Development of a Congestion Management System Methodology for the Indiana State Highway Network

2002 ◽  
Vol 1781 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Kasem Choocharukul ◽  
Kumares C. Sinha ◽  
John L. Nagle
Keyword(s):  
Operating Cost ◽  
Cost Savings ◽  
Congestion Management ◽  
Incident Management ◽  
Signal Coordination ◽  
State Highway ◽  
Planning Project ◽  
Highway Network ◽  
Travel Time Savings ◽  
The Impact

A methodology for developing congestion management–related projects for the Indiana state highway network is described. The methodology is based on a sketch planning analysis technique that can be used with limited input data. The software package provides estimates of costs and other effects of potential congestion mitigation projects to undertake in a given year, which can be used by planners and programmers in long-range planning. Project types include road widening, high-occupancy-vehicle facilities, ramp metering, incident management, and arterial traffic signal coordination. The impact is assessed in travel time savings, vehicle operating cost savings, crash cost savings, and emission reductions. An example application of the methodology is given for the 7.81-mi segment of I-65 between Interchanges 116 and 123 in the Indianapolis area.

scholarly journals A Framework for Determining Highway Truck-Freight Benefits and Economic Impacts

2013 ◽  
Author(s):  
Zun Wang ◽  
Jeremy Sage ◽  
Anne Goodchild ◽  
Eric Jessup ◽  
Kenneth Casavant ◽  
...  
Keyword(s):  
Computable General Equilibrium ◽  
Travel Demand ◽  
Economic Impacts ◽  
Operating Cost ◽  
Cost Savings ◽  
State Highway ◽  
Transportation Projects ◽  
Demand Models ◽  
Travel Time Savings

This paper proposes a method for calculating both the direct freight benefits and the larger economic impacts of transportation projects. The identified direct freight benefits included in the methodology are travel time savings, operating cost savings, and environmental impacts. These are estimated using regional travel demand models (TDM) and additional factors. Economic impacts are estimated using a regional Computable General Equilibrium (CGE) model. The total project impacts are estimated combining the outputs of the transportation model and an economic model. A Washington State highway widening project is used as a case study to demonstrate the method. The proposed method is transparent and can be used to identify freight specific benefits and generated impacts.

scholarly journals A Deep Learning-Based Fault Detection Model for Optimization of Shipping Operations and Enhancement of Maritime Safety

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5658
Author(s):  
Panayiotis Theodoropoulos ◽  
Christos C. Spandonidis ◽  
Fotis Giannopoulos ◽  
Spilios Fassois
Keyword(s):  
Condition Monitoring ◽  
Continuous Process ◽  
Operating Cost ◽  
Essential Element ◽  
Cost Savings ◽  
Process Improvements ◽  
Detection Model ◽  
Efficiency Increase ◽  
Marine Engineering ◽  
The Impact

The ability to exploit data for obtaining useful and actionable information and for providing insights is an essential element for continuous process improvements. Recognizing the value of data as an asset, marine engineering puts data considerations at the core of system design. Used wisely, data can help the shipping sector to achieve operating cost savings and efficiency increase, higher safety, wellness of crew rates, and enhanced environmental protection and security of assets. The main goal of this study is to develop a methodology able to harmonize data collected from various sensors onboard and to implement a scalable and responsible artificial intelligence framework, to recognize patterns that indicate early signs of defective behavior in the operational state of the vessel. Specifically, the methodology examined in the present study is based on a 1D Convolutional Neural Network (CNN) being fed time series directly from the available dataset. For this endeavor, the dataset undergoes a preprocessing procedure. Aspiring to determine the effect of the parameters composing the networks and the values that ensure the best performance, a parametric inquiry is presented, determining the impact of the input period and the degree of degradation that our models identify adequately. The results provide an insightful picture of the applicability of 1D-CNN models in performing condition monitoring in ships, which is not thoroughly examined in the maritime sector for condition monitoring. The data modeling along with the development of the neural networks was undertaken with the Python programming language.

Towards a methodology for new technologies assessment in aircraft operating cost

2020 ◽  
pp. 095441002096467
Author(s):  
Valeria Vercella ◽  
Marco Fioriti ◽  
Nicole Viola
Keyword(s):  
New Technologies ◽  
Cost Model ◽  
Operating Cost ◽  
Cost Savings ◽  
Aircraft Design ◽  
Maintenance Costs ◽  
Direct Operating Cost ◽  
The Individual ◽  
Technological Improvements ◽  
The Impact

The need for a greener and competitive aircraft is leading to the use of new technologies. A thorough assessment of these technologies is mandatory from the initial phases of aircraft design to understand their feasibility and to select the most promising one both in terms of performances and in terms of costs. This paper proposes a methodology to assess the operating cost of innovative technologies for regional aircraft. In particular, two NASA studies have been adopted to determine the impact onto costs of MEA and AEA technologies and advanced ECS solutions for two innovative regional aircraft concepts developed during the European Clean Sky 2 research. The proposed methodology is able to assess the effect of on-board systems electrification level in terms of fuel and maintenance costs savings. The methodology, which allows to evaluate the effect of specific technological improvements onto costs, is applied exploiting the results provided by a reliable cost model and gives the opportunity to quantify operating cost savings for different regional aircraft. Applying the modified cost model to the reference aircraft under study, savings ranging from 1.6 to 3.1% of direct operating cost are estimated for MEA and AEA technologies. Greater savings are estimated for the individual cost items involved. More specifically, a reduction of fuel cost ranging from 6 to 14.5% is envisaged as a consequence of the lower SFC associated to innovative ECS technologies.

