Traffic Operations and Management

A Study on the Wave Development and Evolution Characteristics of Stop-and-Go Traffic

Suh, Jonghae
Yeo, Hwasoo
Skabardonis, Alexander
Transportation Research Board
2012

Stop-and-go waves are frequently observed in congested freeway and they have the life cycle of generation, growth, and dissipation. Yet, the development and evolution of stop-and go waves are not much researched. Therefore a serious observation is needed to understand the traffic phenomena in congested traffic. In this paper, the spatiotemporal changes of traffic state with stop-and-go waves evolution based on NGSIM trajectory dataset is investigated. It is shown how the development and evolutionary characteristics are related to lane changing maneuvers. Specifically, growth and...

A Study of Arterial Operational Improvements: A Detailed Feasibility Analysis Using San Pablo Avenue as a Case Study. Deliverable #7

Skabardonis, Alexander
Deakin, Harvey, Skabardonis, Incorporated
Ann Stevens Associates
1990

Evaluates the feasibility of combining signal coordination and other operational improvements with transit priority treatments on signalized arterials. The study presents an assessment of promising operating strategies and technologies for signal coordination and transit priority, as well as a corridor-level feasibility analysis applying these strategies and technologies to one San Francisco Bay Area arterial, San Pablo Avenue in the East Bay.

A Paramics Plugin for Actuated Signal Control and First Generation UTCS

Gomes, Gabriel
Skabardonis, Alexander
2006

This report serves as a user manual for a plugin developed under the Paramics API for simulating standard surface street traffic controllers. The strategies included are time-of-day, actuated signal control, traffic responsive, and traffic responsive with critical intersection control.

A Methodology for Assessing Signal Timing Plans and Control Technology Under Varying Demands and Capacities

Dowling, Richard G
Skabardonis, Alexander
Ashiabor, Senanu
Transportation Research Board
2011

This paper describes a methodology for predicting the robustness of signal timing plans and their associated control technology under varying demand and capacity conditions. The proposed methodology involves the selection of a signal timing analysis tool and the repeated application of that tool for various demand/saturation flow ratio scenarios that might occur at the critical bottleneck of the system during the selected peak period over the course of a year. The results are then combined into estimates of whole year average performance and 95 percentile worst performance. A new indicator...

A link partitioning approach for real-time control of queue spillbacks on congested arterials

Ramezani, Mohsen
de Lamberterie, Nicolas
Skabardonis, Alexander
Geroliminis, Nikolas
2025

In oversaturated urban traffic conditions when traffic demand exceeds capacity at signalised intersections, queues fail to clear during the allocated green times. Once a queue reaches the upstream intersection in an arterial, a queue spillback occurs that reduces the upstream link capacity. To mitigate the negative impacts of spillbacks, this article introduces a real-time adaptive traffic signal control method for global management of spillbacks along signalised arterials. The key idea of the proposed method is to implement a real-time partitioning of the arterial to detect critical...

A Futures Market for Demand Responsive Travel Pricing

Fournier, Nicholas
Patire, Anthony
Skabardonis, Alexander
University of California, Berkeley
2023

Dynamic toll pricing based on demand can increase transportation revenue while also incentivizing travelers to avoid peak traffic periods. However, given the unpredictable nature of traffic, travelers lack the information necessary to accurately predict congestion, so dynamic pricing has minimal effect on demand. Dynamic toll pricing also poses equity concerns for those who lack other travel options. This research explores a potential remedy to these concerns by using a simple “futures market” pricing mechanism in which travelers can lock in a toll price for expected trips by prepaying for...

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...

A Dynamic Model for Adaptive Bus Signal Priority

Liu, Hongchao
Skabardonis, Alexander
Zhang, Wei-Bin
University of California, Berkeley
California Department of Transportation
2003

Adaptive traffic signal control as well as transit signal priority (TSP) have both been viewed as important opportunities for reducing overall traffic congestion and improving bus transit service. However few studies have been conducted on combining them. A dynamic signal timing optimization model was developed in this research, which aims at reallocating green times among the phases with considering the realtime traffic flow condition and the bus priority request. In the model, both arrival and departure flows are described by time- dependent functions, the arrival of a bus with priority...

A Clustering Approach for Real-Time Control of Queue Spillbacks on Signalized Arterials

de Lamberterie, Nicolas
Ramezani, Mohsen
Skabardonis, Alexander
Geroliminis, Nikolas
Transportation Research Board
2014

When demand exceeds capacity at signalized intersections, queues fail to clear during the allocated green times. This creates oversaturated traffic conditions and when queues reach the upstream intersection a queue spillback occurs that reduces the upstream link capacity in arterials. To mitigate the negative impacts of spillbacks, this paper presents a traffic signal methodology for global management of long queues along signalized arterials. The key idea of the proposed methodology is to implement a real-time partitioning of the arterial to detect critical group(s) of consecutive links...

Approximate Method to Determine the Worst Case Performance of a Nonlinear Dynamical System

Tongue, Benson H.
Packard, Andrew
1998

This report presents the theoretical development of a method to evaluate differing platoon control strategies and determine each strategy's worst case behavior under bounded parametric variations. The approach is useful in aiding a platoon designer in determining the robustness a design strategy is in the face of system uncertainties. Index Terms: traffic platooning // safety // automated highways // vehicle dynamics.