published journal article

An Agent-based Cooperative Lane-Changing System with Payments

Procedia Computer Science

Abstract

Traffic advisories to travelers are based upon traffic state information at the link level. However, with the advances in automotive technology, sensing equipment, and the Internet of Things (IoT), we can leverage more granular information. Research shows that faster and more accurate travel paths can be obtained by using lane data rather than link data. For vehicles to be able to change lanes to improve their travel times, operationally, they would need to enter into Peer-to-Peer negotiations with surrounding vehicles, where they can trade their position in time and space in exchange for monetary benefits. Our work is an exploration of this idea. We propose an agent-based optimization framework for this system, which minimizes both travel time and the “envy” induced among drivers when they are assigned paths that are inferior to their peers. Numerical results from running our optimization on an illustrative off-ramp network show that the proposed model converges to both envy-free and system optimum traffic states, even at a net zero budget, meaning this system can be used by transportation agencies without exacting tolls or giving subsidies.

Suggested Citation
Riju Lavanya, Daisk Nam and R. Jayakrishnan (2024) “An Agent-based Cooperative Lane-Changing System with Payments”, Procedia Computer Science, 238, pp. 785–790. Available at: 10.1016/j.procs.2024.06.092.

published journal article

Improved path flow estimator for Origin–Destination trip tables

Transportation Research Record

Publication Date

January 1, 2005

Author(s)

Piya Chootinan, Anthony Chen, Will Recker
Suggested Citation
Piya Chootinan, Anthony Chen and Will Recker (2005) “Improved path flow estimator for Origin–Destination trip tables”, Transportation Research Record, 1923(1), pp. 9–17. Available at: 10.1177/0361198105192300102.

conference paper

Discovering fine-grained RRC state dynamics and performance impacts in cellular networks

Proceedings of the 20th annual international conference on Mobile computing and networking - MobiCom '14

Publication Date

January 1, 2014

Author(s)

Sanae Rosen, Haokun Luo, Qi Alfred Chen, Z. Morley Mao, Jie Hui, Aaron Drake, Kevin Lau
Suggested Citation
Sanae Rosen, Haokun Luo, Qi Alfred Chen, Z. Morley Mao, Jie Hui, Aaron Drake and Kevin Lau (2014) “Discovering fine-grained RRC state dynamics and performance impacts in cellular networks”, in Proceedings of the 20th annual international conference on Mobile computing and networking - MobiCom '14. ACM Press, pp. 177–188. Available at: 10.1145/2639108.2639115.

conference paper

Detecting changes in accident rates using a hierarchical Bayesian approach: An application to the I-710 and the implementation of the PierPASS program

Proceedings of the 96th annual meeting of the transportation research board

Publication Date

January 1, 2017

Abstract

Road accidents involving heavy duty trucks have long been of concern but detecting the impact on accidents of various policies is typically challenging. The objective of this study is to understand if there was a change in accident rates on a busy freight corridor (the I-710 freeway in Los Angeles County, California) connecting the Ports of Los Angeles and Long Beach to nearby intermodal rail, trans-loading facilities, and warehouses after the implementation of the PierPASS program on July 23, 2005. The authors analyzed 2,043 accidents that occurred in 2005 on the I-710 freeway; approximately 27.8 percent of these accidents involved trucks. The authors estimated a three stage hierarchical Bayesian change point model with MCMC developed by Carlin et al. (1992) to evaluate whether the implementation of the PierPASS program resulted in a change of accident rates on the I-710. After successfully verifying and validating the authors’ model on the dataset used by Carlin et al. (1992), and Raftery and Akman (1986), the authors analyzed road accidents on the I-710 for 2005 filtered by four (approximately 6 mile) segments and four time periods corresponding to different traffic regimes. The authors generated the probability distribution of the difference between accident rate parameters and built 95% High Density Intervals. Results indicate that there was no significant change in accident rate in 2005 following the implementation of PierPASS. To the authors’ knowledge, this is the first time that a three stage hierarchical Bayesian change point model with MCMC was applied to a transportation problem.

