conference paper

Instantaneous connectivity of One-Di­men­sion­al intervehicle communication networks for general traffic conditions

Proceedings of the 88th annual meeting of the transportation research board

Publication Date

January 1, 2009

Abstract

Rapid developments in various frontiers of telecommunications and information technologies could enable the development of next-generation Intelligent Transportation Systems (ITS) that rely on inter-vehicle communications (IVC) to disseminate time-critical and location-based traffic information. In this study, we present a new model for computing the instantaneous multihop connectivity and end node probability for vehicles on a line in a transportation network, where traffic density may be non-uniform, and vehicles’ positions may depend on each other. With given locations of all vehicles, the proposed model can be used to estimate the connectivity when vehicles have different probabilities to be equipped. With the model, we study how the distribution patterns of vehicles can affect information propagation, formulate the choice of the location of a road-side station as an optimization problem, and examine the time-dependent connectivity properties on an inhomogeneous ring road. The new model is simple in formulation and computation and are more general than existing models.

Suggested Citation
Wen-Long Jin and Wilfred W. Recker (2009) “Instantaneous connectivity of One-Di­men­sion­al intervehicle communication networks for general traffic conditions”, in Proceedings of the 88th annual meeting of the transportation research board, p. 21p.

published journal article

Anger and depression among incarcerated male youth: Predictors of violent and nonviolent offending during adjustment to incarceration.

Journal of Consulting and Clinical Psychology

Publication Date

August 1, 2019

Author(s)

Erin L. Kelly, Raymond Novaco, Elizabeth Cauffman
Suggested Citation
Erin L. Kelly, Raymond W. Novaco and Elizabeth Cauffman (2019) “Anger and depression among incarcerated male youth: Predictors of violent and nonviolent offending during adjustment to incarceration.”, Journal of Consulting and Clinical Psychology, 87(8), pp. 693–705. Available at: 10.1037/ccp0000420.

published journal article

Infrastructure-based sensor fusion for acquiring gross vehicle weight rating classifications

Transportation Research Interdisciplinary Perspectives

Suggested Citation
Guoliang Feng, Yiqiao Li, Andre Y.C. Tok and Stephen G. Ritchie (2025) “Infrastructure-based sensor fusion for acquiring gross vehicle weight rating classifications”, Transportation Research Interdisciplinary Perspectives, 32, p. 101535. Available at: 10.1016/j.trip.2025.101535.

conference paper

Dynamic autonomous vehicle fleet operations: Optimization-based strategies to assign AVs to immediate traveler demand requests

Proceedings of the 97th annual meeting of the transportation research board

Publication Date

January 1, 2018

Author(s)

Michael Hyland, Hani Mahmassani

Abstract

The emergence and adoption of fully-autonomous vehicles (AVs) is expected to accelerate certain trends already underway in the transportation sector, such as the growth of shared-use mobility and mobility-on-demand services. This paper models an AV mobility service option wherein a fleet of AVs provide direct origin-destination service to travelers that request rides via a mobile application and expect to be picked up within a few minutes. The underlying problem is highly dynamic and stochastic. The solution strategy consists of repeated solution of an integer program referred to as the AV-traveler assignment problem. As the state of the system changes via dynamic traveler requests entering the system, the AV fleet operator re-solves the static AV-traveler assignment problem to assign and reassign AVâ??s to travelers. Given that AV fleets will need to compete with the personal vehicle in terms of cost and quality of service, the authors present and compare several optimization-based strategies to operate an AV fleet with the twin objectives of minimizing costs and maximizing quality of service. To compare the AV fleet operational strategies, the authors perform an extensive computational analysis using an agent-based simulation tool. The results indicate that using optimization-based heuristic strategies rather than simple first-come, first-served (FCFS) heuristics, and incorporating all AVs in the AV-traveler assignment problem (not only currently idle AVs) improves the efficiency of the AV fleet in terms of fleet miles and traveler wait times. The simulation results also indicate that the most-effective AV-traveler assignment strategy results in 6-7% of all fleet miles to be empty for spatially clustered traveler origins and destinations, compared with 11-15% for traveler origins and destinations that are uniformly distributed.

