scholarly journals Optimization Strategies for Dockless Bike Sharing Systems via two Algorithms of Closed Queuing Networks

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 345 ◽  
Author(s):  
Rui-Na Fan ◽  
Fan-Qi Ma ◽  
Quan-Lin Li

The dockless bike sharing system (DBSS) has been globally adopted as a sustainable transportation system. Due to the robustness and tractability of the closed queuing network (CQN), it is a well-behaved method to model DBSSs. In this paper, we view DBSSs as CQNs and use the mean value analysis (MVA) algorithm to calculate a small size DBSS and the flow equivalent server (FES) algorithm to calculate the larger size DBSS. This is the first time that the FES algorithm is used to study the DBSS, by which the CQN can be divided into different subnetworks. A parking region and its downlink roads are viewed as a subnetwork, so the computation of CQN is reduced greatly. Based on the computation results of the two algorithms, we propose two optimization functions for determining the optimal fleet size and repositioning flow, respectively. At last, we provide numerical experiments to verify the two algorithms and illustrate the optimal fleet size and repositioning flow. This computation framework can also be used to analyze other on-demand transportation networks.

SIMULATION ◽  
1999 ◽  
Vol 72 (3) ◽  
pp. 148-148 ◽  
Author(s):  
Claudio Gennaro ◽  
Peter J.B. King

Robotica ◽  
1995 ◽  
Vol 13 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Ki Dong Lee ◽  
Bum Hee Lee ◽  
Myoung Sam Ko

SummaryFor a robotic workcell with multiple robots, several interconnection methods are presented in terms of a processor-based architecture. The concept of the multiple processor system (MPS) or multiple computer system (MCS) is used to formulate and analyze the multi-robot interconnection system (MRIS). The MRIS is modelled as a queueing network, and mathematical analysis is done on the basis of modelling. Performance evaluation is achieved for the MRIS through the mean value analysis with the response time and the probability of service failure under different workloads. The results together with some comments suggest a useful guideline for a selecting an appropriate interconnection method for the MRIS subject to the system environment and application.


2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Ankit Patel

The academic achievement is correlates of Psychological variables. This research work was conducted on a sample of 350 tribal and 350 non-tribal students studying in secondary schools in PANCHMAHALS district with a view to finding out the effect of the intelligence and academic motivation on their academic achievement of the pupils in tribal secondary schools in Gujarat, India. The sample was collected from the students of non-government high schools of tribal area district who significantly differ in their intelligence and academic motivation. Desai’s verbal-non verbal group test of intelligence was administrated to the students. Academic motivation test was developed by researcher and administrated to the students.  The students’ academic achievement tool is last preliminary examination score in March, 2011. The mean value analysis of significance of the mean difference and the values were calculated, other calculated is mean value analysis of variable and F-test. The findings show that there is no significant difference in the IQ and academic motivation of standard: X students in the secondary schools of tribal area of the PANCHMAHALS district, Gujarat-India.


2021 ◽  
Vol 11 (19) ◽  
pp. 8880
Author(s):  
Bowen Guan ◽  
Cunbo Fan ◽  
Ning An ◽  
Ricardo Cesar Podesta ◽  
Dra Ana Pacheco ◽  
...  

As one of the major error sources, satellite signature effect should be reduced or even erased from the distribution of the post-fit residuals to improve the ranging precision. A simulation of satellite signature effect removal process for normal point algorithm is conducted based on a revised model of satellite response, which fully considers the structural and distribution characteristics of retroreflectors. In order to eliminate both long-term and short-term satellite signature effect, a clipping method for SLR data processing is proposed by defining the clipping location as 5.6 mm away from the mean value of the long-term fit residuals to select effective returns for normal points. The results indicate that, compared to normal points algorithm, the RMS per NP of LAGEOS-1 observation data processed by the clipping method is reduced from 62.90 ± 9.9 mm to 56.07 ± 4.69 mm, and the stability of RMS is improved 53%. This study improves the satellite signature effect model and simulates the fluctuation of normal points caused by satellite signature effect for the first time. The new method based on the simulation of satellite signature effect has stronger robustness and applicability, which can further minimize the influence of satellite signature effect on the SLR production and significantly improve the data property.


2015 ◽  
Vol 07 (01) ◽  
pp. 21-29 ◽  
Author(s):  
Faisal Shahzad ◽  
Muhammad Faheem Mushtaq ◽  
Saleem Ullah ◽  
M. Abubakar Siddique ◽  
Shahzada Khurram ◽  
...  

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