conference paper

Adversarial Attacks on Adaptive Cruise Control Systems

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023

Publication Date

May 9, 2023

Author(s)

Yanan Guo, Takami Sato, Yulong Cao, Qi Alfred Chen, Yueqiang Cheng

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Abstract

DNN-based Adaptive Cruise Control (ACC) systems are very convenient but also safety critical. Although prior work has explored physical adversarial attacks on DNN models, those attacks are mostly static and their effects on a real-world ACC system are not clear. In this work, we propose the first end-to-end attack on ACC systems, and we test the safety indication on the state-of-the-art ACC products. The experimental results show that our approach can make the vehicle driving with ACC accelerate unsafely and cause a rear-end collision.

Suggested Citation

Yanan Guo, Takami Sato, Yulong Cao, Qi Alfred Chen and Yueqiang Cheng (2023) “Adversarial Attacks on Adaptive Cruise Control Systems”, in Proceedings of Cyber-Physical Systems and Internet of Things Week 2023. New York, NY, USA: Association for Computing Machinery (CPS-IoT Week '23), pp. 49–54. Available at: 10.1145/3576914.3587493.

conference paper

Quantifying traveler information provision in dynamic multiclass traffic networks

Proceedings of the 95th annual meeting of the transportation research board

Publication Date

January 1, 2016

Author(s)

Jiangbo (Gabe) Yu, R. (Jay) Jayakrishnan

Abstract

Information is effectively the same as a change in uncertainty, and therefore, they share the same unit system of measurement, such as bit, nat, and qubit. This paper adopts a strict definition of information and implements a method to quantify traveler information provision using an information-based modeling framework developed in earlier research. The framework combines a cognitive grouping model and information update scheme (learning) for calculating in quantified units the amount of information any traveler has about a route, which can be further decomposed to any sub-route during any time period of relevance. Such numerical quantification can be meaningful in evaluating network performance enhancement schemes such as ATIS and in modeling decision making when uncertainty is a significant factor. An application study with traffic network and detector data near downtown Los Angeles is used to demonstrated the use of the method for quantifying information provision from a dynamic message board, as an illustrative case. Further improvement and research directions are identified.

Suggested Citation

Jiangbo Yu and R. Jayakrishnan (2016) “Quantifying traveler information provision in dynamic multiclass traffic networks”, in Proceedings of the 95th annual meeting of the transportation research board, p. 18p.

conference paper

Two Rode, But Not Together: Gender Commuting Trade-Offs in Two-Worker Households

Transportation Research Board 103rd Annual Meeting

Publication Date

January 1, 2024

Author(s)

Md Islam, Jean-Daniel Saphores

Suggested Citation

Md Islam and Jean-Daniel Saphores (2024) “Two Rode, But Not Together: Gender Commuting Trade-Offs in Two-Worker Households”. Transportation Research Board 103rd Annual Meeting.

MS Thesis

Air Quality and Greenhouse Gases Impacts Associated with Zero and Near-Zero Heavy-Duty Vehicles in California / by Alejandra Cervantes.

Publication Date

January 1, 2017

Author(s)

Alejandra Cervantes

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Abstract

California’s transportation and power generation sectors emit more than 50 percent of the state’s greenhouse gas (GHG) emissions. The state GHG emission mitigation goals include reducing GHG emissions to 1990 levels by 2020. Additionally, to improve air quality throughout the state, aggressive criteria pollutant emission standards have been established for both sectors. Transitioning from fossil fuels to renewable fuels is one strategy to meet these environmental goals. Landfills and wastewater treatment plants are a source for the production of alternative fuels like renewable natural gas (RNG) and hydrogen (H2) which could then be used in either sector. To evaluate this strategy, the impact on GHG and criteria pollutant emissions, and on air quality resulting from the production and use of RNG in zero or near-zero emission medium-duty vehicles (MDV) and heavy-duty vehicles (HDV) are analyzed. The research reveals that (1) RNG produced from biogas is the most cost effective strategy to utilize the limited resource of biogas available in California even though H2 is the most attractive fuel, (2) the transportation sector is the more effective sector for the use of RNG fuel, (3) MDV and HDV outfitted with commercially available near-zero emission CNG engines with RNG results in substantial reductions in both GHG and criteria pollutant emissions, and significantly improves air quality than the use of H2 in LDV, and (4) the reductions in GHG and criteria pollutant emissions and improvements in air quality exceed those achieved with the MDV and HDV populations envisioned by the State Implementation Plan (SIP)