Suggested Citation
Michael Hyland and Hani S. Mahmassani (2018) “Dynamic autonomous vehicle fleet operations: Optimization-based strategies to assign AVs to immediate traveler demand requests”, in Proceedings of the 97th annual meeting of the transportation research board, p. 11p.

published journal article

Beginning the transformation

Mechanical Engineering

Publication Date

May 1, 2006

Author(s)

Mark Williams, Scott Samuelsen
Suggested Citation
Mark Williams and Scott Samuelsen (2006) “Beginning the transformation”, Mechanical Engineering, 128(05), pp. 40–43. Available at: 10.1115/1.2006-may-4.

published journal article

Shared school transportation: determinants of carpooling as children’s school travel mode in California

Transportation

Publication Date

June 1, 2020

Abstract

Carpooling has potential as an alternative mode of school transportation along with other viable options, especially at a time when technology continues to increase our reliance upon shared mobility. Unfortunately, our knowledge of carpooling as a school travel mode is very limited. The purpose of this paper is to fill this gap. Using a multinomial logit model, this study presents an analysis of data from the 2012 California Household Travel Survey to assess the effects of various factors, such as trip characteristics, child characteristics, parental or caregiver’s characteristics, household characteristics, and spatial variables on choosing carpooling as a school travel mode. The findings of the study indicate that travel distance is one of the major determinants of carpooling, suggesting that children are more likely to carpool to school as travel distance from home to school increases. The analysis shows that a higher income two-parent two-earner family with a 5–15-year-old female schoolchild is more likely to use carpooling for school trips when compared to other modes of transportation. Parental/caregiver characteristics are also found to be important, as children from households with young, female, higher educated heads are more likely to carpool to school. Results of spatial variables suggest that families living in neighborhoods with higher numbers of schoolchildren are also more likely to carpool. The empirical evidence presented in this study provides useful insight to school districts, policymakers, and other transportation related entities in identifying potential target groups to whom this travel mode could be presented.

Suggested Citation
Rezwana Rafiq and Suman Kumar Mitra (2020) “Shared school transportation: determinants of carpooling as children’s school travel mode in California”, Transportation, 47(3), pp. 1339–1357. Available at: 10.1007/s11116-018-9942-z.

published journal article

Estimating the value of urban green areas: A hedonic pricing analysis of the single family housing market in Los Angeles, CA

Landscape Urban Plann.

Publication Date

March 1, 2012
Suggested Citation
Jean-Daniel Saphores and Wei Li (2012) “Estimating the value of urban green areas: A hedonic pricing analysis of the single family housing market in Los Angeles, CA”, Landscape Urban Plann., 104(3-4), pp. 373–387. Available at: 10.1016/j.landurbplan.2011.11.012.

conference paper

Poster: Towards Large-Scale Measurement Study on LiDAR Spoofing Attacks against Object Detection

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Publication Date

November 7, 2022

Author(s)

Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen

Abstract

LiDAR (Light Detection And Ranging) is an indispensable sensor for precise long- and wide-range 3D sensing of the surrounding environment. The recent rapid deployment of autonomous driving (AD) has highly benefited from the advancement of LiDARs. At the same time, the safety-critical application strongly motivates its security research. Recent studies demonstrate that they can manipulate the LiDAR point cloud and fool object detection by shooting malicious lasers against LiDAR scanning. However, prior efforts focus on limited types of LiDARs and object detection models, and their threat models are not clearly validated in the real world. To fill the critical research gap, we plan to conduct the first large-scale measurement study on LiDAR spoofing attacks against a wide variety of LiDARs with major object detectors. To perform this measurement, we first significantly improved the LiDAR spoofing capability (30x more spoofing points than the prior attack) with more careful optics and functional electronics, which allows us to be the first to clearly demonstrate and quantify key attack capabilities assumed in prior works. In this poster, we present our preliminary results on VLP-16 and our research plan.

Suggested Citation
Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka and Qi Alfred Chen (2022) “Poster: Towards Large-Scale Measurement Study on LiDAR Spoofing Attacks against Object Detection”, in Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. New York, NY, USA: Association for Computing Machinery (CCS '22), pp. 3459–3461. Available at: 10.1145/3548606.3563537.

published journal article

The Scheduling of Consumer Activities: Work Trips

The American Economic Review

Publication Date

June 1, 1982

Author(s)

Suggested Citation
Kenneth A. Small (1982) “The Scheduling of Consumer Activities: Work Trips”, The American Economic Review, 72(3), pp. 467–479. Available at: https://www.jstor.org/stable/1831545.