conference paper

Method for creating a real-time distributed travel history database - Persistent traffic cookies project

Travel survey methods, information technology, and geospatial data

Publication Date

January 1, 2006

Author(s)

James Marca, Craig Rindt, R. (Jay) Jayakrishnan

Abstract

A novel distributed method for estimating a trip table in real time is described. The system is called “persistent traffic cookies” by analogy with the use of cookies by web servers to keep track of the current state of web browsers navigating a web site. The method uses traffic cookies placed on in-vehicle computers to maintain the state (current trip) of vehicles moving through the system. These cookies are persistent from day to day; taken together, they form a complete travel history for a traveler or vehicle. The method leverages the vehicles to store their own travel data and then physically do carry those data around the network. Advantages include scalability in both storage and computational effort as well as the unique ability to incorporate the travel behavior of individuals into real-time traffic predictions. A small-scale simulation is presented to illustrate the concept and its potential applications.

Suggested Citation

James E. Marca, Craig R. Rindt and R. Jayakrishnan (2006) “Method for creating a real-time distributed travel history database - Persistent traffic cookies project”, in Travel survey methods, information technology, and geospatial data. NATL ACAD SCI, pp. 69–77.

conference paper

Organizational Decision-making Processes of Alternative Fuel Adoption: An Empirical Study with Heavy-duty Vehicle Fleets in California

100th Transportation Research Board (TRB) Annual Meeting

Publication Date

January 1, 2021

Author(s)

Youngeun Bae, Craig Rindt

Suggested Citation

Youngeun Bae and Craig R Rindt (2021) “Organizational Decision-making Processes of Alternative Fuel Adoption: An Empirical Study with Heavy-duty Vehicle Fleets in California”. 100th Transportation Research Board (TRB) Annual Meeting, Washington, DC.

conference paper

Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space

International Symposium on Transportation and Traffic Theory (ISTTT25)

Publication Date

July 8, 2023

Author(s)

Irene Martinez, Wenlong Jin

Suggested Citation

Irene Martinez and Wenlong Jin (2023) “Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space”. International Symposium on Transportation and Traffic Theory (ISTTT25).

Phd Dissertation

Physical layer key generation for wireless communication security in automotive cyber-physical systems

Publication Date

December 31, 2020

Author(s)

Anthony Lopez

Areas of Expertise

Intelligent Transportation Systems, Emerging Technologies, & Big Data

View Phd Dissertation

Abstract

Modern automotive Cyber-Physical Systems (CPS) are increasingly adopting a variety of wireless communications (Radio Frequency and Visible Light) as a promising solution for challenges such as the wire harnessing problem, collision detection and avoidance, traffic control, and environmental hazards. Regrettably, this new trend results in security challenges that can put the safety and privacy of the automotive CPS and passengers at great risk. Further, automotive wireless communication security is constrained by strict energy and performance limitations of electronic controller units and sensors. As a result, the key generation and management for secure automotive wireless communication is an open research challenge. This thesis aims to help solve these security challenges with a novel key management scheme built upon a physical layer key generation technique that exploits the reciprocity and high spatial and temporal variation properties of the automotive wireless communication channel. A key length optimization algorithm is also developed to help improve performance (in terms of time and energy) for safety-related applications. Channel models, simulations and real-world experiments with vehicles and remote-controlled cars were performed to validate the practicality and effectiveness of the scheme. Lastly, it is shown that generated keys may have high security strength (67% min-entropy for the Radio Frequency domain and high randomness according to NIST tests for the Visible Light domain) and that code size overhead is 20 times less than state-of-the-art security techniques.

Suggested Citation

ANTHONY LOPEZ (2020) Physical layer key generation for wireless communication security in automotive cyber-physical systems. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1gpb62p/alma991034991438504701.

published journal article

An empirical analysis and policy implications of work tours utilizing public transit

Transportation Research Part A: Policy and Practice

Publication Date

December 1, 2020

Author(s)

Rezwana Rafiq, Michael McNally

View published journal article

Abstract

We analyze the complex travel behavior of workers who utilize public transit as part of their work tours (“transit commuters”). Here, complex travel behavior is defined in terms of tours, where a tour is defined as a sequence of trips and activities that begins and ends at the same location and a work tour contains at least one non-home, work activity. The objective of this study is to investigate how transit commuters link non-work activities as part of work tours under transit operational constraints. In particular, we identify dominant patterns of work tours made by transit commuters and analyze these tours using a set of activity-travel analytics and data from the 2017 National Household Travel Survey (NHTS). The primary insights are: (1) about 80 percent of work tours consist of 7 dominant patterns whereas the remaining 20 percent of tours demonstrate a total of 106 diverse and more complicated patterns; (2) half of the transit work tours are complex; (3) most simple tours are transit-only tours whereas most complex tours are multi-modal tours; and (4) transit use is more complex than the traditional home to work commute with a diverse set of choices at various stages of activity scheduling. While policies associated with public transit typically focus only on the journey to work, this study considers the complete set of trips starting and ending at home including intermediate non-work activity, which can provide insights for land use and transit-related policies to better accommodate the complex travel behavior of commuters who utilize transit.

