Traffic Operations and Management

Extracting Vehicle Trojectories from Video Data: The NGSIM Ptototype Data Set

Sim, Z W
Skabardonis, A
University of California, Berkeley
2005

The Next Generation Simulation (NGISM) program, initiated by the Federal Highway Administration (FHWA), has as its objective the development of behavioral algorithms that support microscopic traffic simulation, accompanied by documentation and validation sets. This article relates how algorithms from the California Partners for Advanced Transit and Highways (PATH) program were selected to produce a prototype data set of vehicle trajectories as well as aid in assessing the viability of emerging technologies for automating the trajectory generation process. Vehicle trajectories are needed to...

Extracting Vehicle Trojectories from Video Data: The NGSIM Ptototype Data Set

Sim, Z W
Skabardonis, A
University of California, Berkeley
2005

The Next Generation Simulation (NGISM) program, initiated by the Federal Highway Administration (FHWA), has as its objective the development of behavioral algorithms that support microscopic traffic simulation, accompanied by documentation and validation sets. This article relates how algorithms from the California Partners for Advanced Transit and Highways (PATH) program were selected to produce a prototype data set of vehicle trajectories as well as aid in assessing the viability of emerging technologies for automating the trajectory generation process. Vehicle trajectories are needed to...

Evaluation of Methodologies for the Design and Analysis of Freeway Weaving Sections

Skabardonis, Alexander
Christofa, Eleni
2011

Weaving sections are common design elements on freeway facilities such as near ramps and freeway-to-freeway connectors. Traffic operational problems often exist at weaving areas even when traffic demands are less than capacity because of the complexity of vehicle interactions, resulting in poor level of service (LOS) and potential safety problems. The objective of the work described in this paper is to evaluate the new weaving analysis methodology developed for the forthcoming edition of the Highway Capacity Manual (HCM2010). The authors applied the method to 30 real-world weaving sections...

Transportation Research Record: Journal of the Transportation Research Board

Skabardonis, Alexander
Mauch, Michael
2015

Weaving sections are common design elements on freeway facilities such as near ramps and freeway-to-freeway connectors. Traffic operational problems often exist at weaving areas even when traffic demands are less than capacity because of the complexity of vehicle interactions, resulting in poor level of service and potential safety problems. The objective of this research was to evaluate the methodology for analyzing freeway weaving in the Highway Capacity Manual 2010 (HCM 2010) and other methodologies for evaluating weaving, such as Level D and Leisch, that are used for design and...

Estimation of truck traffic volume from single loop detectors with lane-to-lane speed correlation

Kwon, J
Varaiya, P
Skabardonis, A
Transportation Research Board
2003

An algorithm for real-time estimation of truck traffic in multilane freeways was proposed. The algorithm used data from single loop detectors--the most widely installed surveillance technology for urban freeways in the United States. The algorithm worked for those freeway locations that have a truck-free lane and exhibit high lane-to-lane speed correlation. These conditions are met by most urban freeway locations. The algorithm produced real-time estimates of the truck traffic volumes at the location. It also can be used to produce alternative estimates of the mean effective vehicle length...

Estimation of measures of effectiveness based on Connected Vehicle data

Argote, J
Christofa, E
Xuan, Yiguang
Skabardonis, A
Institute of Electrical and Electronics Engineers (IEEE)
2011

Vehicle-infrastructure cooperation via the Connected Vehicle initiative is a promising mobile data source for improving real-time traffic management applications such as adaptive signal control. This paper focuses on developing estimation methods with the use of Connected Vehicle data for several measures of effectiveness (e.g., queue length, average speed, number of stops), essential for determining traffic conditions on urban signalized arterials for real-time applications. This research systematically determines minimum penetration rates that allow accurate estimates for a wide range of...

Estimating the impacts of signal hardware improvements

Skabardonis, A
1996

Signal equipment upgrades (e.g., multiple timing plan capability and signal interconnection) are commonly used to improve the quality of traffic flow in urban arterials and networks. The findings of the assessment of the effects of alternative control scenarios to assist practicing engineers in conducting analyses to determine the effectiveness of proposed signal equipment upgrades are presented. The effectiveness of hardware improvements was evaluated against the optimal timings with the available equipment to differentiate the benefits from installing hardware from the benefits from...

Estimating Queue Length Under Connected Vehicle Technology: Using Probe Vehicle, Loop Detector, and Fused Data

Li, Jing-Quan
Zhou, Kun
Shladover, Steven E
Skabardonis, Alexander
2013

With the emergence of connected vehicle technology, the use of probe trajectory data to estimate queue length has recently received considerable attention. Unlike data collected by loop detectors, probe trajectory data can provide a lower bound on the queue length even if the market penetration rate is low. An event-based method is developed: it uses both probe trajectory and signal timing data to estimate queue length, and the estimation accuracy under different market penetration rates is examined. A data fusion method is developed: it combines probe trajectory data and loop detector...

Estimating and Validating Models of Microscopic Driver Behavior with Video Data

Skabardonis, Alex
2005

This report describes the enhancements to the video data collection of the Berkeley Highway Laboratory (BHL), a unique surveillance system on a section of I-80 freeway in the city of Emeryville. We also present the development of advanced machine vision algorithms to process the video data to generate vehicle trajectories. A pilot application of the BHL system produced trajectories of over 4700 vehicles. This is the largest dataset of vehicle trajectories on extended freeway segments. In addition, algorithms and software were developed for data analysis and visualization.

Empirical and Analytical Investigation of Traffic Flow Regimes and Transitions in Signalized Arterials

Vlahogianni, Eleni I
Geroliminis, Nikolas
Skabardonis, Alexander
2008

The paper presents a methodological framework that integrates different data-driven techniques in order to detect the different traffic flow regimes (free flow, congested conditions, and so on) observed in signalized arterials as well as the manner traffic flow shifts from one regime to another (transitions). Traffic flow is determined by the joint consideration of the temporal evolution of volume and occupancy. The boundary conditions of the different regimes are identified via a fuzzy wavelet approach based on the volume-occupancy relationship. Moreover, a Bayesian network is developed...