An Analytical Model for On-Demand Ride Sharing to Evaluate the Impact of Reservation, Detour and Maximum Waiting Time

2019 ◽  
Author(s):  
Aledia Bilali ◽  
Florian Dandl ◽  
Ulrich Fastenrath ◽  
Klaus Bogenberger
Keyword(s):  
Analytical Model ◽  
Waiting Time ◽  
On Demand ◽  
Ride Sharing ◽  
The Impact

scholarly journals We Are on the Way: Analysis of On-Demand Ride-Hailing Systems

2020 ◽  
Author(s):  
Guiyun Feng ◽  
Guangwen Kong ◽  
Zizhuo Wang
Keyword(s):  
Waiting Time ◽  
Heuristic Method ◽  
Problem Definition ◽  
Lower Efficiency ◽  
Average Waiting Time ◽  
On Demand ◽  
Trade Offs ◽  
Matching Mechanism ◽  
Service Paradigm ◽  
The Impact

Problem definition: Recently, there has been a rapid rise of on-demand ride-hailing platforms, such as Uber and Didi, which allow passengers with smartphones to submit trip requests and match them to drivers based on their locations and drivers’ availability. This increased demand has raised questions about how such a new matching mechanism will affect the efficiency of the transportation system—in particular, whether it will help reduce passengers’ average waiting time compared with traditional street-hailing systems. Academic/practical relevance: The on-demand ride-hailing problem has gained much academic interest recently. The results we find in the ride-hailing system have a significant deviation from classic queueing theory where en route time does not play a role. Methodology: In this paper, we shed light on this question by building a stylized model of a circular road and comparing the average waiting times of passengers under various matching mechanisms. Results: We discover the inefficiency in the on-demand ride-hailing system when the en route time is long, which may result in nonmonotonicity of passengers’ average waiting time as the passenger arrival rate increases. After identifying key trade-offs between different mechanisms, we find that the on-demand matching mechanism could result in lower efficiency than the traditional street-hailing mechanism when the system utilization level is medium and the road length is long. Managerial implications: To overcome the disadvantage of both systems, we further propose adding response caps to the on-demand ride-hailing mechanism and develop a heuristic method to calculate a near-optimal cap. We also examine the impact of passenger abandonments, idle time strategies of taxis, and traffic congestion on the performance of the ride-hailing systems. The results of this research would be instrumental for understanding the trade-offs of the new service paradigm and thus enable policy makers to make more informed decisions when enacting regulations for this emerging service paradigm.

An Analytical Modeling and Performance Analysis of Graded Work Function Gate Recessed Channel SOI-MOSFET

2019 ◽  
Vol 9 (4) ◽  
pp. 504-511
Author(s):  
Sikha Mishra ◽  
Urmila Bhanja ◽  
Guru Prasad Mishra
Keyword(s):  
Analytical Model ◽  
Surface Potential ◽  
Threshold Voltage ◽  
Silicon On Insulator ◽  
Junction Depth ◽  
Short Channel ◽  
Soi Mosfet ◽  
Minimum Surface ◽  
Recessed Channel ◽  
The Impact

Introduction: A new analytical model is designed for Workfunction Modulated Rectangular Recessed Channel-Silicon On Insulator (WMRRC-SOI) MOSFET that considers the concept of groove gate and implements an idea of workfunction engineering. Methods: The impact of Negative Junction Depth (NJD) and oxide thickness (tox) are analyzed on device performances such as Sub-threshold Slope (SS), Drain Induced Barrier Lowering (DIBL) and threshold voltage. Results: The results of the proposed work are evaluated with the Rectangular Recessed Channel-Silicon On Insulator (RRC-SOI) MOSFET keeping the metal workfunction constant throughout the gate region. Furthermore, an analytical model is developed using 2D Poisson’s equation and threshold voltage is estimated in terms of minimum surface potential. Conclusion: In this work, the impact of Negative Junction Depth (NJD) on minimum surface potential and the drain current are also evaluated. It is observed from the analysis that the analog switching performance of WMRRC-SOI MOSFET surpasses RRC-SOI MOSFET in terms of better driving capability, high Ion/Ioff ratio, minimized Short Channel Effects (SCEs) and hot carrier immunity. Results are simulated using 2D Sentaurus TCAD simulator for validation of the proposed structure.

scholarly journals The Impact of Longer Consultation Time: A Simulation-Based Approach

2020 ◽  
Vol 11 (05) ◽  
pp. 857-864
Author(s):  
Abdulrahman M. Jabour
Keyword(s):  
Waiting Time ◽  
Quality Care ◽  
Working Hours ◽  
Discrete Events ◽  
Simulation Based ◽  
Patient Waiting Time ◽  
Free Environment ◽  
The Impact ◽  
Consultation Time ◽  
Patient Waiting

