Smart City Logistik Erfurt (SCL): ICT-support for managing fully electric vehicles in the domain of inner city freight traffic

Schau, Volkmar; Rossak, Wilhelm; Hempel, Harald; Späthe, Steffen

doi:10.1109/ieom.2015.7093862

Cited by 18 publications

(10 citation statements)

References 1 publication

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“…For example, a drop in outside temperature below minus 10 Celsius may cut down the available range heavily. In [1] we show, that driving habits and the weight of freight are also very important factors.…”

Section: State Of the Artmentioning

confidence: 97%

“…Only then, this technology will be applicable on a wider range which will increase environmental protection. In the research project 'Smart City Logistik Erfurt' we study the use of electric vehicles in the logistic domain mentioned above [1] [2]. Factors influencing such a range prediction algorithm are not trivial to identify and heavily interdependent.…”

Section: Introductionmentioning

confidence: 99%

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Applying stochastic methods for range prediction in E-mobility

Gebhardt

Schau

Rossak

2015

2015 15th International Conference on Innovations for Community Services (I4CS)

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In a time where environmental protection is a big topic, use of electric vehicles is steadily increasing. Many people have reservations to use this new technology because of the limited range of electric vehicle. The range is influenced by many parameters like velocity, ramp, weight and so on. In respect of such facts prediction of range is a very important but difficult topic. One thinkable solution is to model the electric vehicle by using physical properties. Such approaches are restricted to a specific vehicle type and it is not possible to transfer the solution without a good deal of work. In this paper, we present a new approach, which is not restricted to vehicle types, by using statistical methods.

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Section: State Of the Artmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Applying stochastic methods for range prediction in E-mobility

Gebhardt

Schau

Rossak

2015

2015 15th International Conference on Innovations for Community Services (I4CS)

Self Cite

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“…In this framework, a reduction externalities evaluation is proposed in [63], while in [64], a performance assessment and comparison with diesel trucks are presented. Smart logistics with EV and ICT in urban areas is proposed in [65,66]. The market evaluation shows a considerable interest in EL-Vs, as shown in [67].…”

Section: Innovative Vehiclesmentioning

confidence: 99%

“…Innovative vehicles [63], 2013 Assessment of the potential benefits of electric vehicles, especially in urban delivery of goods X [64], 2013 Assessment of the electric vehicles in an urban delivery center by means of a discrete event model simulation and different scenarios X [65], 2015 Assessment of the small-and medium-sized fully-electric vehicles used for the last mile in freight transport handling with ICT support X [66], 2014 Multi-dimensional drivers and challenges for the use of electric freight vehicles in urban areas X [67], 2016 Assessment of the market of light electric vehicles and the potential application with a forecast scenarios X [68], 2013…”

Section: Logistics Innovationmentioning

confidence: 99%

A Review of Last Mile Logistics Innovations in an Externalities Cost Reduction Vision

et al. 2018

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In this paper, a review of the recent scientific literature contributions on innovative strategies for last mile logistics, focusing on externalities cost reduction, is presented. Transport is causing problems in urban areas, in particular in freight transport: modern cities need solutions to reduce externalities costs such as congestion, pollution and others, which have increased in the last few years, especially due to the growth of goods delivery. Online sales and globalization lead to new trends in freight transport, and moreover, a larger quantity of goods is expected to be delivered in the next future. In this context, most of the delivered goods end up in the city centers. Last mile logistics is the least efficient stage of the supply chain and comprises up to 28% of the total delivery cost. Therefore, the improvement of last mile logistics and a significant externalities reduction are very important challenges for researchers. New technologies and transport means, innovative techniques and organizational strategies allow handling in a more effective way the last mile delivery in urban areas. Based on the Systematic Literature Review (SLR) method, recent papers that significantly contributed, with original proposals, to the reduction of externalities in urban logistics are identified and analyzed in this work. Furthermore, a classification of the papers dealing with the externality reduction problem is presented. It is consistent with a general formulation proposed to evaluate external costs in urban area. The innovative contributions are classified into five main categories: innovative vehicles, proximity stations or points, collaborative and cooperative urban logistics, optimization of transport management and routing, innovations in public policies and infrastructures. The new paradigm of smart logistics is based on the combination of these concepts and on the proposed innovations.

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“…The power system is getting smarter with the combination of computational intelligence. For example, accurate forecast models for energy consumption, renewable energy availability, and the like, allow us to make an efficient energy generation plan, potentially making it unnecessary to burn fossil fuels [1]. In addition, from the consumer side, it is possible to control the operation of each electric device according to well-defined logic taking into account real-time price signal change, current energy load, and other user requirement.…”

Section: Introductionmentioning

confidence: 99%