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- Activity-based travel demand modeling (1)
- Bayesian (1)
- Bicycle-sharing (1)
- Biomass (1)
- Biorefinery (1)
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- Built environment (1)
- CitiBike (1)
- Climate change (1)
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- Coordinate conversion (1)
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- Intrahousehold interactions (1)
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- Maneuver identification (1)
- Meta-heuristic algorithms (1)
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- Multi-objective particle swarm optimization (1)
- Multiple-discreteness (1)
- Non-domination sorting genetic algorithm II (1)
- Particle swarm optimization (1)
- Roads and streets (1)
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- Publication
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- Civil & Environmental Engineering Faculty Publications (2)
- Civil & Environmental Engineering Theses & Dissertations (1)
- Computational Modeling & Simulation Engineering Faculty Publications (1)
- Computational Modeling & Simulation Engineering Theses & Dissertations (1)
- Electrical & Computer Engineering Faculty Publications (1)
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Articles 1 - 6 of 6
Full-Text Articles in Engineering
Algorithms For Constructing Vehicle Trajectories In Urban Networks Using Inertial Sensors Data From Mobile Devices, Umana Ahmed
Algorithms For Constructing Vehicle Trajectories In Urban Networks Using Inertial Sensors Data From Mobile Devices, Umana Ahmed
Computational Modeling & Simulation Engineering Theses & Dissertations
Vehicle trajectories are an important source of information for estimating traffic flow characteristics. Lately, several studies have focused on identifying a vehicle’s trajectory in traffic network using data from mobile devices. However, these studies predominantly employed GPS coordinate information for tracking a vehicle’s speed and position in the transportation network. Considering the known limitations of GPS, such as, connectivity issues at urban canyons and underpasses, low precision of localization, high power consumption of device while GPS is in use, this research focuses on developing alternate methods for identifying a vehicle’s trajectory at an intersection and at a urban grid network …
A Household Daily Non-Mandatory Activity Participation And Duration Modeling Accounting For Person Level Budget Constraints, Ivana Vukovic
A Household Daily Non-Mandatory Activity Participation And Duration Modeling Accounting For Person Level Budget Constraints, Ivana Vukovic
Civil & Environmental Engineering Theses & Dissertations
A key methodological and behavioral innovative component in recent Activity-Based Models (ABMs) used for transportation planning is the household-level non-mandatory activity participation component. While traditional ABMs use a series of simple models to predict non-mandatory activity participation decisions in a sequential manner (which is often not correct), the Multiple Discrete Continuous Extreme Value (MDCEV) model can model both individual and joint non-mandatory activity participation and time allocation decisions in different out-of-home activities of all household members simultaneously. A key advantage of the MDCEV framework is that it accounts for complex intra-household interactions among different household members by allocating the total …
Data-Driven Spatial Modeling For Quantifying Networkwide Resilience In The Aftermath Of Hurricanes Irene And Sandy, Yuan Zhu, Kun Xie, Kaan Ozbay, Fan Zuo, Hong Yang
Data-Driven Spatial Modeling For Quantifying Networkwide Resilience In The Aftermath Of Hurricanes Irene And Sandy, Yuan Zhu, Kun Xie, Kaan Ozbay, Fan Zuo, Hong Yang
Computational Modeling & Simulation Engineering Faculty Publications
In recent years, the New York City metropolitan area was hit by two major hurricanes, Irene and Sandy. These extreme weather events disrupted and devastated the transportation infrastructure, including road and subway networks. As an extension of the authors' recent research on this topic, this study explored the spatial patterns of infrastructure resilience in New York City with the use of taxi and subway ridership data. Neighborhood tabulation areas were used as the units of analysis. The recovery curve of each neighborhood tabulation area was modeled with the logistic function to quantify the resilience of road and subway systems. Moran's …
Impact Of Trucking Network Flow On Preferred Biorefinery Locations In The Southern United States, Timothy M. Young, Lee D. Han, James H. Perdue, Stephanie R. Hargrove, Frank M. Guess, Xia Huang, Chung-Hao Chen
Impact Of Trucking Network Flow On Preferred Biorefinery Locations In The Southern United States, Timothy M. Young, Lee D. Han, James H. Perdue, Stephanie R. Hargrove, Frank M. Guess, Xia Huang, Chung-Hao Chen
Electrical & Computer Engineering Faculty Publications
The impact of the trucking transportation network flow was modeled for the southern United States. The study addresses a gap in existing research by applying a Bayesian logistic regression and Geographic Information System (GIS) geospatial analysis to predict biorefinery site locations. A one-way trucking cost assuming a 128.8 km (80-mile) haul distance was estimated by the Biomass Site Assessment model. The "median family income," "timberland annual growth-to-removal ratio," and "transportation delays" were significant in determining mill location. Transportation delays that directly impacted the costs of trucking are presented. A logistic model with Bayesian inference was used to identify preferred site …
A Comparative Study On Using Meta-Heuristic Algorithms For Road Maintenance Planning: Insights From Field Study In A Developing Country, Ali Gerami Matin, Reza Vatani Nezafat, Amir Golroo
A Comparative Study On Using Meta-Heuristic Algorithms For Road Maintenance Planning: Insights From Field Study In A Developing Country, Ali Gerami Matin, Reza Vatani Nezafat, Amir Golroo
Civil & Environmental Engineering Faculty Publications
Optimized road maintenance planning seeks for solutions that can minimize the life-cycle cost of a road network and concurrently maximize pavement condition. Aiming at proposing an optimal set of road maintenance solutions, robust meta-heuristic algorithms are used in research. Two main optimization techniques are applied including single-objective and multi-objective optimization. Genetic algorithms (GA), particle swarm optimization (PSO), and combination of genetic algorithm and particle swarm optimization (GAPSO) as single-objective techniques are used, while the non-domination sorting genetic algorithm II (NSGAII) and multi-objective particle swarm optimization (MOPSO) which are sufficient for solving computationally complex large-size optimization problems as multi-objective techniques are …
How Bicycling Sharing System Usage Is Affected By Land Use And Urban Form: Analysis From System And User Perspectives, Ahmadreza Faghih-Imani, Naveen Eluru, Rajesh Paleti
How Bicycling Sharing System Usage Is Affected By Land Use And Urban Form: Analysis From System And User Perspectives, Ahmadreza Faghih-Imani, Naveen Eluru, Rajesh Paleti
Civil & Environmental Engineering Faculty Publications
There is a rapid growth of bicycle-sharing systems (BSS) around the world. Cities are supporting these systems as a more sustainable transport mode for short trips. Given the relatively recent adoption of BSS, there is substantial interest in understanding how these systems impact urban transportation. In this paper, we examine the functioning of the hugely successful New York City CitiBike system. We focus on the interaction of BSS with land-use and built environment attributes and the influence of weather condition and temporal characteristics on BSS usage. Towards this end, CitiBike system is analyzed along two dimensions: (1) at the system …