Abstract

International audience; The development of renewable marine energies has its origin in the United Nations' Framework Convention on Climate Change, adopted on 9 May 1992, and in the additional protocol, adopted in 1997 in Kyoto. Although, for many years, the French legal system did not consider the specificities of ocean renewable energies, the French government now seems to have become aware of the importance of establishing an adapted legal framework. The boom of marine renewable energies is the result of proactive policies from a French nation that seeks to meet its international and European commitments. The French policy makes use of legal instruments that ensure programming and planning. The economic activities in the field of marine renewable energies make up a market to which access is regulated. This requires administrative procedures which are as varied as they are complex. © ISTE Ltd 2015. All rights reserved.

Abstract

Navigation canals are used for transport purposes. In order to allow safe navigation the water level should be kept in a certain range around the Normal Navigation Level (NNL). The water level is disturbed by known and unknown inputs, like tributaries, municipal water flows, rain, etc. Some of these inputs can be used to control the water level. If the geometry requires it, canal reaches are connected by locks. The operation of these locks sometimes can disturb the water level, if the difference between the upstream and downstream water level is large. The objective is to minimize the disturbances caused by these lock operations on the water level in order to maintain the NNL. In this work the global management of the canal reach is discussed and an option to maintain the NNL by active control is introduced. Some inputs to the system, such as other confluences or gates on the side of the locks, can be controlled automatically to react to the disturbances caused by the lock operations using model predictive control to maintain the desired water level.

Abstract

This paper proposes a collaborative air traffic flow management (ATFM) framework, in the scope of trajectory based operations, aiming to improve the cost-efficiency for airspace users (AUs) when facing ATFM regulations. The framework consists of four modules. The first one involves the AUs initially scheduling their preferred trajectories for all their flights. Based on this initial demand, the second module (assumed to be on the Network Manager -NM- side) detects time-varying hotspots (i.e. overloaded sectors along the day). In the third module, hotspot information is shared back to the AUs who plan alternative trajectory options to avoid crossing these congested airspace volumes (in the lateral and vertical domain); as well as providing to the NM different pre-tactical delay management preferences (including ground holding, linear holding, air holding and pre-tactical delay recovery); based on their internal cost breakdown structures. Incorporating all these potential combined options, the last module computes the best trajectory selections and the optimal distribution of delay assignments, such that the cost deviation from the initial status (all the user-preferred trajectories) is minimized. This model is formulated as mixed integer linear programming (MILP) and validated by a real-world case study focused on 24 h of traffic over the French airspace. Results using the proposed framework suggest a significant system delay reduction by nearly 97% over the existing method, whilst yielding an average of less than 100 kg extra fuel consumption and 50 Euro extra route charges for the 11% flights diverted to their alternative trajectories. Peer Reviewed

Abstract

LIKE many complex and time-critical domains, air traffic control (ATC) is facing a fundamental modernization that builds on the use of more advanced automation (represented by SESAR in Europe and NextGen in the United States). The current function allocation-based relationship between controller and machine is envisioned to evolve to a more fluid, continuous and mutually coordinated team relationship. Consequently, the controller is expected to assume a supervisory and monitoring role, while relinquishing much of the tactical “hands-on” tasks to automation. ATC automation, in turn, is expected to grow in intelligence and its cognitive abilities to become more of a team member providing decision support and acting more autonomously. In association to these changes, one of the most pressing human factors challenges is how we can design automation that is embraced, accepted and trusted by the controller...

Abstract

LIKE many complex and time-critical domains, air traffic control (ATC) is facing a fundamental modernization that builds on the use of more advanced automation (represented by SESAR in Europe and NextGen in the United States). The current function allocation-based relationship between controller and machine is envisioned to evolve to a more fluid, continuous and mutually coordinated team relationship. Consequently, the controller is expected to assume a supervisory and monitoring role, while relinquishing much of the tactical “hands-on” tasks to automation. ATC automation, in turn, is expected to grow in intelligence and its cognitive abilities to become more of a team member providing decision support and acting more autonomously. In association to these changes, one of the most pressing human factors challenges is how we can design automation that is embraced, accepted and trusted by the controller...

Abstract

SUMMARY As a multi-criteria decision-making (MCDM) method, the analytic hierarchy process (AHP) has been used considerably to solve hierarchical or network-based decision problems in socio-economic fields. Following an in-depth explanation of the transport function in logistics and an overview of the MCDM methods, the AHP model is employed in the paper for a logistics company in selecting the most suitable way of transportation between two given locations in Turkey. The criteria used in the selection of transportation modes are identified as the cost, speed, safety, accessibility, reliability, environmental friendliness, and flexibility. Several cost parameters (transportation, storage, handling, bosphorus crossover) are incorporated into the decision-making process. The application is carried out in instructional character. The results of the study indicate that the railway transportation, which is not widely used in Turkey, is also an alternative and suitable means of transportation. Copyright © 2013 John Wiley & Sons, Ltd.

