Innovative logistics service providers are currently looking for possibilities to introduce electric vehicles for goods distribution. As electrical vehicles still suffer from a limited operation range, the logistical process faces important challenges. In this research we advise on the composition of the electrical vehicle fleet and on the configuration of the service network, to achieve a successful implementation of electric vehicles in the innercity of Amsterdam. Additional question in our research is whether the CO2 emission reduces at all or might even increase due to an increase of tripkilometres as a consequence of mileage constraints by the batteries. The aim of the implementation of the research is to determine the ideal fleet to transport a known demand of cargo, located at a central depot, to a known set of recipients using vehicles of varying types. The problem can be classified as a Fleet Size and Mix Vehicle Routing Problem (FSMVRP). In addition to the regular constraints that apply to the regular FSMVRP, in our case also time windows apply to the cargo that needs to be transported (FSMVRPTW). The operation range of the vehicles is constrained by the battery capacity. We suggest modifications to existing formulations of the FSMVRPTW to make it suitable for the application on cases with electrical vehicles. We apply the model to create an optimal fleet configuration and the service routes. In our research case of the Cargohopper in Amsterdam, the performance of alternative fleet compositions is determined for a variety of scenarios, to assess their robustness. The main uncertainties addressed in the scenarios are the cargo composition, the operation range of the vehicles and their operation speed. Based on our research findings in Amsterdam we conclude that the current generation of electric vehicles as a part of urban consolidation concept have the ability to perform urban freight transport efficiently (19% reduction in vehicle kilometres) and meanwhile have the capability to improve air quality and reduce CO2-emissions by 90%, and reduce noise nuisance in the inner cities of our (future) towns.
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The paper discusses the growing importance of urban freight research given the increasing urban population trends. The complexity of urban freight systems means that it is essential for the public and private sectors to work together - one way to achieve this has been through freight partnerships. A short review of freight partnerships highlights the way in which they have fostered mutual understanding among urban freight stakeholders. The literature on shared situational awareness (SSA) and joint knowledge production (JKP) has been adapted to position freight partnerships and to further develop and link these partnerships to the concept of a living laboratory concerned with urban freight transport. This novel application of the living lab concept is introduced. Next, the first phases of a city logistics living lab brought in practice in Rotterdam are shortly mentioned. The living lab concept fits the complexities of the urban freight system well and has been a cornerstone of a recently started major freight project in the EU (CITYLAB). © 2016 Published by Elsevier B.V.
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Abstract: Climate change is related with weather extremes, which may cause damages to infrastructure used by freight transport services. Heavy rainfall may lead to flooding and damage to railway lines, roads and inland waterways. Extreme drought may lead to extremely low water levels, which prevent safe navigation by inland barges. Wet and dry periods may alternate, leaving little time to repair damages. In some Western and Middle-European countries, barges have a large share in freight transport. If a main waterway is out of service, then alternatives are called for. Volume- and price-wise, trucking is not a viable alternative. Could railways be that alternative? The paper was written after the unusually long dry summer period in Europe in 2022. It deals with the question: If the Rhine, a major European waterway becomes locally inaccessible, could railways (temporarily) play a larger role in freight transport? It is a continuation of our earlier research. It contains a case study, the data of which was fed into a simulation model. The model deals with technical details like service specification route length, energy consumption and emissions. The study points to interesting rail services to keep Europe’s freight on the move. Their realization may be complex especially in terms of logistics and infrastructure, but is there an alternative?
