Evaluation of a Road Pricing Method Based on Demand Distribution in Micro Traffic Simulation

The location placement of pick-up/drop-offs of ride hailing usually only considers spatial distribution within a certain area. Previous studies often mapped out the potential hotspots for pick-up/drop-offs, benefitting the ride-hailing company and not considering the passengers. Therefore, in this study, we incorporated the spatiotemporal distribution of mobility-on-demand on generating pick-up/drop-off location placement using a genetic algorithm considering the walking distance and minimum demand data served within the radius. The data collected are analyzed through the clustering method, and the resulting cluster centers are fed into the location optimization algorithm. The genetic algorithm is used to optimize the location placement with the consideration of the user’s walking distance and demand. The algorithm is able to find an appropriate placement and determine reliable pick-up/drop-off stations within the study area based on observed spatiotemporal demand despite the difference in demand distribution through different time periods.

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Impact of Ad-hoc on-demand distance vector on TCP traffic simulation using network simulator

Materials Today Proceedings ◽

10.1016/j.matpr.2021.04.578 ◽

2021 ◽

Author(s):

Ajay Kumar ◽

Raj Shree ◽

Ashwani Kant Shukla ◽

Ravi Prakash Pandey ◽

Vivek Shukla

Keyword(s):

Ad Hoc ◽

Traffic Simulation ◽

Network Simulator ◽

On Demand ◽

Distance Vector

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Effect of Truncated Demand and Capacity Distributions on Reliability of Pipelines

Volume 2: Safety and Reliability; Pipeline Technology ◽

10.1115/omae2003-37119 ◽

2003 ◽

Author(s):

Ziad Nakat ◽

Robert Bea

Keyword(s):

Pressure Relief ◽

Physical Constraints ◽

Demand Distribution ◽

On Demand ◽

Truncated Distributions ◽

Pressure Relief Valves ◽

Analysis Of Results ◽

Management Policies ◽

Comparison And Analysis ◽

Demand And Capacity

Reliability of pipelines has been considered assuming different probability continuous distributions of demand and capacities. These distributions in reality can be truncated at the tails by physical constraints such as pressure relief valves (demand truncation), and hydro-testing (capacity truncation). This paper describes the effect of truncations on the reliability of pipelines. The effect of truncation by relief valves on the demand distribution is studied first; the effect of truncation by hydro-testing on the capacity distribution is studied second; and last, the combined effect of truncation on demand and capacity is studied. A comparison and analysis of results is presented to assess the importance of truncated distributions of demand and capacity on the reliability of pipelines. The results show that truncated distributions can have large effects on the reliability and should be accounted for, since they can alter significantly inspection and management policies.

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Big videos on small networks. A hierarchical and distributed architecture for a video on demand distribution service

2005 1st International Conference on Multimedia Services Access Networks, 2005. MSAN '05. ◽

10.1109/msan.2005.1489934 ◽

2005 ◽

Cited By ~ 1

Author(s):

C.E.C.F. Batista ◽

T.L. Samilto ◽

L.E.C. Leite ◽

G.L. de Souza ◽

G.E. da Silveira

Keyword(s):

Video On Demand ◽

Distributed Architecture ◽

Demand Distribution ◽

On Demand

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The impact of binge watching on memory and perceived comprehension

First Monday ◽

10.5210/fm.v22i9.7729 ◽

2017 ◽

Cited By ~ 3

Author(s):

Jared C. Horvath ◽

Alex J. Horton ◽

Jason M. Lodge ◽

John A.C. Hattie

Keyword(s):

Video On Demand ◽

Memory Formation ◽

Controlled Study ◽

Television Programs ◽

New Normal ◽

Demand Distribution ◽

On Demand ◽

The Impact

Binge watching via video-on-demand services is now considered the new ‘normal’ way to consume television programs. In fact, recent surveys suggest upwards of 80 percent of consumers prefer and indulge in binge watching behavior. Despite this, there is no evidence regarding the impact of binge watching on the enjoyment of and memory for viewed content. In this, the first empirical and controlled study of its kind, we determined that, although binge watching leads to strong memory formation immediately following program viewing, these memories decay more rapidly than memories formed after daily- or weekly-episode viewing schedules. In addition, participants in the binge watching condition reported significantly less show enjoyment than participants in the daily- or weekly-viewing conditions — though, important considerations with regards to this finding are discussed. Although it is a preferred viewing style catered to by many internet-based on-demand distribution companies, binge watching does not appear to benefit sustained memory of viewed content and may affect show enjoyment.

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