Line haul transport cost and pavement damage characteristics of some Ontario trucks

1990 ◽  
Vol 17 (1) ◽  
pp. 28-35 ◽  
Author(s):  
B. G. Hutchinson ◽  
J. J. L. Mallett
Keyword(s):  
Operating Cost ◽  
Cost Savings ◽  
Transportation Cost ◽  
Theoretical Models ◽  
Transportation Costs ◽  
Transport Cost ◽  
Public And Private ◽  
Damage Costs ◽  
Pavement Damage ◽  
The Impact

The factors contributing to the line haul transportation costs of very large trucks operating on the Ontario highway system are calculated from fundamental tractive resistance equations and tractive effort characteristics for two "weigh-out" commodity types and representative haul routes. These calculated costs are compared with some observed costs and earlier analyses to check the validity of the models. The theoretical models are then used to assess the impact on operating costs of a variety of truck parameters which include truck type and tire pressures. The pavement damage created by the different truck types are estimated and the damage costs compared with the savings in line haul transportation costs. It is concluded that the pavement damage impacts of different truck types should be carefully compared with potential line haul transportation cost savings to ensure that allowable truck configurations are economically efficient with respect to both public and private costs. Key words: highway engineering, pavement damage, pavement cost, truck operating cost, vehicle weights.

Parametric Study of a Simplified Ice Storage Model Operating Under Conventional and Optimal Control Strategies

Solar Energy ◽  
2002 ◽  
Author(s):  
Gregor P. Henze
Keyword(s):  
Optimal Control ◽  
Control Strategies ◽  
Storage System ◽  
Operating Cost ◽  
Load Forecasting ◽  
Cost Savings ◽  
Ice Storage ◽  
Storage Losses ◽  
Constant Proportion ◽  
The Impact

A simplified ice storage system model was developed in which the icemaking mode is reflected by a higher power consumption per unit cooling than in chilled-water mode. The performance of four control strategies for ice storage systems is evaluated. The four control strategies investigated are chiller-priority and constant-proportion as conventional, instantaneous controls, while storage-priority and optimal control represent sophisticated controls employing load forecasting. Six parameters were investigated with respect to their influence on the ice storage system performance: Storage losses, utility rate structures, rate periods, penalty for icemaking, storage capacity, and the impact of load forecasting. Optimal control was determined to provide maximal operating cost savings. The storage-priority control yields operating costs only slightly higher than those of optimal control. Chiller-priority control realized savings that were typically on the order of 50% of what is theoretically possible (optimal control). Constant-proportion control proved to be a simple control strategy yielding higher savings than chiller-priority, yet lower than storage-priority control.

Design Considerations for Minienvironment Cleanrooms (Issues, Options, and Concepts)

1994 ◽  
Vol 37 (6) ◽  
pp. 41-43
Author(s):  
Charles Lynn
Keyword(s):  
Case Studies ◽  
Operating Cost ◽  
Cost Savings ◽  
Facility Design ◽  
Design Considerations ◽  
The Impact

Many new cleanroom facilities are being designed and constructed using various minienvironment concepts. This paper presents facility concepts that are being implemented today and those that will be implemented in future construction. The author will present factors and issues that lead owners to the decision to use minienvironments. Also included is the impact of the decision on facility design. A comparison of various designs (including first cost and operating cost) will be presented. Case studies will show the advantages of implementing minienvironments, flexibility issues, and how to best take advantage of the potential operating cost savings.

Parametric Study of a Simplified Ice Storage Model Operating Under Conventional and Optimal Control Strategies*

2003 ◽  
Vol 125 (1) ◽  
pp. 2-12 ◽  
Author(s):  
Gregor P. Henze
Keyword(s):  
Optimal Control ◽  
Control Strategies ◽  
Storage System ◽  
Operating Cost ◽  
Load Forecasting ◽  
Cost Savings ◽  
Ice Storage ◽  
Storage Losses ◽  
Constant Proportion ◽  
The Impact

A simplified ice storage system model was developed in which the icemaking mode is reflected by a higher power consumption per unit cooling than in chilled-water mode. The performance of four control strategies for ice storage systems is evaluated. The four control strategies investigated are chiller-priority and constant-proportion as conventional, instantaneous controls, while storage-priority and optimal control represent sophisticated controls employing load forecasting. Six parameters were investigated with respect to their influence on the ice storage system performance: Storage losses, utility rate structures, rate periods, penalty for icemaking, storage capacity, and the impact of load forecasting. Optimal control was determined to provide maximal operating cost savings. The storage-priority control yields operating costs only slightly higher than those of optimal control. Chiller-priority control realized savings that were typically on the order of 50% of what is theoretically possible (optimal control). Constant-proportion control proved to be a simple control strategy yielding higher savings than chiller-priority, yet lower than storage-priority control.

