MS Thesis

Analysis of High-Occupancy-Toll Lane Operation / by Xuting Wang.

Publication Date

January 1, 2016

Author(s)

Abstract

In this thesis, we propose one approach to determine the real-time tolling strategy for high occupancy toll (HOT) lane, and calibrate driver’s value of time(VOT) as well. There are two goals of operating HOT lane, one is to maximize the freeway’s, and another one is to maintain the free flow speed. We use queue length to track the trac dynamics, and the point queue model is used. And with the application of a proportional-integral-derivative(PID) controller, we can calculate the pricing rate for HOT lane and calibrate driver’s (VOT). Simulation results and comparison with previous studies are provided.

Suggested Citation
Xuting Wang (2016) Analysis of High-Occupancy-Toll Lane Operation / by Xuting Wang.. MS Thesis. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991023240719704701.

published journal article

The optimization of DC fast charging deployment in California

Applied Energy

Publication Date

November 1, 2015

Abstract

Battery electric vehicles (BEVs) are important for reducing fuel consumption and vehicle operating cost, and have the potential to reduce GHG and pollutant emissions. However, the range limits and long recharging times serve as obstacles to mass deployment. Well planned Level 3 DC fast charging stations are a potential solution to satisfy long distance travel demand instead of an expansive Level 2 non-home charging infrastructure. This paper identifies candidate charging routes and uses freeway exits and highway intersections as approximate candidate charging locations, and consequently solves a set covering problem to minimize the number of charging stations. Results show that 290 Level 3 charging locations are required for the State of California based on the 2000 California Travel Survey and BEVs with 60 mile range. With this optimized station network, electric light duty vehicle miles travelled (VMT) can reach 92% and BEVs can be used by 98% of drivers. If BEVs with 100 or 200 mile range are used, 126 or 31 Level 3 charging locations are required, respectively. This study also assesses the temporal utilization of charging stations. Congestion at several stations suggests extra chargers are required. A reservation system can benefit both the BEV drivers and station operators by reducing the wait times, decreasing the extra chargers needed, and more evenly utilizing all the stations. Related policies are also discussed to better deploy fast charging stations. (C) 2015 Elsevier Ltd. All rights reserved.

Suggested Citation
Li Zhang, Brendan Shaffer, Tim Brown and G. Scott Samuelsen (2015) “The optimization of DC fast charging deployment in California”, Applied Energy, 157, pp. 111–122. Available at: 10.1016/j.apenergy.2015.07.057.

conference paper

Real option pricing of continuous network design investments

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

Publication Date

January 1, 2009

Abstract

A real option analytical framework for investments made in a network is considered as a method for addressing managerial flexibility in transportation planning. The core of the framework is a hierarchical Bellman equation with continuous network design investment allocation and user-optimal route choice in each recursion. A continuous network investment deferment framework is formulated with stochastic OD flows evolving as discretized geometric Brownian motions. A numerical approach based on Least Squares Monte Carlo simulation and an Iterative Optimization Assignment heuristic is considered. The option premium is shown to decompose into a basic deferment premium and a flexible network design premium. Additionally, the basic deferment premium for a network setting can be further broken down into a set of link deferment premiums plus a non-positive synergy effect premium. The proposed framework is tested on the classic Sioux Falls, SD network.

Suggested Citation
Joseph Y.J. Chow and Amelia Regan (2009) “Real option pricing of continuous network design investments”, in Proceedings of the 88th annual meeting of the transportation research board, p. 18p.

published journal article

Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis

Transportation Research Part A: Policy and Practice

Publication Date

May 1, 2022

Author(s)

Abstract

The ongoing COVID-19 pandemic has created significant public health concerns that led the public and private sectors to impose stay-at-home and work-from-home policies. Although working from home has been a conventional albeit infrequent behavior, the prevalence of this option was significantly and rapidly accelerated during the pandemic. This study explored the impacts of working from home on activity-travel behavior during the pandemic. Both work and non-work activity participation declined during the pandemic but to what extent was this due to working from home? How did working from home affect other measures of travel such as person-miles traveled? We approached these questions by developing a Structural Regression model and using cross-sectional data for the early phase of the pandemic when the infection curve was flattened and activity-travel behavior became relatively stable following the drastic changes observed during the pandemic’s initial shock. Combining U.S. county-level data from the Maryland Transportation Institute and Google Mobility Reports, we concluded that the proportion of people working from home directly depended on pandemic severity and associated public health policies as well as on a range of socio-economic characteristics. Working from home contributed to a reduction in workplace visits. It also reduced non-work activities but only via a reduction in non-work activities linked to work. Finally, a higher working from home proportion in a county corresponded to a reduction in average person-miles traveled. A higher degree of state government responses to containment and closure policies contributed to an increase in working from home, and decreases in workplace and non-workplace visits and person-miles traveled in a county. The results of this study provide important insights into changes in activity-travel behavior associated with working from home as a response strategy to major disruptions such as those imposed by a pandemic.

