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The need to better understand how to manage the real logistics operations in Schiphol Airport, a strategic hub for the economic development of the Netherlands, created the conditions to develop a project where academia and industry partnered to build a simulation model of the Schiphol Airport Landside operations. This paper presents such a model using discrete-event simulation. A realistic representation of the open road network of the airport as well as the (un)loading dock capacities and locations of the five ground handlers of Schiphol Airport was developed. Furthermore, to provide practitioners with applicable consolidation and truck-dispatching policies, some easy-to-implement rules are proposed and implemented in the model. Preliminary results from this model show that truck-dispatching policies have a higher impact than consolidation policies in terms of both distance travelled by cooperative logistic operators working within the airport and shipments’ average flow time. Furthermore, the approach presented in this study can be used for studying similar megahubs.
The objective of this research is to advice the Municipality of The Hague whether, if and under which conditions, the implementation of an Urban Consolidation Centre (UCC) is possible and desirable. To determine factors that caused the success or failure of UCCs in practice, a survey of 6 cases in Europe is conducted. The cases were selected because of the similarity of the service area of the UCC and the city centre of The Hague or because of the uniqueness of the UCC. To determine the possible success for a UCC in The Hague four scenarios are evaluated. Two major difficulties with implementing the UCC are the allocation of the costs and benefits and the willingness to cooperate of the transportation companies. Both consignees and transportation companies can benefit financially from using the UCC. The UCC operator, however, incurs the costs. The municipality should play a role in bringing the costs and benefits together. © 2010 Elsevier Ltd. All rights reserved.
Our country contains a very dense and challenging transport and mobility system. National research agendas and roadmaps of multiple sectors such as HTSM, Logistics and Agri&food, promote vehicle automation as a means to increase transport safety and efficiency. SMEs applying vehicle automation require compliance to application/sector specific standards and legislation. A key aspect is the safety of the automated vehicle within its design domain, to be proven by manufacturers and assessed by authorities. The various standards and procedures show many similarities but also lead to significant differences in application experience and available safety related solutions. For example: Industrial AGVs (Automated Guided Vehicles) have been around for many years, while autonomous road vehicles are only found in limited testing environments and pilots. Companies are confronted with an increasing need to cover multiple application environments, such restricted areas and public roads, leading to complex technical choices and parallel certification/homologation procedures. SafeCLAI addresses this challenge by developing a framework for a generic safety layer in the control of autonomous vehicles that can be re-used in different applications across sectors. This is done by extensive consolidation and application of cross-sectoral knowledge and experience – including analysis of related standards and procedures. The framework promises shorter development times and enables more efficient assessment procedures. SafeCLAI will focus on low-speed applications since they are most wanted and technically best feasible. Nevertheless, higher speed aspects will be considered to allow for future extension. SafeCLAI will practically validate (parts) of the foreseen safety layer and publish the foreseen framework as a baseline for future R&D, allowing coverage of broader design domains. SafeCLAI will disseminate the results in the Dutch arena of autonomous vehicle development and application, and also integrate the project learnings into educational modules.
1. Evaluate priority incentive electrical taxis: Bji het Centraal Station is reeds een voorrangsincentive voor elektrische taxis ingesteld. Gedurende deze case zullen we het effect de huidige regeling toetsen en nagaan wat het effect is op kosten en baten alsmede business case van de e-taxi. Daarnaast zal een technische ontwerpstudie van een dergelijke standplaats onderdeel van dit subproject zijn. 2. Strategic placement of (semi) public charge infra in ArenA Area: In deze case wordt onderzocht op welke manier de laadpalen kunnen bijdragen aan het reguleren van verkeer richting de ArenA en waar deze laadpalen gepositioneerd dienen te worden. 3. Consolidation of city logistics at ArenA Area; In deze case wordt de haalbaarheid onderzocht van incentives op logistieke dienstverleners. Bij welke incentives is het voor vervoerders interessant om over te stappen op elektrisch vervoer? 4. Pilot incentive exemption from parking tax: Hierbij wordt de prijsprikkel “ontheffing van parkeerbelasting”, die de gemeente Amsterdam wil inzetten ter bevordering van e-taxis, onderzocht en gemonitord, waarbij kosten en baten worden vergeleken. 5. Determine hotspot location for e-taxi’s: Incentive-beschikbaarheid- Bepaling van meest kansrijke en faciliterende laadlocaties op basis van ritgegevens van taxi's (hotspot) inclusief vaststelling van eisen/wensen voor de laadfaciliteiten (e.g. (snel)laders) inclusief monitoring van het gebruik na plaatsing.
