conference paper

Towards Driving-Oriented Metric for Lane Detection Models

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Publication Date

January 1, 2022
Suggested Citation
Takami Sato and Qi Alfred Chen (2022) “Towards Driving-Oriented Metric for Lane Detection Models”. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 17153–17162. Available at: https://openaccess.thecvf.com/content/CVPR2022/html/Sato_Towards_Driving-Oriented_Metric_for_Lane_Detection_Models_CVPR_2022_paper.html (Accessed: October 5, 2023).

research report

Development of New Privacy-preserving Method for Traffic Data Collection and Analysis: The Bathtub Model Approach

Publication Date

February 1, 2026

Author(s)

Wenlong Jin, Joseph H. F. Lo

Areas of Expertise

Abstract

Traditional data collection approaches present significant drawbacks in computational costs and limited privacy protection. This research evaluates the bathtub traffic flow model as a privacy-preserving alternative to traditional methods that require detailed network layouts and individual trip data. The study assesses the feasibility of the bathtub model through calibration and validation using Bluebikes data from Metro Boston, focusing on three key components: the unified relative space paradigm, conservation equations, and the generalized bathtub model. Results demonstrate that the unified relative space paradigm successfully integrates network trips by considering remaining trip distances, though the trip distance distribution exhibited a log-normal pattern rather than the time-independent negative exponential distribution in Vickrey’s original bathtub model. Conservation equations for total trips and trip-miles traveled showed high accuracy, and the generalized bathtub model yielded accurate results, particularly for space-mean speed. This novel approach preserves privacy by eliminating the need for origin-destination data while still effectively capturing network dynamics.

working paper

An Empirical Investigation of the Underlying Behavioral Processes of Trip Chaining

Publication Date

August 1, 2002

Working Paper

UCI-ITS-AS-WP-02-6

Areas of Expertise

Abstract

Trip chaining is a phenomenon that has a significant impact on urban transportation and activity systems. This paper argues that an appropriate representation of the underlying behavioral processes in models of trip chaining is crucial to the capability and reliability of the models. To examine the behavioral processes, data on the complete processes of activity scheduling and trip chaining were collected with a computerized survey instrument, REACT!. The scheduling horizons of sojourn activities were analyzed with contingency tables. The results of this analysis indicate that some of the decision elements entailed in trip chaining were opportunistically formed within constraints set by previously planned activities. While engaged in earlier activities, individuals might see opportunities of carrying out certain activities at different locations occurring later in the day. The decisions as to whether to take these opportunities or not would depend on their evaluation of scheduling feasibility (e.g., the travel time required to reach these activities). However, the analysis also illustrates that some trip chains were indeed executed as planned, suggesting optimality and potential routine behavior. Based on the empirical evidence, transactional opportunistic planning within a constrained environment is viewed as a potential behavioral model for trip chaining behavior.

Suggested Citation
Ming-Sheng Lee and Michael G. McNally (2002) An Empirical Investigation of the Underlying Behavioral Processes of Trip Chaining. Working Paper UCI-ITS-AS-WP-02-6. ITS-Irvine. Available at: https://escholarship.org/uc/item/2gt6s9s9.

published journal article

Impacts of highway congestion on freight operations: Perceptions of trucking industry managers

