scholarly journals Dynamic Toll Prediction Using Historical Data on Toll Roads: Case Study of the I-66 Inner Beltway

2021 ◽  
pp. 100084
Author(s):  
Sara Zahedian ◽  
Amir Nohekhan ◽  
Kaveh Farokhi Sadabadi
Keyword(s):  
1994 ◽  
Vol 6 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Charles Anderson ◽  
Robert J. Morris

A case study ofa third year course in the Department of Economic and Social History in the University of Edinburgh isusedto considerandhighlightaspects of good practice in the teaching of computer-assisted historical data analysis.


2020 ◽  
Vol 6 (1) ◽  
pp. 18-39
Author(s):  
Areena Zaini ◽  
Haryantie Kamil ◽  
Mohd Yazid Abu

The Electrical & Electronic (E&E) company is one of Malaysia’s leading industries that has 24.5% in manufacturing sector production. With a continuous innovation of E&E company, the current costing being used is hardly to access the complete activities with variations required for each workstation to measure the un-used capacity in term of resources and cost. The objective of this work is to develop a new costing structure using time-driven activity-based costing (TDABC) at . This data collection was obtained at E&E company located at Kuantan, Pahang that focusing on magnetic component. The historical data was considered in 2018. TDABC is used to measure the un-used capacity by constructing the time equation and capacity cost rate. This work found three conditions of un-used capacity. Type I is pessimistic situation whereby according to winding toroid core, the un-used capacity of time and cost are -14820 hours and -MYR2.60 respectively. It means the system must sacrifice the time and cost more than actual apportionment. Type II is most likely situation whereby according to assembly process, the un-used capacity of time and cost are 7400 hours and MYR201575.45 respectively. It means the system minimize the time and cost which close to fully utilize from the actual apportionment. Type III is optimistic situation whereby according to alignment process, the un-used capacity of time and cost are 4120 hours and MYR289217.15 respectively. It means the system used small amount of cost and time from the actual apportionment.


Author(s):  
Xinning Zhu ◽  
Tianyue Sun ◽  
Hao Yuan ◽  
Zheng Hu ◽  
Jiansong Miao

Identifying group movement patterns of crowds and understanding group behaviors is valuable for urban planners, especially when the groups are special such as tourist groups. In this paper, we present a framework to discover tourist groups and investigate the tourist behaviors using mobile phone call detail records (CDRs). Unlike GPS data, CDRs are relatively poor in spatial resolution with low sampling rates, which makes it a big challenge to identify group members from thousands of tourists. Moreover, since touristic trips are not on a regular basis, no historical data of the specific group can be used to reduce the uncertainty of trajectories. To address such challenges, we propose a method called group movement pattern mining based on similarity (GMPMS) to discover tourist groups. To avoid large amounts of trajectory similarity measurements, snapshots of the trajectories are firstly generated to extract candidate groups containing co-occurring tourists. Then, considering that different groups may follow the same itineraries, additional traveling behavioral features are defined to identify the group members. Finally, with Hainan province as an example, we provide a number of interesting insights of travel behaviors of group tours as well as individual tours, which will be helpful for tourism planning and management.


2017 ◽  
Vol 21 (2) ◽  
pp. 317-340 ◽  
Author(s):  
HENDRIK DE SMET ◽  
FREEK VAN DE VELDE

While it is undoubtedly true that historical data do not lend themselves well to the reproduction of experimental findings, the availability of increasingly extensive data sets has brought some experimenting within practical reach. This means that certain predictions based on a combination of synchronic observations and uniformitarian thinking are now testable. Synchronic evidence shows a negative correlation between analysability in morphologically complex words and various measures of frequency. It is therefore expected that when the frequency of morphologically complex items changes, their analysability will change along with this. If analysability decreases, this should in turn be reflected in decreasing sensitivity to priming by items with analogous composition. The latter prediction is in principle testable on diachronic data, offering a way of verifying the diachronic effect of frequency change on analysability. In this spirit, the present article examines the relation between changing frequency and priming sensitivity, as a proxy to analysability. This is done for a sample of 250 English ly-adverbs, such as roughly, blindly, publicly, etc. over the period 1950–2005, using data from the Hansard Corpus. Some of the expected relations between frequency and analysability can be shown to hold, albeit with great variation across lexical items. At the same time, much of the variation in our measure of analysability cannot be accounted for by frequency or frequency change alone.