Suggested Citation

Rezwana Rafiq and Michael G. McNally (2020) “An empirical analysis and policy implications of work tours utilizing public transit”, Transportation Research Part A: Policy and Practice, 142, pp. 237–259. Available at: 10.1016/j.tra.2020.10.018.

published journal article

Bicycle streetscapes: a data driven approach to mapping streets based on bicycle usage

International Journal of Sustainable Transportation

Publication Date

August 1, 2023

Author(s)

Trisalyn A. Nelson, Colin Ferster, Avipsa Roy, Meghan Winters

View published journal article

Suggested Citation

Trisalyn A. Nelson, Colin Ferster, Avipsa Roy and Meghan Winters (2023) “Bicycle streetscapes: a data driven approach to mapping streets based on bicycle usage”, International Journal of Sustainable Transportation, 17(8), pp. 931–941. Available at: 10.1080/15568318.2022.2121670.

working paper

Strategic Hydrogen Refueling Station Locations Analysis with Scheduling and Routing Considerations of Individual Vehicles

Publication Date

September 5, 2012

Author(s)

Jee Eun (Jamie) Kang, Will Recker

Working Paper

UCI-ITS-WP-12-2

View working paper

Abstract

Set Covering problems find the optimal provision of service locations while guaranteeing an acceptable level of accessibility for every demand points in a given area. Other than reliance on static,exogenously-imposed accessibility measures, these problems either exclude substantive infrastructure-vehicle interactions or only include fragmented infrastructure-vehicle interactions related to the routing considerations of households seeking refueling service as a requirement of performing routine, daily activities. Here, we address this problem by coupling a Location-Routing Problem (LRP) that uses the set covering model as a location strategy to the Household Activity Pattern Problem (HAPP) as the mixed integer scheduling and routing model that optimizes households’ participation in out-of-home activities. The problem addressed includes multiple decision makers: the public/private sector as the service provider, and the collection of individual households that make their own routing decisions to perform a given set of “out-of-home activities” together with a visit to one of the service locations. A solution method that does not necessarily require the full information of the coverage matrix is developed to reduce the number of HAPPs that needs to be solved. The performance of the algorithm, as well as comparison of the results to the set covering model, is presented. Although the application is focused on identifying the optimal locations of Hydrogen Fuel Cell Vehicle (HFCV) refueling stations, this proposed formulation can be used as a facility location strategy for any service activity that is generally toured with other activities.

Suggested Citation

Jee Eun Kang and Will W. Recker (2012) Strategic Hydrogen Refueling Station Locations Analysis with Scheduling and Routing Considerations of Individual Vehicles. Working Paper UCI-ITS-WP-12-2. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/9bf4j0xn.

published journal article

An evaluation tool for advanced traffic information and management systems in urban networks

Transportation Research Part C: Emerging Technologies

Publication Date

September 1, 1994

Author(s)

R. (Jay) Jayakrishnan, Hani Mahmassani, Ta-Yin Hu

View published journal article

Suggested Citation

R. Jayakrishnan, Hani S. Mahmassani and Ta-Yin Hu (1994) “An evaluation tool for advanced traffic information and management systems in urban networks”, Transportation Research Part C: Emerging Technologies, 2(3), pp. 129–147. Available at: 10.1016/0968-090X(94)90005-1.

published journal article

Mathematical logic in the modeling of control systems

IFAC Proceedings Volumes

Publication Date

January 1, 2006

Author(s)

Yannis Pavlis, Will Recker

View published journal article

Suggested Citation

Yannis Pavlis and Will Recker (2006) “Mathematical logic in the modeling of control systems”, IFAC Proceedings Volumes, 39(12), pp. 491–496. Available at: 10.3182/20060829-3-nl-2908.00085.

Preprint Journal Article

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving

Publication Date

July 6, 2021

Author(s)

Takami Sato, Qi Alfred Chen

Report Number

arXiv:2107.02488

View Preprint Journal Article

Abstract

After the 2017 TuSimple Lane Detection Challenge, its evaluation based on accuracy and F1 score has become the de facto standard to measure the performance of lane detection methods. In this work, we conduct the first large-scale empirical study to evaluate the robustness of state-of-the-art lane detection methods under physical-world adversarial attacks in autonomous driving. We evaluate 4 major types of lane detection approaches with the conventional evaluation and end-to-end evaluation in autonomous driving scenarios and then discuss the security proprieties of each lane detection model. We demonstrate that the conventional evaluation fails to reflect the robustness in end-to-end autonomous driving scenarios. Our results show that the most robust model on the conventional metrics is the least robust in the end-to-end evaluation. Although the competition dataset and its metrics have played a substantial role in developing performant lane detection methods along with the rapid development of deep neural networks, the conventional evaluation is becoming obsolete and the gap between the metrics and practicality is critical. We hope that our study will help the community make further progress in building a more comprehensive framework to evaluate lane detection models.

Suggested Citation

Takami Sato and Qi Alfred Chen (2021) “On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving”. arXiv. Available at: http://arxiv.org/abs/2107.02488 (Accessed: October 11, 2023).