Phd Dissertation
Archives: Research Products
published journal article
Recent progress on endogeneity in choice modeling
Marketing Letters
Publication Date
Author(s)
Suggested Citation
Jordan Louviere, Kenneth Train, Moshe Ben-Akiva, Chandra Bhat, David Brownstone, Trudy Ann Cameron, Richard T. Carson, J.R. Deshazo, Denzil Fiebig, William Greene, David Hensher and Donald Waldman (2005) “Recent progress on endogeneity in choice modeling”, Marketing Letters, 16(3-4), pp. 255–265. Available at: 10.1007/s11002-005-5890-4.published journal article
A multi-agent architecture for cooperative inter-jurisdictional traffic congestion management
Transportation Research Part C: Emerging Technologies
Publication Date
Author(s)
Suggested Citation
Filippo Logi and Stephen G Ritchie (2002) “A multi-agent architecture for cooperative inter-jurisdictional traffic congestion management”, Transportation Research Part C: Emerging Technologies, 10(5-6), pp. 507–527. Available at: 10.1016/s0968-090x(02)00033-5.conference paper
Assessment of differential carrier phase measurements from orbcomm LEO satellite signals for opportunistic navigation
Proceedings of the 32nd international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2019)
Publication Date
Author(s)
Suggested Citation
Joe Khalife and Zaher M. Kassas (2019) “Assessment of differential carrier phase measurements from orbcomm LEO satellite signals for opportunistic navigation”, in Proceedings of the 32nd international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2019). Institute of Navigation, pp. 4053–4063. Available at: 10.33012/2019.17031.working paper
Lidar Based Reconstruction framework for Truck Surveillance
Publication Date
Associated Project
Author(s)
Abstract
Monitoring Commerical Vehicle Activities is very important for developing and maintaining efficient freight transport systems. In the existing Literature this is broadly done through vehicle classification and reidentification problems using various sensing technologies. Lidar is an emerging traffic sensing technology which could potentially serve as a multi functional sensor for transport systems. In out current work we mainly focused on developing and qualitatively assessing a Lidar based Reconstruction framework for Truck surveillance purpose. We proposed a two stage Truck body reconstruction framework and found the results of reconstructed Truck bodies are quite promising for several truck-trailer configurations. For certain types of Truck-Trialer configurations such as containers due to the sparsity of scanned points in lateral direction, the wheel portion of reconstructed body still has noticeable deformations. We would like to address the same in our future work.
published journal article
Anonymous vehicle tracking for real-time traffic surveillance and performance on signalized arterials
Transportation Research Record
Publication Date
Author(s)
Suggested Citation
Cheol Oh and Stephen G. Ritchie (2003) “Anonymous vehicle tracking for real-time traffic surveillance and performance on signalized arterials”, Transportation Research Record, 1826(1), pp. 37–44. Available at: 10.3141/1826-06.conference paper
Exploring the role of ride-hailing in trip chains
Proceedings of the 3rd annual irvine symposium for emerging research in transportation (ISERT 2020)
Publication Date
Author(s)
Suggested Citation
Tanjeeb Ahmed (2020) “Exploring the role of ride-hailing in trip chains”, in Proceedings of the 3rd annual irvine symposium for emerging research in transportation (ISERT 2020).conference paper
Carless in car heaven: A comparison of German and Californian households
Proceedings of the 97th annual meeting of the transportation research board
Publication Date
Associated Project
Author(s)
Areas of Expertise
Abstract
One approach to making transportation more sustainable is to transition away from a car-oriented society. Unfortunately, the understanding of the factors that prompt households to voluntarily forgo their motor vehicles is limited. The 2008 Mobility in Germany (MiD) and the 2012 California Household Travel Survey (CHTS) provide an opportunity to start filling this gap. The authors estimate Generalized Structural Equation Models (GSEM) to tease out what built environment and socio-economic variables impact the likelihood that a household is carless (voluntarily or not) in Germany and in California. The results show that in both Germany and California, households who reside in denser neighborhoods, closer to transit stations, who have a lower income or fewer children, are more likely to be voluntarily carless than to be motorized. However, households with more education are more likely to be voluntarily carless in Germany, whereas the reverse is true in California. Moreover, employment density and public transit have a higher impact on voluntary carlessness in Germany than in California. The results also show that different socio-economic groups have substantially different residential location preferences in Germany and in California. These differences may be explained by cultural preferences, historical differences in land use and transportation policies, and by the higher cost of owning a motor vehicle in Germany.
Suggested Citation
Kathrin Kuehne, Suman K. Mitra and Jean-Daniel M. Saphores (2018) “Carless in car heaven: A comparison of German and Californian households”, in Proceedings of the 97th annual meeting of the transportation research board, p. 18p.conference paper
Electrification of Off-Road Construction Vehicles: A Comparative Economic Analysis of Electric and Diesel Machinery
Proceedings, 104th Annual Meeting of the Transportation Research Board
Publication Date
Author(s)
Abstract
phores, University of California, Irvine This paper evaluates the economic viability of transitioning from diesel to selected off-road electric construction vehicles through a Total Cost of Ownership (TCO) analysis coupled with a Monte Carlo analysis. As global climate change intensifies, the shift toward electric vehicles is crucial for reducing greenhouse gas emissions, particularly in the construction sector, which comprises approximately 1.1% of global annual CO2 emissions. Electrifying off-road construction vehicles would also reduce PM2.5 and noise pollution but face challenges such as high acquisition costs and complex refueling logistics. Our analysis covers 20 models of wheel loaders and excavators, comparing electric equipment with their diesel counterparts. Projections for 2035, aligned with California’s executive order to significantly reduce emissions by that year, indicate that anticipated reductions in battery prices alone will not make the TCO of electric wheel loaders and excavators competitive with their diesel equivalents. This highlights the need for government incentives to facilitate this transition. This study contributes to the literature by providing an economic rationale for adopting off-road electric equipment in the construction sector and should be of interest to regulating agencies, rental firms, and construction companies.
Suggested Citation
Shakib Kafashan and Jean-Daniel Saphores (2025) “Electrification of Off-Road Construction Vehicles: A Comparative Economic Analysis of Electric and Diesel Machinery”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington D.C..published journal article
Uncovering the contribution of travel time reliability to dynamic route choice using real-time loop data
Transportation Research Part A: Policy and Practice
Publication Date
Author(s)
Abstract
Travel time reliability has generally been surmised to be an important attribute of transportation systems. In this paper, we study the contribution of travel time reliability in travelers’ route choice decisions. Traveler’s route choice is formulated as a mixed-logit model, with the coefficients in the model representing individual traveler’s preferences or tastes towards travel time, reliability and cost. Unlike the traditional approach involving the use of traveler surveys to estimate model coefficients and thereby uncover the contribution of travel time reliability, we instead apply the methodology to real-time loop detector data, and use genetic algorithm to identify the parameter set that results in the best match between the aggregated results from traveler’s route choice model and the observed time-dependent traffic volume data from loop detectors. Based on freeway loop data from California State Route 91, we find that the estimated median value of travel-time reliability is significantly higher than that of travel-time, and that the estimated median value of degree of risk aversion indicates that travelers value a reduction in travel time variability more highly than a corresponding reduction in the travel time for that journey. Moreover, travelers’ attitudes towards congestion are not homogeneous; substantial heterogeneity exists in travelers’ preference of travel time and reliability. Our results validate results from previous studies involving the California State Route 91 value-pricing project that were based on traditional traveler surveys and demonstrate the applicability of the approach in travelers’ behavioral studies. (C) 2004 Elsevier Ltd. All rights reserved.