Abstract

Sweden is a geographically large and sparsely populated country, with a need for road transport for individuals as well as for logistics. Domestic road transport largely contributes to air pollutions, where passenger cars account for the largest share. Looking ahead, the present rate of reduction of emissions is not enough to reach the climate targets of a fossil free transport sector.  Electric road system (ERS) has emerged to deal with drawbacks of electric vehicles. Several solutions are being evaluated at demonstration projects. Until now, ERS is mainly associated with heavy vehicles and the relation to passenger cars is not as clear, where this study explores the social advantages of ERS and passenger cars.  A case study is conducted, where an ERS implementation between Helsingborg and Malmö as part of the European route E6 in Sweden is modelled. The NPV with an economic lifespan of 20 years and an interest rate of 3.5 percent amounts to 350 MSEK, considered as high profitable. The CO2 emissions of the studied system would be reduced by 102 000 tonnes CO2, corresponding to a decrease of about 60 percent. Looking at the studied system, heavy trucks are contributing to the most impact. Nevertheless, there is great potential for passenger cars utilising ERS to decrease their emissions and fuel costs.  Several semi-structured interviews have been conducted to highlight the prevailing views of ERS and passenger cars and the impact of cost-benefit analysis (CBA) for decision-making of transport investments. Several diverse views of ERS and passenger cars exist. ERS is a large investment, where the main need is among heavy vehicles. However, the profitability would increase as the amount of vehicles utilising ERS increases. In a future road transport system, it is possible that several technologies such as ERS, fast chargers and autonomous vehicles could be utilised simultaneous, and complete each other rather than being substitutes. It is conceivable that ERS is planned out of the needs of heavy vehicles, where passenger cars might benefit of the system as well. More passenger cars would likely utilise ERS as it is implemented to a greater extent.  Further, CBA could provide a perception of the investment. However, it does not ensure that the projects are performed or chosen out of highest NPV, since several aspects besides the profitability are considered. Available information of ERS for CBA is yet limited and more data, such as effect relations is needed to facilitate well-founded decisions. In the future, it is likely that CBA of transport investments would become more complex, where several technologies would be considered. The transport sector will most likely alter, and existing assessment methods will presumably be adjusted in line with this. Sverige är ett geografiskt stort och glesbefolkat land med ett stort behov av vägtransporter för såväl privatpersoner som för logistik. Inrikes vägtransport bidrar i stor utsträckning till luftföroreningar, där personbilar står för den största andelen av utsläppen. Den nuvarande minskningstakten av utsläpp är inte tillräcklig för att nå klimatmålen om en fossilfri transportsektor.  Elvägar (ERS) har utvecklats för att hantera utmaningar med elfordon. Flera lösningar av teknologin testas vid demonstrationsprojekt och hittills är ERS främst förknippat med tunga fordon. Dock är relationen till personbilar inte lika tydlig, där denna studie undersöker de samhälleliga fördelarna med ERS relaterat till personbilar.  En fallstudie har genomförts, där en installation av ERS mellan Helsingborg och Malmö som en del av E6 i Sverige modelleras. Nettonuvärdet med en ekonomisk livslängd på 20 år och en internränta om 3,5 procent uppgår till 350 MSEK, vilket betraktas som hög lönsam. Koldioxidutsläppen från det studerade systemet skulle minskas med 102 000 ton CO2, vilket motsvarar en minskning med drygt 60 procent. Utifrån det studerade systemet bidrar tunga lastbilar till den största inverkan. Likväl finns stor potential för personbilar att nyttja den installerade elvägen för att minska sina utsläpp och bränslekostnader.  Flera semistrukturerade intervjuer har genomförts för att lyfta fram de rådande synsätten på ERS och personbilar och effekterna av samhällsekonomiska analyser (CBA) vid beslutsfattande av transportinvesteringar. Det finns flera olika synsätt på ERS relaterat till personbilar. ERS är en stor investering, där det största behovet finns bland tunga fordon. Emellertid ökar lönsamheten med antalet fordon som använder systemet. I ett framtida vägtransportsystem är det möjligt att flera teknologier såsom ERS, snabbladdning av elbilar och autonoma fordon utnyttjas samtidigt och används som komplement istället för att ersätta varandra. Det är tänkbart att ERS planeras och installeras utifrån behoven hos tunga fordon, där även personbilar kan dra fördel av systemet. Dessutom är det sannolikt att fler personbilar skulle utnyttja ERS allteftersom det installeras i större utsträckning.  Vidare kan CBA ge en uppfattning om investeringen. Det säkerställer dock inte att projekten genomförs eller väljs utifrån högsta nettonuvärde, eftersom flera aspekter utöver lönsamheten beaktas. Tillgänglig information om ERS för CBA är ännu begränsad och mer data såsom effektsamband behövs för att säkerställa välgrundade beslut. I framtiden är det troligt att CBA av transportinvesteringar blir mer komplexa, där flera tekniker behöver beaktas. Transportsektorn kommer sannolikt att förändras, och befintliga bedömningsmetoder kommer förmodligen att anpassas i linje med detta.