportation Systems

Publication Date

July 1, 2022

Author(s)

Shih-Yuan Yu, Arnav Vaibhav Malawade, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Al Faruque

Abstract

There is considerable evidence that evaluating the subjective risk level of driving decisions can improve the safety of Autonomous Driving Systems (ADS) in both typical and complex driving scenarios. In this paper, we propose a novel data-driven approach that uses scene-graphs as intermediate representations for modeling the subjective risk of driving maneuvers. Our approach includes a Multi-Relation Graph Convolution Network, a Long-Short Term Memory Network, and attention layers. To train our model, we formulate subjective risk assessment as a supervised scene classification problem. We evaluate our model on both synthetic lane-changing datasets and real-driving datasets with various driving maneuvers. We show that our approach achieves a higher classification accuracy than the state-of-the-art approach on both large (96.4% vs. 91.2%) and small (91.8% vs. 71.2%) lane-changing synthesized datasets, illustrating that our approach can learn effectively even from small datasets. We also show that our model trained on a lane-changing synthesized dataset achieves an average accuracy of 87.8% when tested on a real-driving lane-changing dataset. In comparison, the state-of-the-art model trained on the same synthesized dataset only achieved 70.3% accuracy when tested on the real-driving dataset, showing that our approach can transfer knowledge more effectively. Moreover, we demonstrate that the addition of spatial and temporal attention layers improves our model’s performance and explainability. Finally, our results illustrate that our model can assess the risk of various driving maneuvers more accurately than the state-of-the-art model (86.5% vs. 58.4%, respectively).

Suggested Citation
Shih-Yuan Yu, Arnav Vaibhav Malawade, Deepan Muthirayan, Pramod P. Khargonekar and Mohammad Abdullah Al Faruque (2022) “Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions”, IEEE Transactions on Intelligent Transportation Systems, 23(7), pp. 7941–7951. Available at: 10.1109/TITS.2021.3074854.

published journal article

Globally Optimal Assignment Algorithm for Collective Object Transport Using Air–Ground Multirobot Teams

IEEE Transactions on Control Systems Technology

Publication Date

January 1, 2024

Author(s)

Tatsuya Miyano, Justin Romberg, Magnus Egerstedt

Abstract

We consider the problem of collectively transporting multiple objects using air–ground multirobot teams. The objective is to find the optimal matching between the objects and aerial/ground robots that minimizes the energy of the overall system. We reveal the local optimality criteria for this combinatorial problem and prove that combining a branch and bound algorithm with a negative-cycle canceling algorithm (NCCA) yields an efficient algorithm that provides the globally optimal solution of the problem. Numerical experiments demonstrate the performance on practical problems.

Suggested Citation
Tatsuya Miyano, Justin Romberg and Magnus Egerstedt (2024) “Globally Optimal Assignment Algorithm for Collective Object Transport Using Air–Ground Multirobot Teams”, IEEE Transactions on Control Systems Technology, 32(1), pp. 258–265. Available at: 10.1109/TCST.2023.3291880.

conference paper

A machine learning approach for localization in cellular environments

2018 IEEE/ION position, location and navigation symposium (PLANS)

Publication Date

April 1, 2018

Author(s)

Ali Abdallah, Samer S. Saab, Zaher Kassas
Suggested Citation
Ali A. Abdallah, Samer S. Saab and Zaher M. Kassas (2018) “A machine learning approach for localization in cellular environments”, in 2018 IEEE/ION position, location and navigation symposium (PLANS). IEEE, pp. 1223–1227. Available at: 10.1109/plans.2018.8373508.

research report

The impact of changing women's roles on transportation needs and usage

Publication Date

September 1, 1983

Author(s)

Final Report

CA-11-0024-1

Areas of Expertise

Suggested Citation
William M. Michelson (1983) The impact of changing women's roles on transportation needs and usage. Final Report CA-11-0024-1. Washington, D.C. : Springfield, VA: Urban Mass Transportation Administration, Office of Technical Assistance ; National Technical Information Service [distributor. Available at: https://catalog.hathitrust.org/Record/010630664.

published journal article

Multi-criteria sustainability assessment in transport planning for recreational travel

International Journal of Sustainable Transportation

Suggested Citation
Joseph Y.J. Chow, Sarah V. Hernandez, Ankoor Bhagat and Michael G. McNally (2013) “Multi-criteria sustainability assessment in transport planning for recreational travel”, International Journal of Sustainable Transportation, 8(2), pp. 151–175. Available at: 10.1080/15568318.2011.654177.