published journal article
Simultaneous-equation systems involving binary choice variables
Geographical Analysis
Publication Date
September 1, 2010
Area of Expertise: Unspecified
published journal article
Real-time network-wide traffic signal optimization considering long-term green ratios based on expected route flows
Transportation Research Part C: Emerging Technologies
Publication Date
November 1, 2015
Author(s)
Abstract
The authors propose a novel real-time network-wide traffic signal control scheme which is (1) applicable under modern data technologies, (2) flexible in response to variations of traffic flows due to its non-cyclic feature, (3) operable on a network-wide and real-time basis, and (4) capable of considering expected route flows in the form of long-term green time ratios for intersection movement. The proposed system has a two-level hierarchical architecture: (1) strategy level and (2) control level. Considering the optimal states for a long-term period found in the strategy level, the optimal signal timings for a short-term period are calculated in the control level which consists of two steps: (1) queue weight update and (2) signal optimization. Based on the ratio of the cumulative green time to the desired green time is the first step to update the queue weights, which are then used in the optimization to find signal timings for minimum total delay. A parametric queue weight function is developed, discussed and evaluated. Two numerical experiments were given. The first demonstrated that the proposed system performs effectively, and the second shows its capability in a real-world network.
Suggested Citation
Inchul Yang and R. Jayakrishnan (2015) “Real-time network-wide traffic signal optimization considering long-term green ratios based on expected route flows”, Transportation Research Part C: Emerging Technologies, 60, pp. 241–257. Available at: 10.1016/j.trc.2015.09.003. published journal article
Avoiding the risk of responsibility by seeking uncertainty: Responsibility aversion and preference for indirect agency when choosing for others
Journal of Consumer Psychology
Publication Date
October 1, 2011
Author(s)
James M. Leonhardt, Robin Keller, Cornelia Pechmann
Suggested Citation
James M. Leonhardt, L. Robin Keller and Cornelia Pechmann (2011) “Avoiding the risk of responsibility by seeking uncertainty: Responsibility aversion and preference for indirect agency when choosing for others”, Journal of Consumer Psychology, 21(4), pp. 405–413. Available at: 10.1016/j.jcps.2011.01.001. published journal article
A study of tour formation: pre-, during, and post-recession analysis
Transportation
Publication Date
October 1, 2021
Author(s)
Abstract
This study examines changes in activity-travel patterns of employed people during a recession by using a tour-based representation of the activity-based approach. The term tour is defined as a sequence of trips and activities that begins and ends at home and contains at least one non-home activity. Tours are classified based on the presence of work and/or non-work activities. We are interested in investigating how a recession can affect an individual’s tour choices. We developed a rigorous methodological framework by using multi-group structural equation modeling (SEM) to analyze changes in tour choice. In particular, we developed a causal structure conceptualsizing the interrelationships among socio-demographic and economic characteristics, activity-travel participation, and the choice of various work and non-work tours. Using data from the American Time Use Survey (ATUS), the study found that activity-travel relationships and their role in tour choice differed in the recession year (2009) compared to pre- and post-recession years (2009 and 2012, respectively). By analyzing temporal changes in causal structure, we identified four sub-trend groups defined by: (1) norms that did not change in pre-, during, and post-recession years, (2) norms that changed during the recession but returned to the old norm, (3) norms that changed during the recession and were maintained as new norm, and finally (4) 2006 norms that did not change during the 2009 recession but changed after the recession. Via analysis of multiple group SEM, we identified instances of each of these cases and provided potential rationales in the context of how a recession can influence norms and thus can affect activity-travel behavior.
Suggested Citation
Rezwana Rafiq and Michael G. McNally (2021) “A study of tour formation: pre-, during, and post-recession analysis”, Transportation, 48(5), pp. 2187–2233. Available at: 10.1007/s11116-020-10126-8.