Transportation Research Part A: Policy and Practice

Publication Date

August 1, 2001

Abstract

To better understand how road congestion adversely affects trucking operations, we surveyed approximately 1200 managers of all types of trucking companies operating in California. More than 80% of these managers consider traffic congestion on freeways and surface streets to be either a “somewhat serious” or “critically serious” problem for their business. A structural equations model (SEM) is estimated on these data to determine how five aspects of the congestion problem differ across sectors of the trucking industry. The five aspects were slow average speeds, unreliable travel times, increased driver frustration and morale, higher fuel and maintenance costs, and higher costs of accidents and insurance. The model also simultaneously estimates how these five aspects combine to predict the perceived overall magnitude of the problem. Overall, congestion is perceived to be a more serious problem by managers of trucking companies engaged in intermodal operations, particularly private and for-hire trucking companies serving airports and private companies serving rail terminals. Companies specializing in refrigerated transport also perceive congestion to be a more serious overall problem, as do private companies engaged in LTL operations. The most problematic aspect of congestion is unreliable travel times, followed by driver frustration and morale, then by slow average speeds. Unreliable travel times are a significantly more serious problem for intermodal air operations. Driver frustration and morale attributable to congestion is perceived to be more of a problem by managers of long-haul carriers and tanker operations. Slow average speeds are also more of a concern for airport and refrigerated operations. (C) 2001 Elsevier Science Ltd. All rights reserved.

Suggested Citation
Thomas F. Golob and Amelia C. Regan (2001) “Impacts of highway congestion on freight operations: Perceptions of trucking industry managers”, Transportation Research Part A: Policy and Practice, 35(7), pp. 577–599. Available at: 10.1016/s0965-8564(00)00008-2.

published journal article

AdNoC: Runtime adaptive network-on-chip architecture

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Publication Date

February 1, 2012

Author(s)

Mohammad Al Faruque, Thomas Ebi, J org Henkel
Suggested Citation
Mohammad Abdullah Al Faruque, Thomas Ebi and J org Henkel (2012) “AdNoC: Runtime adaptive network-on-chip architecture”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 20(2), pp. 257–269. Available at: 10.1109/tvlsi.2010.2094215.

research report

Effects of Tax Reform on the Demand for Owner-Occupied Housing : A Microsimulation Approach

Publication Date

January 1, 1984

Author(s)

David Brownstone, Peter Englund, Mats Persson

Report Number

03478769 (ISSN)

Abstract

The paper analyzes the effects on the demand for owner-occupied housing that are likely to result from the Swedish 1983-85 tax reform. This is done by means of a microsimulation model which takes into account the dichotomous nature of the demand for housing: the consumers choose the mode of tenure (owning versus renting) as well as the quantity of housing conditional on the choice of the mode of tenure. The tax reform consists of a general reduction of marginal tax rates (i.e. an increase in disposable income) together with limitations in the deductibility of mortgage interests. The simulations show that this will cause an increase in home-ownership in the sense that more households will demand owner-occupied housing. At the same time, however, the households will demand smaller houses in the average, and thus aggregate demand for small and medium-sized units will increase while demand for large units will fall sharply.

Suggested Citation
David Brownstone, Peter Englund and Mats Persson (1984) Effects of Tax Reform on the Demand for Owner-Occupied Housing : A Microsimulation Approach. 03478769 (ISSN). Stockholm: IIES, p. 43. Available at: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-41316 (Accessed: July 12, 2010).

conference paper

Performance evaluation of navigation using LEO satellite signals with periodically transmitted satellite positions

Proceedings of the 2019 international technical meeting of the institute of navigation

Publication Date

February 1, 2019

Author(s)