2021 ◽  
pp. 1-67
Author(s):  
Lara Qasim ◽  
Andreas Hein ◽  
Sorin Olaru ◽  
Jean-Luc Garnier ◽  
Marija Jankovic

Abstract System Reconfiguration is essential in complex systems management, as it is an enabler of system adaptability with regard to system evolutions. System evolutions have to be managed to ensure system effectiveness and efficiency through its whole life cycle, particularly when it comes to complex systems that take years of development and dozens of years of usage. In this context, system reconfiguration ensures system operation and maintains system “ilities” (e.g., reliability, availability, maintainability, testability, and safety). This research has been conducted in the context of a large international aerospace, space, ground transportation, defense, and security company. This research aims at supporting system reconfiguration during operations. Within current industrial practices, the development of reconfiguration support is challenging as it requires integrating data related to observations (from operations) and system design (from engineering). More specifically, there is a need to integrate and link relevant reconfiguration data concerning the system objectives, operational context, and level of functioning. This paper proposes integrating and linking this fundamental data within a reconfiguration method. MBSysRec is a multidisciplinary method that involves configuration generation and a multi-criteria decision-making method for configuration evaluation and selection to support system reconfiguration during operations. The method has been implemented on two projects based on historical data. Resulting configurations have been discussed and assessed by system reconfiguration experts. A SAR case study is used to demonstrate the method. The method is proven effective for finding relevant system configurations for reconfiguring the already deployed system to achieve search and rescue missions.


Resources ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 45
Author(s):  
Chad Hargrave ◽  
Paul McPhee

This paper describes the development and successful implementation of a system designed to detect coal deposits remaining in coal train wagons after unloading (dumping). These undesirable coal deposits constitute both small residual amounts of “carryback”, but also larger “hang-ups” of significant volume that have failed to discharge. The system was originally developed simply to detect and record volumes of carryback, as part of an effort to characterise the extent of the problem for the coal transport industry, but was then enhanced to provide real-time feedback of large hang-ups so that they could be discharged prior to the wagons exiting the dump station. The paper describes the hardware and processing systems used in the system, including the different strategies employed to ensure a reliable detection system. The system has now been installed and operated in a production environment at three dump stations across two different coal terminals, and a case study of the results from one of these dump stations is presented. Automating remnant coal detection at dump stations provides short interval control to minimise potential hazards and downtime, and historical data that may be integrated into existing data platforms and analysed for productivity, environmental, and safety planning insights.


2004 ◽  
Vol 37 (2) ◽  
pp. 167-191 ◽  
Author(s):  
AGUSTÍ NIETO-GALAN

In 1915, after acquiring first-hand knowledge of the new free radical chemistry at the Swiss Federal Institute of Technology (ETH) in Zurich, Antonio García Banús (1888–1955) became professor of organic chemistry at the University of Barcelona and created his own research group, which was to last from 1915 until 1936. He was a gifted teacher and a prolific writer who attempted to introduce international scientific standards into his local environment. This paper analyses the bridges that Banús built between the experimental culture of organic chemistry at the ETH and the University of Barcelona. It presents a case study which aims to provide new historical data for the general analysis of groups who conducted their work in the European periphery.


Author(s):  
Evgeniy A. Goldis ◽  
Xiaoguang Li ◽  
Michael C. Caramanis ◽  
Aleksandr M. Rudkevich ◽  
Pablo A. Ruiz

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