The Impact of E-Procurement Systems in the Biomedical Industry

2020 ◽  
Vol 27 (2) ◽  
pp. 66
Author(s):  
A. Seetharaman ◽  
Nitin Patwa ◽  
Simon Lai Koek Wai ◽  
Ahammed Shamir
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
The Internet ◽  
Business Analytics ◽  
Process Automation ◽  
Short Term ◽  
Compliance Cost ◽  
Biomedical Industry ◽  
The Impact

The evolution of the Internet has revolutionised the sourcing and procurement processes in organisations in every industry. The focus of this paper is to analyse the perception of business users on the factors which impact the usage of eprocurement systems in the biomedical industry. There are four factors identified in this research: i.e. control and compliance, cost savings, process automation, and improvements and transparency. The benefit of achieving process automation is the first biggest factor, followed by the need for control and compliance, and transparency, being the second and third factors respectively. The fourth factor, cost savings, is ignored because the users perceived that cost savings will not be realised in the short term, and the returns from the investment could be a couple of years after the eprocurement system has been fully operational. The research also concludes that the ability to perform business analytics and to strengthen the supply chain are the most important factors in measuring the success in the adoption of e-procurement systems

Yoga as an Innovative Solution for Financial Growth of Companies

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Ipseeta Satpathy ◽  
B. Chandra Mohan Patnaik ◽  
Chandrabhanu Das
Keyword(s):  
Inventory Management ◽  
Internal Control ◽  
Positive Impact ◽  
Cost Savings ◽  
Well Being ◽  
Primary Data ◽  
Financial Health ◽  
Antibiotic Drugs ◽  
Lifestyle Diseases ◽  
The Impact

The existence of Yoga dates back to more than ten thousand years around India and all nations. The Hindu Mythology considers the genesis of Yoga by incorporating Lord Shiva as Guru and Goddess Parvati as Shishya. Gradually with the development of civilization mankind assessed the benefits of this spiritual discipline and different leaders propagated the Yoga in different ways.In this era of 21st century Baba Ramdev propagated the yoga sutras with simple and effective techniques. The Pranayam and Suryanamaskar are the popular routines practiced by many followers of Baba Ramdev. Today Yoga is practiced as a way of Living to prevent Lifestyle diseases, combat stress and rejuvenate self. Yoga has gained immense popularity over the years with July 21st being celebrated as International Yoga Day. Corporate are also now introducing Yoga for employees as a means to relieve their stress and improve productivity. Long Hours of sitting, standing and excessive use of electronic gadgets puts pressure on bones, joints and responsible for Lifestyle diseases. Yoga is now increasingly used as a wellness solution replacing high cost antibiotic drugs. Employee well-being leads to Cost Savings in terms of personnel by reduced payment of Insurance and Medical Bills. The paper studies the Impact of Yoga to Financial benefits in MSME Organizations in Odisha in light of three different perspectives of Internal Control, Inventory management and Cash Flow. The primary data was collected from a sample of 155 high profile finance executives working in the MSME sector. Ranking Table and Regression Analysis Methodology was used to derive meaningful conclusions. The research takes initiative to transform the effectiveness of Yoga into improved financial health for the Organization. The observation from the study interprets a positive impact of Yoga on good financial health of Organization.

Pound Wise and Penny Foolish? Weight Loss and The Dynamics of Health Care Spending

2011 ◽  
Vol 14 (2) ◽  
Author(s):  
Thomas G Koch
Keyword(s):  
Weight Loss ◽  
Cost Savings ◽  
Cost Effective ◽  
Economic Consequences ◽  
Health Care Spending ◽  
Order Of Magnitude ◽  
Dynamic Measures ◽  
The Cost ◽  
The Impact ◽  
The Relationship

Current estimates of obesity costs ignore the impact of future weight loss and gain, and may either over or underestimate economic consequences of weight loss. In light of this, I construct static and dynamic measures of medical costs associated with body mass index (BMI), to be balanced against the cost of one-time interventions. This study finds that ignoring the implications of weight loss and gain over time overstates the medical-cost savings of such interventions by an order of magnitude. When the relationship between spending and age is allowed to vary, weight-loss attempts appear to be cost-effective starting and ending with middle age. Some interventions recently proven to decrease weight may also be cost-effective.

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