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To reach the European Green Deal by 2050, the target for the road transport sector is set at 30% less CO2 emissions by 2030. Given the fact that heavy-duty commercial vehicles throughout Europe are driven nowadays almost exclusively on fossil fuels it is obvious that transition towards reduced emission targets needs to happen seamlessly by hybridization of the existing fleet, with a continuously increasing share of Zero Emission vehicle units. At present, trailing units such as semitrailers do not possess any form of powertrain, being a missed opportunity. By introduction of electrically driven axles into these units the fuel consumption as well as amount of emissions may be reduced substantially while part of the propulsion forces is being supplied on emission-free basis. Furthermore, the electrification of trailing units enables partial recuperation of kinetic energy while braking. Nevertheless, a number of challenges still exist preventing swift integration of these vehicles to daily operation. One of the dominating ones is the intelligent control of the e-axle so it delivers right amount of propulsion/braking power at the right time without receiving detailed information from the towing vehicle (such as e.g. driver control, engine speed, engine torque, or brake pressure, …etc.). This is required mainly to ensure interoperability of e-Trailers in the fleets, which is a must in the logistics nowadays. Therefore the main mission of CHANGE is to generate a chain of knowledge in developing and implementing data driven AI-based applications enabling SMEs of the Dutch trailer industry to contribute to seamless energetic transition towards zero emission road freight transport. In specific, CHANGE will employ e-Trailers (trailers with electrically driven axle(s) enabling energy recuperation) connected to conventional hauling units as well as trailers for high volume and extreme payload as focal platforms (demonstrators) for deployment of these applications.
Road freight transport contributes to 75% of the global logistics CO2 emissions. Various European initiatives are calling for a drastic cut-down of CO2 emissions in this sector [1]. This requires advanced and very expensive technological innovations; i.e. re-design of vehicle units, hybridization of powertrains and autonomous vehicle technology. One particular innovation that aims to solve this problem is multi-articulated vehicles (road-trains). They have a smaller footprint and better efficiency of transport than traditional transport vehicles like trucks. In line with the missions for Energy Transition and Sustainability [2], road-trains can have zero-emission powertrains leading to clean and sustainable urban mobility of people and goods. However, multiple articulations in a vehicle pose a problem of reversing the vehicle. Since it is extremely difficult to predict the sideways movement of the vehicle combination while reversing, no driver can master this process. This is also the problem faced by the drivers of TRENS Solar Train’s vehicle, which is a multi-articulated modular electric road vehicle. It can be used for transporting cargo as well as passengers in tight environments, making it suitable for operation in urban areas. This project aims to develop a reverse assist system to help drivers reverse multi-articulated vehicles like the TRENS Solar Train, enabling them to maneuver backward when the need arises in its operations, safely and predictably. This will subsequently provide multi-articulated vehicle users with a sustainable and economically viable option for the transport of cargo and passengers with unrestricted maneuverability resulting in better application and adding to the innovation in sustainable road transport.
Logistics represents around 10-11% of global CO2 emissions, around 75% of which come from road freight transport. ‘The European Green Deal’ is calling for drastic CO2 reduction in this sector. This requires advanced and very expensive technological innovations; i.e. re-design of vehicle units, hybridization of powertrains and automatic vehicle technology. Another promising way to reach these environmental ambitions, without excessive technological investments, is the deployment of SUPER ECO COMBI’s (SEC). SEC is the umbrella name for multiple permutations of 32 meter, 70 tons, road-train combinations that can carry the payload-equivalent of 2 normal tractor-semitrailer combinations and even 3 rigid trucks. To fully deploy a SEC into the transport system the compliance with the existing infrastructure network and safety needs to be guaranteed; i.e. to deploy a specific SEC we should be able to determine which SEC-permutation is most optimal on specific routes with respect to regulations (a.o. damage to the pavement/bridges), the dimensions of specific infrastructures (roundabouts, slopes) and safety. The complexity of a SEC compared to a regular truck (double articulation, length) means that traditional optimisation methods are not applicable. The aim of this project is therefore to develop a first methodology enabling the deployment of the optimal SEC permutation. This will help transport companies (KIEM: Ewals) and trailer manufactures (KIEM: Emons) to invest in the most suitable designs for future SEC use. Additionally the methodology will help governments to be able to admit specific SEC’s to specific routes. The knowledge gained in this project will be combined with the knowledge of the broader project ENVELOPE (NWA-IDG). This will be the start of broader research into an overall methodology of deploying optimal vehicle combinations and a new regulatory framework. The knowledge will be used in master courses on vehicle dynamics.
