Environment

Impacts of Weather on Traffic Flow Characteristics of Urban Freeways in Istanbul

Akin, Darcin
Sisiopiku, Virginia P
Skabardonis, Alexander
2011

Speed-flow relationships have been established for different free-flow speeds on urban freeways. However, there have been few research efforts relating real-time traffic flow parameters and weather conditions for different levels of heavy vehicle traffic. This study aims at establishing relationships between speed and volume in freeway sections using Remote Traffic Microwave Sensor (RTMS) data as a function of weather conditions. Historical weather and RTMS detector data (i.e., volume and speed) from two highway corridors in the Istanbul metropolitan area are used for this purpose....

Impact of Traffic States on Freeway Crash Involvement Rates

Yeo, Hwasoo
Jang, Kitae
Skabardonis, Alexander
Kang, Seungmo
2013

Freeway traffic accidents are complicated events that are influenced by multiple factors including roadway geometry, drivers' behavior, traffic conditions and environmental factors. Among the various factors, crash occurrence on freeways is supposed to be strongly influenced by the traffic states representing driving situations that are changed by road geometry and cause the change of drivers' behavior. This paper proposes a methodology to investigate the relationship between traffic states and crash involvements on the freeway. First, the authors defined section-based traffic states: free...

Impact of Adverse Weather on Freeway Bottleneck Performance

Seeherman, Joshua
Skabardonis, Alexander
2020

Congestion on freeways occurs when demand exceeds the available capacity. Common causes of recurring congestion, also known as freeway bottlenecks, include lane drops, on-ramp merges, and weaving sections. Adverse weather can reduce the maximum queue discharge flow, but this effect has not been systematically investigated. This research examined the relationship between discharge flow and weather characteristics including rainfall intensity, wind speed, and visibility. Queue discharge rates at four isolated merge bottlenecks were measured using an established methodology of cumulative...

Connected & Autonomous Vehicles – Environmental Impacts – A review

Kopelias, Pantelis
Elissavet, Demiridi
Vogiatzis, Konstantinos
Skabardonis, Alexandros
Zafiropoulou, Vassiliki
2020

Over the last decades the vehicle industry has shown interest in integrating new technologies on vehicles’ design. Such technologies are used in autonomous, connected and electrical vehicles with the primary hope of improving road safety and the environmental impact of road traffic. Regarding the environmental impact, the transport sector has been considered responsible for Greenhouse Gas emissions for the past thirty years or more, and efforts have been made to reduce impacts of such emissions on the environment. The environmental noise is also associated with road traffic and its effects...

Advanced Traffic Signal Control Algorithms

Skabardonis, Alexander
Shladover, Steven
Zhang, Wei-bin
Zhang, Liping
Li, Jing-Quan
2013

Advanced signal control strategies, based on real-time information on vehicles’ location, speed and characteristics as well as communication to the signal control infrastructure, can enhance mobility, safety, and the environment. Several performance measures are proposed for evaluating signal control algorithms, and procedures for estimating the performance measures from connected vehicle data are developed using statistical techniques and kinematic wave theory. A number of control strategies are developed and tested through simulation to improve mobility: queue spillback avoidance,...

Vehicle Emissions Estimation Under Oversaturated Conditions Along Signalized Arterials

Skabardonis, Alexander
Geroliminis, Nikolas
Christofa, Eleni
Transportation Research Board
2012

Traditionally, the amount of air pollutant emissions from motor vehicles—hydrocarbons, carbon monoxide, and oxides of nitrogen—is estimated from emission factors based on trip and vehicle miles traveled and aggregate measures of vehicle activity (e.g., average vehicle speed). This method is not reliable for urban networks, as it does not consider the effect of traffic signals and congestion. There is a need to predict vehicle activity by mode of operation, i.e., time spent in cruise, acceleration, deceleration, and idle to obtain improved emission estimates. An analytical model for...

Traffic Signal Timing as a Transportation System Management Measure : The California Experience

Deakin, Elizabeth A
Skabardonis, Alexander
May, Adolf D
1986

Traffic signal retiming has long been suggested as a means of improving traffic operations and reducing fuel consumption and emissions. However, few local agencies have been able to muster the resources to systematically retime their signals. In California, a statewide program--the Fuel Efficient Traffic Signal Management (FETSIM) Program--was established to address this need. The FETSIM Program provides funds, training, and technical assistance to local agencies to retime their signal systems for greater operating efficiency. To date, 62 local jurisdictions have participated in the...

Benefit Analysis of Dynamic Weather Route: Statistical Evaluation of En Route Airspace Performance

Gorripaty, Sreeta
Kang, Lei
Hao, Lu
Hansen, Mark
2015

Convective weather is the leading cause of air traffic delay in the National Airspace System. In the current en-route rerouting process, dispatchers typically use the routes planned 45 minutes before pushback from the gate rendering these routes sometimes over-conservative due to transforming weather conditions. The Dynamic Weather Routes (DWR) tool, which is installed at the American Airlines (AA) Integrated Operations Center in Fort Worth Center since 2012, is an advanced user-support tool designed to automatically find time saving reroutes for flights in en-route airspace. However,...

Authors’ Response to Beuthe’s Comment on “An Aggregate Demand Model for Air Passenger Traffic in the Hub-and-Spoke Network.” Transportation Research Part A: Policy and Practice

Hansen, Mark
Wei, Wenbin
2006

Multivariate statistical analysis is used to estimate the impacts of a major capacity expansion at Dallas-Fort Worth International Airport. The model relates the Daily Flight Time Index (DFTI) to demand, weather, origin airport congestion, and the expansion itself. The effect of the capacity expansion on DFTI is found to depend strongly on visibility. On average, the index in the post-expansion period is 1.3min less as a consequence of investment. This change includes a larger reduction in departure delay that is offset by an increase in taxi time. Moreover, the reduction caused by the...

A Simulation-Optimization Framework for Developing Wind-Resilient AAM Networks

Onat, Emin Burak
Cao, Shangqing
Rizwan, Raiyan
Jiang, Xuan
Hansen, Mark
Sengupta, Raja
Chakrabarty, Anjan
2024

Environmental factors pose a significant challenge to the operational efficiency and safety of advanced air mobility (AAM) networks. This paper presents a simulation-optimization framework that dynamically integrates wind variability into AAM operations. We employ a nonlinear charging model within a multi-vertiport environment to optimize fleet size and scheduling. Our framework assesses the impact of wind on operational parameters, providing strategies to enhance the resilience of AAM ecosystems. The results demonstrate that wind conditions exert significant influence on fleet size even...