Christian T. Ardito, Joshua J. Morales, Joe Khalife, Ali Abdallah, Zaher Kassas

Abstract

The navigation performance with low Earth orbit (LEO) satellite signals is evaluated. The navigation framework used to perform this evaluation tightly integrates a vehicle’s inertial navigation system (INS) with Doppler and pseudorange measurements from LEO satellites. The following scenario is considered. A vehicle has access to global navigation satellite system (GNSS) signals and a priori, uncertain information about LEO satellite states. The vehicle navigates by tightly integrating GNSS pseudorange measurements with its onboard INS. During the period when GNSS signals are available, the vehicle tracks the LEO satellites from pseudorange and Doppler measurements, refining estimates about their states. Next, GNSS signals are assumed to be unavailable. The vehicle transitions to a simultaneous tracking and navigation (STAN) mode where it simultaneously tracks the LEO satellites and navigates by integrating pseudorange and Doppler measurements made on the LEO satellites with its onboard INS. The performance of this navigation framework is evaluated for two cases: when the LEO satellites periodically transmit their position and when the do not transmit such information. Simulation results with existing LEO satellite constellations pertaining to Orbcomm and Globalstar as well as the future satellite constellation pertaining to Starlink are presented. It was assumed that the LEO satellites are periodically transmitting their positions. These simulation results consider an unmanned aerial vehicle (UAV) equipped with a tactical-grade inertial measurement unit (IMU) navigating for 81.6 km in 600 seconds, in which GNSS signals were only available for the first 100 seconds. It is demonstrated that the final position error of the INS-Orbcomm-Globalstar system was 93.01 m while the INS-Starlink system was 9.81 m. The position root mean squared error (RMSE) of the INS-Orbcomm-Globalstar system was 58.59 m while the INS-Starlink system was 10.13 m. Experimental results with existing Orbcomm LEO satellites are presented in which only Doppler measurements were made on two available satellites. The experimental results were conducted on a ground vehicle equipped with a tactical-grade IMU that traversed 7.5 km in 258 seconds, in which GNSS signals were only available for the first 30 seconds. It is demonstrated that the final position error of the INS without GNSS signals was 3.73 km and the position RMSE was 1.42 km. On the other hand, the final position error of the INS-Orbcomm system was 233.3 m and the position RMSE was 188.6 m when the position of the satellite was decoded from its transmitted message. If such position was not decoded and was estimated only from the STAN framework, the final position error was 476.3 m and the position RMSE was 195.6 m.

Suggested Citation
Christian T. Ardito, Joshua J. Morales, Joe Khalife, Ali.A. Abdallah and Zaher M. Kassas (2019) “Performance evaluation of navigation using LEO satellite signals with periodically transmitted satellite positions”, in Proceedings of the 2019 international technical meeting of the institute of navigation. Institute of Navigation (Proceedings of the international technical meeting of the institute of navigation), pp. 306–318. Available at: 10.33012/2019.16743.

conference paper

Numerical simulation of continuous-time stochastic dynamical systems with noisy measurements and their discrete-time equivalents

2011 IEEE international symposium on computer-aided control system design (CACSD)

Publication Date

September 1, 2011

Author(s)

Suggested Citation
Zaher M. Kassas (2011) “Numerical simulation of continuous-time stochastic dynamical systems with noisy measurements and their discrete-time equivalents”, in 2011 IEEE international symposium on computer-aided control system design (CACSD). IEEE, pp. 1397–1402. Available at: 10.1109/cacsd.2011.6044573.

working paper

A Solution Algorithm for Long Haul Freight Network Design Using Shipper-Carrier Freight Flow Prediction with Explicit Capacity Constraints

Publication Date

January 1, 2008

Abstract

Freight transportation has long been recognized as an important foundation of economic strength. Previous studies use traditional methods to examine a set of scenarios. However, due to the complexity of transportation projects which can have substitution effects in a network the number of resulting scenarios may be more than can be examined on a case by case basis.

In this paper, a sequential shipper-carrier freight flow prediction model is examined. Additionally, an explicit capacity constraint is used to divert the traffic volume from congested links. A branch and bound method is applied to obtain a solution to our model. We discuss the benefits and limitations of our method, examine its computational efficiency and provide a numerical example. The results show that project selection by the traditional case by case analysis method cannot capture the complexity of freight transportation network improvements and yields the sub-optimal solution.

conference paper

Communication throughput of vehicular ad hoc networks

Proceedings of the 4th IEEE vehicular network conference (VNC 2012), seoul, south korea

Publication Date

January 1, 2012

Author(s)

Suggested Citation
Hao Yang and W.-L. Jin (2012) “Communication throughput of vehicular ad hoc networks”, in Proceedings of the 4th IEEE vehicular network conference (VNC 2012), seoul, south korea.