Abstract Background Maintaining a sufficient consultation length in primary health care (PHC) is a fundamental part of providing quality care that results in patient safety and satisfaction. Many facilities have limited capacity and increasing consultation time could result in a longer waiting time for patients and longer working hours for physicians. The use of simulation can be practical for quantifying the impact of workflow scenarios and guide the decision-making. Objective To examine the impact of increasing consultation time on patient waiting time and physician working hours. Methods Using discrete events simulation, we modeled the existing workflow and tested five different scenarios with a longer consultation time. In each scenario, we examined the impact of consultation time on patient waiting time, physician hours, and rate of staff utilization. Results At baseline scenarios (5-minute consultation time), the average waiting time was 9.87 minutes and gradually increased to 89.93 minutes in scenario five (10 minutes consultation time). However, the impact of increasing consultation time on patients waiting time did not impact all patients evenly where patients who arrive later tend to wait longer. Scenarios with a longer consultation time were more sensitive to the patients' order of arrival than those with a shorter consultation time. Conclusion By using simulation, we assessed the impact of increasing the consultation time in a risk-free environment. The increase in patients waiting time was somewhat gradual, and patients who arrive later in the day are more likely to wait longer than those who arrive earlier in the day. Increasing consultation time was more sensitive to the patients' order of arrival than those with a shorter consultation time.

scholarly journals Model of thermal buoyancy in cavity-ventilated roof constructions

2021 ◽  
pp. 174425912098418
Author(s):  
Toivo Säwén ◽  
Martina Stockhaus ◽  
Carl-Eric Hagentoft ◽  
Nora Schjøth Bunkholt ◽  
Paula Wahlgren
Keyword(s):  
Analytical Model ◽  
Flow Rate ◽  
Numerical Study ◽  
Air Flow ◽  
Wind Pressure ◽  
Air Flow Rate ◽  
Test Set ◽  
Air Cavity ◽  
Thermal Buoyancy ◽  
The Impact

Timber roof constructions are commonly ventilated through an air cavity beneath the roof sheathing in order to remove heat and moisture from the construction. The driving forces for this ventilation are wind pressure and thermal buoyancy. The wind driven ventilation has been studied extensively, while models for predicting buoyant flow are less developed. In the present study, a novel analytical model is presented to predict the air flow caused by thermal buoyancy in a ventilated roof construction. The model provides means to calculate the cavity Rayleigh number for the roof construction, which is then correlated with the air flow rate. The model predictions are compared to the results of an experimental and a numerical study examining the effect of different cavity designs and inclinations on the air flow rate in a ventilated roof subjected to varying heat loads. Over 80 different test set-ups, the analytical model was found to replicate both experimental and numerical results within an acceptable margin. The effect of an increased total roof height, air cavity height and solar heat load for a given construction is an increased air flow rate through the air cavity. On average, the analytical model predicts a 3% higher air flow rate than found in the numerical study, and a 20% lower air flow rate than found in the experimental study, for comparable test set-ups. The model provided can be used to predict the air flow rate in cavities of varying design, and to quantify the impact of suggested roof design changes. The result can be used as a basis for estimating the moisture safety of a roof construction.

The Impact of Duplicate Orders on Demand Estimation and Capacity Investment

2005 ◽  
Vol 51 (10) ◽  
pp. 1505-1518 ◽  
Author(s):  
Mor Armony ◽  
Erica L. Plambeck
Keyword(s):  
Demand Estimation ◽  
Capacity Investment ◽  
On Demand ◽  
The Impact

The impact of the COVID-19 pandemic on demand for emergency ambulances in Victoria, Australia

2021 ◽  
pp. 1-8
Author(s):  
Emily Andrew ◽  
Ziad Nehme ◽  
Michael Stephenson ◽  
Tony Walker ◽  
Karen Smith
Keyword(s):  
On Demand ◽  
The Impact

scholarly journals System capacity improvement by on demand channel allocation in Femto and macro cell networks

2018 ◽  
Vol 7 (1.9) ◽  
pp. 242
Author(s):  
S. Bharagavi ◽  
Banuprathap Pv
Keyword(s):  
Channel Allocation ◽  
System Capacity ◽  
On Demand ◽  
Macro Cell ◽  
System A ◽  
Real Cell ◽  
Capacity Improvement ◽  
The Impact ◽  
Cell Networks ◽  
Cell Base

Entire arrangement progress femtocells characterize a right likely response to the constantly increasing transmission constrain demand of adaptable areas. They could be clearly passed on without requesting a focal expecting to pass on the high information speed orchestrate through aim perfect scope. The Femtocells are low power, actuallesser and cost in real cell base district utilized in the inside condition. Regardless, the impact of the Femtocells is the introduction of the straight Macrocell structure indications impediment issue among the Femtocells also earlier Macrocellsby strategy for they can part of the similar approved rehash run. The Frequency Reuse is a centrality of sending the rehash supply distribution upon station's place to recuperate framework limit. This paper, a fit strategy to develop structure restrict through inter vent ionorganization in the current Femto Macro 2layer systems has been planned. In the planned system, a original rehash saving for 2layersthe cell organizes by systems for rehash reuse technique is utilized wherever Macro base placesallot rehash sub-groups portrayed out for the Femtocells operators on demand based one the Femtocells base places toward stop impedance.

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