Suggested Citation
Ankoor Bhagat, Jean-Daniel Saphores and R. Jayakrishnan (2017) “Detecting changes in accident rates using a hierarchical Bayesian approach: An application to the I-710 and the implementation of the PierPASS program”, in Proceedings of the 96th annual meeting of the transportation research board, p. 18p.

published journal article

A dynamic traffic assignment model with traffic-flow relationships

Transportation Research Part C: Emerging Technologies

Abstract

Conventional traffic assignment methods assume that the origin-destination (OD) demand is uniformly distributed over time to estimate the traffic pattern. This assumption does not hold for modeling peak periods of congestion in which the OD demand is time varying. In this paper, we present a dynamic traffic assignment model with traffic-flow relationships based on a bi-level optimization framework. Our assignment variable is the number of vehicles present on a link during a time step, rather than traffic flow, which is used in static assignment. Using the modified Greenshields speed-density relationship, we derive a link-cost function that is monotonically nondecreasing and convex with respect to density. To capture traffic dynamics, we use short time-steps. The model prevents violations of the first-in-first-out (FIFO) condition using constraints on the distances moved by vehicles during each time step. A solution algorithm which resembles a Stackelberg leader-follower problem is presented, and numerical results from networks of different sizes demonstrate that the proposed model performs satisfactorily.

Suggested Citation
R. Jayakrishnan, Wei K. Tsai and Anthony Chen (1995) “A dynamic traffic assignment model with traffic-flow relationships”, Transportation Research Part C: Emerging Technologies, 3(1), pp. 51–72. Available at: 10.1016/0968-090X(94)00015-W.

conference paper

Tour behavior of clean drayage trucks in southern California

Proceedings of the 91st annual meeting of the transportation research board

Publication Date

January 1, 2012

Abstract

In recent years a Clean Trucks Program (CTP) has been enacted at California’s San Pedro Bay Ports (SPBP) of Long Beach and Los Angeles, to help address major environmental issues associated with port operations. “Clean trucks” (meeting 2007 model year emission standards) that utilized public funds to replace older, polluting drayage trucks were required to be fitted with GPS units for compliance monitoring. In late 2010, 94% of cargo moves at SPBP were reportedly made by clean trucks. The study reported in this paper is based on a year of such GPS data for a sample that in December, 2010 comprised 545 clean drayage trucks. Drayage trucks carry port cargo (mostly containers) to and from the ports and intermodal rail and transloading facilities (drayage trucks have at least one trip end on port or intermodal rail facility property). An analytical framework is introduced for processing the GPS data from these trucks to both interpret the trip chaining or tour behavior of clean drayage trucks, and to prepare sufficient tour data for clean truck modeling at the SPBP. It is found that SPBP clean trucks make an average of 3.1-3.9 stops per tour, depending on the open or closed nature of the tour, fuel type and monthly cargo type. Furthermore, newer diesel trucks tend to travel further and longer than liquefied natural gas (LNG) trucks, and monthly cargo volume changes have an effect on clean truck tour behaviors. An important finding is that clean trucks at the SPBP rely on daily-based operations and one day of travel behavior is not necessarily representative of any other day. These insights into clean truck behavior at the SPBP potentially provide more accurate depictions of current conditions and better projections of future conditions for freight related improvement plans and models.

Suggested Citation
Soyoung Iris You and Stephen G. Ritchie (2012) “Tour behavior of clean drayage trucks in southern California”, in Proceedings of the 91st annual meeting of the transportation research board, p. 18p.

conference paper

Dynamic thermal management in 3D multi-core architecture through run-time adaptation

2011 design, automation & test in europe

Publication Date

March 1, 2011

Author(s)

F Hameed, Mohammad Al Faruque, J Henkel
Suggested Citation
F Hameed, M A A Faruque and J Henkel (2011) “Dynamic thermal management in 3D multi-core architecture through run-time adaptation”, in 2011 design, automation & test in europe. IEEE, pp. 299–304. Available at: 10.1109/date.2011.5763053.

published journal article

Fragmented local governance and water resource management outcomes

Journal of Environmental Management

Publication Date

March 1, 2015

Author(s)

Jae Hong Kim, Timothy D. Keane, Eric A. Bernard
Suggested Citation
Jae Hong Kim, Timothy D. Keane and Eric A. Bernard (2015) “Fragmented local governance and water resource management outcomes”, Journal of Environmental Management, 150, pp. 378–386. Available at: 10.1016/j.jenvman.2014.12.002.

conference paper

Integrity monitoring of LTE signals of opportunity-based navigation for autonomous ground vehicles

Proceedings of the 31st international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2018)

Publication Date

October 1, 2018

Author(s)

Mahdi Maaref, Joe Khalife, Zaher Kassas
Suggested Citation
Mahdi Maaref, Joe Khalife and Zak M. Kassas (2018) “Integrity monitoring of LTE signals of opportunity-based navigation for autonomous ground vehicles”, in Proceedings of the 31st international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2018). Institute of Navigation, pp. 2456–2466. Available at: 10.33012/2018.16093.