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Articles 1 - 6 of 6
Full-Text Articles in Engineering
A Picture Is Worth A Thousand Roads, Keith Pierce
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 …
Estimating Freeway Traffic Volume Using Shockwaves And Probe Vehicle Trajectory Data, Khairul Anuar, Mecit Cetin
Estimating Freeway Traffic Volume Using Shockwaves And Probe Vehicle Trajectory Data, Khairul Anuar, Mecit Cetin
Civil & Environmental Engineering Faculty Publications
Probe vehicle data are increasingly becoming the primary source of traffic data. In current practice, traffic volumes and speeds are collected from inductive loop or similar devices. As probe vehicle data become more widespread, it is imperative that methods are developed so that traffic state estimators like speed, density and flow can be derived from probe vehicle data as well. In this paper, a methodology to estimate traffic flow on a freeway based on probe vehicle trajectory data combined with traffic shockwave theory is proposed. In essence, probe vehicle trajectory can indicate the free-flowing and congested regimes. By using LWR …
Impact Of Connected Vehicles On Mitigating Secondary Crash Risk, Hong Yang, Zhenyu Wang, Kun Xie
Impact Of Connected Vehicles On Mitigating Secondary Crash Risk, Hong Yang, Zhenyu Wang, Kun Xie
Computational Modeling & Simulation Engineering Faculty Publications
Reducing the risk of secondary crashes is a key goal for effective traffic incident management. However, only few countermeasures have been established in practices to achieve the goal. This is mainly due to the stochastic nature of both primary and secondary crashes. Given the emerging connected vehicle (CV) technologies, it is highly likely that CVs will soon be able to communicate with each other through the ad-hoc wireless vehicular network. Information sharing among vehicles is deemed to change traffic operations and allow motorists for more proactive actions. Motorists who receive safety messages can be motivated to approach queues and incident …
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 …