Data

Congestion- Responsive On-Ramp Metering: Recommendation toward a Statewide Policy

Lu, Xiao-Yun
Amini, Zahra
Mauch, Michael
Skabardonis, Alexander
University of California, Berkeley
California Department of Transportation
2019

The objective of this project was to develop recommendations toward a statewide policy of congestion responsive freeway ramp metering (CRRM) operation. The research has been performed in the following approaches: First an empirical “before” and “after” freeway corridor performance evaluation was performed on a selected set of California’s freeway corridors that had implemented congestion responsive ramp metering. Next, other important policy and operational factors that impact the effectiveness of extended hours ramp metering were evaluated: traffic detector health and data quality and...

Comparative Analysis of Computer Models for Arterial Signal Timing

Skabardonis, Alexander
May, Adolf D
1985

The state-of-the-art computer models TRANSYT-7F, MAXBAND, and PASSER-II for arterial signal timing are evaluated considering their capabilities in developing optimal timing plans, input data requirements, and output options. These models were applied on an 11-signal arterial to optimize various combinations of the signal control variables for two-phase and multiphase signal operation. It was found that the timings from TRANSYT-7F were better in terms of traffic performance than the settings from the bandwidth models, under fixed phasing. The settings from MAXBAND and PASSER-II produced...

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...

A Framework for Validating Traffic Simulation Models at the Vehicle Trajectory Level

Xyntarakis, Michalis
Alexiadis, Vassili
Punzo, Vincenzo
Campbell, Robert
Skabardonis, Alex
2017

Based on current practices, traffic simulation models are calibrated and validated using macroscopic measures such as 15-minute averages of traffic counts or average point-to-point travel times. For an emerging number of applications, including connected vehicles, the realism of simulated driver dynamics at the second-by-second or sub-second trajectory level plays an important role. A framework to validate the realism of simulated vehicle dynamics at the trajectory level is presented in this report. Trajectory measures related to safety, comfort, vehicle kinematics, and traffic flow are...

Assessment of Traffic Simulation Models : Final Report

Skabardonis, Alexander
University of California, Berkeley
Washington State Department of Transportation
1999

This report describes a study which focused on the selection and application of traffic simulation models. The models were evaluated for: capabilities and features, input data requirements, output options, relationship with traditional planning and operational analysis tools, and modeling effort and costs.

Assessment of the Impact of Weather on Freeway Operations in California

Seeherman, Joshua Lawrence
Sisiopiku, Virginia
Skabardonis, Alexander
Transportation Research Board
2012

Several factors contribute to traffic congestion on highway facilities including adverse weather conditions. However, the extent of weather impacts on traffic flow and congestion delay on freeways is not fully known. This study analyzed an extensive set of historical traffic data from the state of California to gain a better understanding of the proportion of traffic delay that can be directly attributed to weather. A congestion estimation model was developed to estimate vehicle delays directly attributed to rain on 17 urban freeway corridors. It was found that delay due to rain ranged...

Arterial Traffic Estimation Using Field Detector and Signal Phasing Data

Gan, Qijian
Skabardonis, Alexander
University of California, Berkeley
2019

In this project, a novel approach has been developed to estimate the traffic states on arterial road links controlled by signalized intersections using both loop detector data and signal phasing information. The authors derived a trapezoidal fundamental diagram that includes two occupancy thresholds to categorize the traffic states into three different regimes: uncongested, congested, and downstream queue spillback. The parameters used to compute these two thresholds are closely related to road geometry, detector layout, signal settings, and vehicle dynamics, which can be obtained from the...

Arterial Queue Spillback Detection and Signal Control Based on Connected Vehicle Technology

Christofa, Eleni
Argote, Juan
Skabardonis, Alexander
2013

Queue spillbacks are a major problem in urban signalized arterials because such spillbacks can lead to gridlock and excessive delays. Several methods based on fixed-location detector data have been proposed to identify the occurrence of queue spillbacks and implement signal control strategies to mitigate their impacts. This paper presents two queue spillback detection methods based on connected vehicle (CV) or probe data. The first method requires only the use of CV data and is based on the notion that nonequipped vehicles in queue that arrive after the last CV-equipped vehicle can be...

Arterial Speed Management with Control Measures: the Case of San Francisco, California

Halkias, Michael
Leng, Thalia
Sorell, Miriam
Parks, Jamie
Skabardonis, Alexander
2017

High vehicle speeds are strongly associated with both a greater likelihood of crash occurrence and more serious pedestrian injury. This study evaluated the effectiveness of traffic signal progression as a speed management tool in three arterial corridors in the city of San Francisco. Analysis of “before” and “after” field data on traffic volumes and speeds were used in the evaluation supplemented with estimates of air pollutant vehicle emissions. The findings show that the implemented control measure is an effective low-cost method to reduce the average speeds at the selected corridors....