Suggested Citation

Alejandra Cervantes (2017) Air Quality and Greenhouse Gases Impacts Associated with Zero and Near-Zero Heavy-Duty Vehicles in California / by Alejandra Cervantes.. MS Thesis. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991011995559704701.

conference paper

Pattern clustering and activity inference

Proceedings of the 93rd annual meeting of the transportation research board

Publication Date

January 1, 2014

Author(s)

Mahdieh Allahviranloo, Robert Regue, Will Recker

Abstract

With the goal of developing procedures for predicting activity/travel patterns of individuals given their socio-demographic characteristics, the authors cluster individuals based on their activity patterns using a two-stage clustering technique to infer activity time windows. The two-stage technique is a combination of affinity propagation and K-means clustering methods. Activity patterns are created by segmenting daily activities into ten-minute intervals, carrying information about activity types, duration, schedule and travel distance. The authors test different combinations of two error measures: sequential alignment and agenda dissimilarity to compute the distance between each pair of patterns. In order to analyze the effectiveness of clustering on inferring activity patterns, the authors further test the prediction accuracy for two population, clustered and un-clustered. The results indicate that updating activity time windows based on the arrival time distribution of the clustered data, has higher accuracy than using those distributions with un-clustered data.

Suggested Citation

Mahdieh Allahviranloo, Robert Regue and Will Recker (2014) “Pattern clustering and activity inference”, in Proceedings of the 93rd annual meeting of the transportation research board, p. 16p.

conference paper

Material flow planning in multimodal manufacturing systems by computer simulation

2008 second asia international conference on modelling & simulation (AMS)

Publication Date

May 1, 2008

Author(s)

Mohsen Fattahi Ardakani, Fatemeh Ranaiefar, Ruzbeh Mohagheghzadeh

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Suggested Citation

Mohsen Fattahi Ardakani, Fatmeh Ranaiefar and Ruzbeh Mohagheghzadeh (2008) “Material flow planning in multimodal manufacturing systems by computer simulation”, in 2008 second asia international conference on modelling & simulation (AMS). IEEE, pp. 728–733. Available at: 10.1109/ams.2008.103.

published journal article

Just Look at the Map: Bounding Environmental Review of Housing Development in California

Environmental Law

Publication Date

January 1, 2024

Author(s)

Eric Biber, Christopher Elmendorf, Nicholas Marantz, Moira O'Neill

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Suggested Citation

Eric Biber, Christopher Elmendorf, Nicholas Marantz and Moira O'Neill (2024) “Just Look at the Map: Bounding Environmental Review of Housing Development in California”, Environmental Law, 54, p. 221. Available at: https://heinonline.org/HOL/Page?handle=hein.journals/envlnw54&id=237&div=&collection=.

conference paper

An approximate least-square Monte-Carlo algorithm for solving the multi-period continuous network design problem

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

Publication Date

January 1, 2018

Author(s)

Ke Wang, Jean-Daniel Saphores

Abstract

This paper proposes a new algorithm to solve the Multi-period Continuous Network Design Problem (MPCNDP) in a real options framework. The MPCNDP aims to find the long-term optimal highway expansion plan for a road network with stochastic demand. Analytical methods, finite difference methods or Least Square Monte Carlo simulation (LSMC) are not applicable for solving the MPCNDP because of the high dimension of the stochastic demand variables and the complexity of the intrinsic complexity of the network design problem. The authors propose an algorithm, which they call â??Approximate Least Square Monte Carlo simulationâ?? (ALSMC). This algorithm applies least square regression to estimate the value of the termination payoff function without knowing the optimal capacity improvement plan. During each iteration, only a multi-period CNDP with deterministic demand needs to be solved, which dramatically reduces the computing time of each termination payoff function. The authors first test the ALSMC method on a simple example for which the exact solution is known, and show that it converges quickly to the solution. They then test the ALSMC method on a small network with 6 centroids and 16 links, which has been used as a benchmark in dozens of papers. The authors find that the ALSMC method gives quick and reasonably accurate estimates of the termination payoff function.

Suggested Citation

Ke Wang and Jean-Daniel M. Saphores (2018) “An approximate least-square Monte-Carlo algorithm for solving the multi-period continuous network design problem”, in Proceedings of the 97th annual meeting of the transportation research board, p. 18p.

published journal article

Arterial bus lane warrants

Australian Road Research

Publication Date

January 1, 1978

Author(s)

Stephen Ritchie

Suggested Citation

S.G. Ritchie (1978) “Arterial bus lane warrants”, Australian Road Research, 8(4), pp. 63–67.

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

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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.