Traffic Theory

Theory Versus Implementation in Congestion-priced Parking: An Evaluation of SFpark, 2011–2012

Chatman, Daniel G.
Manville, Michael
2014

Shortages of street parking can cause cruising, a major source of urban congestion. We used SFpark, a federally funded experiment in market-priced parking in San Francisco, to study how changes in meter prices influenced on-street parking availability. We supervised observations of more than 13,400 vehicles parked on a subset of dynamically priced and control blocks at three points in time during 2011 and 2012. Repeated-observation, change-on-change regressions show that when prices rose, the block-level occupancy of parking fell, suggesting that SFpark worked as intended. But blocks where...

Incorporating Predictability Into Cost Optimization for Ground Delay Programs

Liu, Yi
Hansen, Mark
2016

This work introduces the goal of predictability into ground delay program (GDP) cost optimization under capacity uncertainty for a single airport case. This is accomplished by modifying traditional GDP delay cost functions so that they incorporate predictability. Extra premiums are assigned to unplanned delays, and planned but unincurred delays, due to their unpredictability. Two stochastic GDP models are developed based on deterministic queueing theory and continuous approximation to estimate the delay components in the cost functions: a static no-revision model and a dynamic model...

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...

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...

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 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...

Inter-technology Effects in Intelligent Transportation Systems

Levinson, David M.
Kanchi, Seshasai
Gillen, David
2002

This project examines the expected benefits of varying combinations of ITS applications: Freeway Service Patrol, Changeable Message Signs, and Ramp Metering. The research analyzes the simulated results of a stylized network in a microscopic traffic simulator. The traffic network includes parallel roadways, ramp meters and changeable message signs.We have tested these technologies in various combinations. We measure effectiveness and define a measure of inter-technology economies.In brief, it is found that additional technologies are sub-additive, and more benefits come from each technology...

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...