conference paper
GAN-Sec: Generative adversarial network modeling for the security analysis of cyber-physical production systems
2019 design, automation & test in europe conference & exhibition (DATE)
Publication Date
March 1, 2019
Author(s)
Sujit Rokka Chhetri, Anthony Bahadir Lopez, Jiang Wan, Mohammad Al Faruque
Suggested Citation
Sujit Rokka Chhetri, Anthony Bahadir Lopez, Jiang Wan and Mohammad Abdullah Al Faruque (2019) “GAN-Sec: Generative adversarial network modeling for the security analysis of cyber-physical production systems”, in 2019 design, automation & test in europe conference & exhibition (DATE). IEEE, pp. 770–775. Available at: 10.23919/date.2019.8715283. conference paper
A lane changing cell transmission model for modeling capacity drop at lane drop bottlenecks
Proceedings of the 95th annual meeting of the transportation research board
Publication Date
January 1, 2016
Author(s)
Abstract
Over the years the capacity drop phenomenon at freeway bottlenecks has remained a topic of interest and intrigue. Capacity drop has an undeniable impact on freeway performances, directly affecting the throughput. Various studies have tried to measure, predict, and model capacity drop. In this paper, the authors integrate a simplistic lane changing model and an acceleration model together into the Cell Transmission Model framework. The capacity drop is modeled as a combined effect of a lane changing area upstream of the bottleneck location and an acceleration region downstream. Each lane changing vehicle is considered to contribute towards density on two lanes during the lane changing maneuver as it effects the following vehicles on both the original and target lanes. This effect is modeled through the introduction of a â??perceived densityâ?? variable. This perceived density is obtained by scaling the actual density up by the lane-changing intensity, and is used to determine the demand at the bottleneck. A demand function linearly decreasing in density under over-saturated conditions is used to model the acceleration process of vehicles as they discharge from the bottleneck. It is shown that the capacity drop can then be predicted from calibrated demand-supply functions and lane changing intensity.
Suggested Citation
Anupam Srivastava and Wenlong Jin (2016) “A lane changing cell transmission model for modeling capacity drop at lane drop bottlenecks”, in Proceedings of the 95th annual meeting of the transportation research board, p. 17p. conference paper
US household preferences for alternative-fuel vehicles: Results from a national survey
Proceedings of the 91st annual meeting of the transportation research board
Publication Date
January 1, 2012
Author(s)
Abstract
This paper analyzes responses to a 2010 national survey of 835 US households to explore consumer preferences among five types of vehicles that differ in propulsion technology (gasoline, hybrid electric (HEV), compressed natural gas (CNG), hydrogen fuel cell (HFC), and electric (EV)), vehicle cost, fuel cost, fuel availability, vehicle range, and CO2 emissions during operation. Although gasoline-fueled vehicles are still preferred, there was strong interest in alternatives to gasoline vehicles, and especially in HEVs, while EVs are least popular. The authors estimated a panel rank-ordered mixed logit model to understand the impact of vehicle characteristics and of the socio-economic characteristics of respondents on their preferences for alternative fuel technologies. With the exception of CNG, respondents prefer alternative propulsion technology in cars as opposed to pick-up trucks, sport utility vehicles (SUV), or minivans. The region where people live is not statistically significant. Education matters only in the case of HEVs, but gender has no significant impact, and the influence of age is technology specific. It was found that environmental attitudes are strong predictors of AFV support, particularly for HFC vehicles and EVs. In addition, the authors elicited trade-offs people are willing to make between vehicle cost, fuel cost, vehicle range, and refueling time. In spite of consumer interest for alternative-fuel vehicles, environmental benefits still take second place to economic considerations.
Suggested Citation
Jean-Daniel Saphores and Hilary Nixon (2012) “US household preferences for alternative-fuel vehicles: Results from a national survey”, in Proceedings of the 91st annual meeting of the transportation research board, p. 18p. conference paper
Dynamic analyses of complex travel behavior using a sample of the Dutch National Mobility Panel
Proceedings, Round Table Conference on the Analysis of Panel Data
Publication Date
January 1, 1987
Author(s)
Suggested Citation
T. F. Golob and W. W. Recker (1987) “Dynamic analyses of complex travel behavior using a sample of the Dutch National Mobility Panel”, in Proceedings, Round Table Conference on the Analysis of Panel Data. The Hague. published journal article
Editorial objectives - decision-analysis
MANAGEMENT SCIENCE
Publication Date
January 1, 1995
Author(s)
Rt Clemen, Lr Keller
Suggested Citation
Rt Clemen and Lr Keller (1995) “Editorial objectives - decision-analysis”, MANAGEMENT SCIENCE, 41(5), p. U3. conference paper
Marginal congestion cost on a dynamic network with queue spillbacks”
Proceedings of the kuhmo-nectar confer. on transport economics, copenhagen
Publication Date
July 1, 2009
Author(s)
Ken Small, Mogens Fosgerau