conference paper

No one in the middle. Enabling Network Access Control Via Transparent Attribution

Proceedings of the 2018 on asia conference on computer and communications security - ASIACCS '18

Publication Date

January 1, 2018

Author(s)

Jeremy Erickson, Qi Alfred Chen, Xiaochen Yu, Erinjen Lin, Robert Levy, Z. Morley Mao
Suggested Citation
Jeremy Erickson, Qi Alfred Chen, Xiaochen Yu, Erinjen Lin, Robert Levy and Z. Morley Mao (2018) “No one in the middle. Enabling Network Access Control Via Transparent Attribution”, in Proceedings of the 2018 on asia conference on computer and communications security - ASIACCS '18. ACM Press, pp. 651–658. Available at: 10.1145/3196494.3196498.

published journal article

Preprocessor feature extractor and postprocessor probabilistic output interpreter for improved freeway incident detection

Transportation Research Record

Publication Date

January 1, 1999
Suggested Citation
Baher Abdulhai and Stephen G. Ritchie (1999) “Preprocessor feature extractor and postprocessor probabilistic output interpreter for improved freeway incident detection”, Transportation Research Record, 1678(1), pp. 277–286. Available at: 10.3141/1678-33.

research report

Knowledge-based approach to improve urban transportation decision-making

Publication Date

January 1, 1987
Suggested Citation
Stephen G. Ritchie and C. Yeh (1987) Knowledge-based approach to improve urban transportation decision-making. Institute of Transportation Studies, Irvine, pp. 343–354.

conference paper

Fast converging global heuristic for continuous network design problem using radial basis functions

Proceedings of the 89th annual meeting of the transportation research board, washington, DC

Publication Date

January 1, 2010
Suggested Citation
J.Y.J. Chow, A.C. Regan and D.I. Arkhipov (2010) “Fast converging global heuristic for continuous network design problem using radial basis functions”, in Proceedings of the 89th annual meeting of the transportation research board, washington, DC.

published journal article

Factors influencing destination choice for the urban grocery shopping trip

Transportation

Publication Date

March 1, 1978

Author(s)

Will Recker, Lidia P. Kostyniuk
Suggested Citation
Wilfred W. Recker and Lidia P. Kostyniuk (1978) “Factors influencing destination choice for the urban grocery shopping trip”, Transportation, 7(1), pp. 19–33. Available at: 10.1007/bf00148369.

MS Thesis

Unifiable multi-commodity kinematic wave model for traffic systems with tradable right of way

Publication Date

January 1, 2020

Author(s)

Abstract

With the emergence of connected vehicle technologies, many interesting applications become possible. We look at one such application that allows trac system users with heterogeneous values of time (VOT) to trade their right of way (ROW) among other users so as to minimize individuals’ total travel costs, which includes time cost and nancial transaction. Our proposed system allows users on a multi-lane road to trade their ROWs, and the resulting traffic flow violates the First-In-First-Out (FIFO) principle, since vehicles with higher VOTs would travel faster by paying those with lower VOTs. A novel multi-commodity kinematic wave model is developed for such a system based on the assumptions of choice, uniability, prices, budget-balance, utility maximization, referred to as A1 through A5. From these assumptions, we study a simple case of such a system in which two groups of users with different VOTs participate in the scheme, and a third group does not participate. We derive a uniable fundamental diagram in which the relative speed ratios of different commodities are constant and proportional to the square root of the VOTs. We show that the scheme is Pareto-improving at the system optimal solution. The Riemann Problem is solved both analytically and numerically for this system, and we demonstrate that different commodities (user groups) would react differently to shockwaves and rarefaction waves. The study is concluded with future extensions.

Suggested Citation
Pratiik, Malik (2020) Unifiable multi-commodity kinematic wave model for traffic systems with tradable right of way. MS Thesis. University of California, Irvine,. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991035236904704701.

published journal article

Carpooling: Who, how and why

Transportation Research Part A: General

Publication Date

May 1, 1987

Author(s)

Suggested Citation
Roger F. Teal (1987) “Carpooling: Who, how and why”, Transportation Research Part A: General, 21(3), pp. 203–214. Available at: 10.1016/0191-2607(87)90014-8.

research report

Non-Myopic Path-Finding for Shared-Ride Vehicles: A Bi-Criteria Best-Path Approach Considering Travel Time and Proximity To Demand

Publication Date

March 30, 2021

Report Number

PSR-19-31

Abstract

The goal of this research project is to improve the operational efficiency of shared-ride mobility-on-demand services (SRMoDS). SRMoDS ranging from UberPool to micro-transit have the potential to provide travelers mobility benefits that are comparable to existing ride-hailing services without shared rides such as UberX, but at a lower cost and with fewer harmful externalities. To meet the project’s goal, this study proposes a bi-criteria network pathfinding approach that considers proximity to potential future traveler requests in addition to travel time. This pathfinding approach was built on top of a state-of-the-art dynamic vehicle routing and matching modules. The study tests the proposed pathfinding approach using the network of the City of Anaheim. The results indicate that the proposed bi-criteria pathfinding can potentially reduce both traveler waiting and in-vehicle travel time; however, the effectiveness depends on several factors. Important factors include the relative supply-demand imbalance as well as several hyperparameters in the optimization-based control policy. Moreover, the results indicate that the bi-criteria policy is only advisable when the SRMoDS vehicle has one or fewer in-vehicle passengers. Although the operational benefits found in this study are relatively small, future research efforts related to tuning hyperparameters should allow bi-criteria pathfinding to significantly improve SRMoDS.

Suggested Citation
Michael Hyland, Dingtong Yang and Navjyoth Sarma (2021) Non-Myopic Path-Finding for Shared-Ride Vehicles: A Bi-Criteria Best-Path Approach Considering Travel Time and Proximity To Demand. PSR-19-31. Available at: https://rosap.ntl.bts.gov/view/dot/58489 (Accessed: October 11, 2023).