Suggested Citation
Rezwana Rafiq, Michael G. McNally, Yusuf Sarwar Uddin and Tanjeeb Ahmed (2022) “Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis”, Transportation Research Part A: Policy and Practice, 159, pp. 35–54. Available at: 10.1016/j.tra.2022.03.003.

published journal article

Energy management-as-a-service over fog computing platform

IEEE Internet of Things Journal

Publication Date

April 1, 2016

Author(s)

Mohammad Al Faruque, Korosh Vatanparvar
Suggested Citation
Mohammad Abdullah Al Faruque and Korosh Vatanparvar (2016) “Energy management-as-a-service over fog computing platform”, IEEE Internet of Things Journal, 3(2), pp. 161–169. Available at: 10.1109/jiot.2015.2471260.

conference paper

A local feedback controller for oversaturated intersection control based on dynamic road traffic models

Pacific rim TransTech conference. 1995 vehicle navigation and information systems conference proceedings. 6th international VNIS. A ride into the future

Publication Date

January 1, 1995
Suggested Citation
Wann-Ming Wey, R. Jayakrishnan and M.G. McNally (1995) “A local feedback controller for oversaturated intersection control based on dynamic road traffic models”, in Pacific rim TransTech conference. 1995 vehicle navigation and information systems conference proceedings. 6th international VNIS. A ride into the future. IEEE, pp. 172–178. Available at: 10.1109/vnis.1995.518835.

published journal article

Designing and managing the supply chain: Concepts, strategies, and case studies

TRANSPORTATION SCIENCE

Publication Date

January 1, 2002

Author(s)

Suggested Citation
A Regan (2002) “Designing and managing the supply chain: Concepts, strategies, and case studies”, TRANSPORTATION SCIENCE, 36(3), p. 354. Available at: 10.1287/trsc.36.3.354.7825.

conference paper

Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving

2024 IEEE International Conference on Smart Computing (SMARTCOMP)

Publication Date

June 1, 2024

Author(s)

Eugen Šlapak, Matúš Dopiriak, Mohammad Al Faruque, Juraj Gazda, Marco Levorato

Abstract

The metaverse is a virtual space that combines physical and digital elements, creating immersive and connected digital worlds. For autonomous mobility, it enables new possibilities with edge computing and digital twins (DTs) that offer virtual prototyping, prediction, and more. DTs can be created with 3D scene reconstruction methods that capture the real world’s geometry, appearance, and dynamics. However, sending data for real-time DT updates in the metaverse, such as camera images and videos from connected autonomous vehicles (CAVs) to edge servers, can increase network congestion, costs, and latency, affecting metaverse services. Herein, a new method is proposed based on distributed radiance fields (RFs), multi-access edge computing (MEC) network for video compression and metaverse DT updates. RF-based encoder and decoder are used to create and restore representations of camera images. The method is evaluated on a dataset of camera images from the CARLA simulator. Data savings of up to 80% were achieved for H.264 I-frame – P-frame pairs by using RFs instead of I-frames, while maintaining high peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) qualitative metrics for the reconstructed images. Possible uses and challenges for the metaverse and autonomous mobility are also discussed.

Suggested Citation
Eugen Šlapak, Matúš Dopiriak, Mohammad Abdullah Al Faruque, Juraj Gazda and Marco Levorato (2024) “Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving”, in 2024 IEEE International Conference on Smart Computing (SMARTCOMP). 2024 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 71–76. Available at: 10.1109/SMARTCOMP61445.2024.00031.

published journal article

The Becker-DeGroot-Marschak mechanism and generalized utility theories: Theoretical predictions and empirical observations

Theory and Decision

Publication Date

March 1, 1993

Author(s)

Robin Keller, Uzi Segal, Tan Wang

Abstract

Karni and Safra [8] prove that the Becker-DeGroot-Marschak mechanism reveals a decision maker’s true certainty equivalent of a lottery if and only if he satisfies the independence axiom. Segal [17] claims that this mechanism may reveal a violation of the reduction of compound lotteries axiom. This paper empirically tests these two interpretations. Our results show that the second interpretation fits better with the collected data. Moreover, we show by means of some nonexpected utility examples that these results are consistent with a wide range of functionals.

Suggested Citation
L. Robin Keller, Uzi Segal and Tan Wang (1993) “The Becker-DeGroot-Marschak mechanism and generalized utility theories: Theoretical predictions and empirical observations”, Theory and Decision, 34(2), pp. 83–97. Available at: 10.1007/bf01074895.