Collaborative Transportation Systems

We propose a new class of applications for Intelligent Transportation Systems (ITSs), called collaborative transportation applications that aim at solving transportation problems such as congestion and parking. Specifically, we define two applications: SmartPark and SmartRide that leverage shortrange wireless communication. We quantify the potential benefits these collaborative transportation applications can offer to an individual and to the public. To this extent, we conduct both the realistic simulations and the analysis of the performance of a taxi cab fleet from San Francisco. Our analysis shows that both collaborative transportation applications can provide with significant savings in travel times, fuel consumptions, etc. Finally, we discuss the functional requirements of collaborative transportation applications and we present the challenges that these applications are facing

Simulation and optimization methods for logistics pooling in the outbound supply chain

Logistics pooling and collaborative transportation systems are relatively new concepts in logistics research, but are very popular in practice. This communication proposes a conceptual framework for logistics and transportation pooling systems, as well as a simulation method for strategic planning optimization. This method is based on a twostep constructive heuristic in order to estimate for big instances the transportation and storage costs at a macroscopic level. Four possible scenarios are explored and commented. Finally, a socio-economic analysis based on 20 semi-directive interviews is presented to propose the limitations and obstacles of logistics poolingLogistics pooling, supply chain management, optimization, group reasoning, simulation

Simulation and optimization methods for logistics pooling in the outbound supply chain

International audienceLogistics pooling and collaborative transportation systems are relatively new concepts in logistics research, but are very popular in practice. This communication proposes a conceptual framework for logistics and transportation pooling systems, as well as a simulation method for strategic planning optimization. This method is based on a twostep constructive heuristic in order to estimate for big instances the transportation and storage costs at a macroscopic level. Four possible scenarios are explored and commented. Finally, a socio-economic analysis based on 20 semi-directive interviews is presented to propose the limitations and obstacles of logistics poolin

Freight distribution systems with cross-docking: a multidisciplinary analysis

Freight transport constitutes one of the main activities that influences economy and society, as it assures a vital link between suppliers and customers and it represents a major source of employment. Multi-echelon distribution is one of the most common strategies adopted by the transport companies in an aim of cost reduction. This paper presents the main concepts of multi-echelon distribution with cross-docks through a multidisciplinary analysis that includes an optimisation study (using both exact and heuristic methods), a geographic approach (based on the concept of accessibility) and a socio-economic analysis. a conceptual framework for logistics and transport pooling systems, as well as a simulation method for strategic planning optimisation.Freight transport systems, cross-docking, simulation, collaboration, socio-economic issues

Collaborative delivery strategies for goods delivery

Transportation sector has the highest growth rate of greenhouse gas emissions compared to other sectors. The fact that the current practice of freight transportation strategies is not sustainable in the long run, motivates the urgent need of sustainable transportation strategies with less negative effects on the environment and the society. As one of the possible sustainable solutions, collaborative planning of freight delivery has attracted the interest of professional and scientific communities. This work illustrates some strategies of the collaborative freight transportation.&nbsp

Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders

Ride-sharing practice represents one of the possible answers to the traffic congestion problem in today's cities. In this scenario, recommenders aim to determine similarity among different paths with the aim of suggesting possible ride shares. In this paper, we propose a novel dissimilarity function between pairs of paths based on the construction of a shared path, which visits all points of the two paths by respecting the order of sequences within each of them. The shared path is computed as the shortest path on a directed acyclic graph with precedence constraints between the points of interest defined in the single paths. The dissimilarity function evaluates how much a user has to extend his/her path for covering the overall shared path. After computing the dissimilarity between any pair of paths, we execute a fuzzy relational clustering algorithm for determining groups of similar paths. Within these groups, the recommenders will choose users who can be invited to share rides. We show and discuss the results obtained by our approach on 45 paths

Collaborative urban transportation : Recent advances in theory and practice

We thank the Leibniz Association for sponsoring the Dagstuhl Seminar 16091, at which the work presented here was initiated. We also thank Leena Suhl for her comments on an early version of this work. Finally, we thank the anonymous reviewers for the constructive comments.Peer reviewedPostprin

The Role of Collaborative Networks in Sustainability

http://www.springerlink.com/content/978-3-642-15960-2#section=791431&page=1International audienc

Optimisation of Mobile Communication Networks - OMCO NET

The mini conference “Optimisation of Mobile Communication Networks” focuses on advanced methods for search and optimisation applied to wireless communication networks. It is sponsored by Research & Enterprise Fund Southampton Solent University. The conference strives to widen knowledge on advanced search methods capable of optimisation of wireless communications networks. The aim is to provide a forum for exchange of recent knowledge, new ideas and trends in this progressive and challenging area. The conference will popularise new successful approaches on resolving hard tasks such as minimisation of transmit power, cooperative and optimal routing

Rethinking tourism destinations: collaborative network models for the tourist 2.0

In the increasingly saturated tourism market, an effective tourism destination management is essential to support competitive and sustainable growth. The topic becomes interesting in light of the spread of the collaborative network (CN) organisational models and the massive diffusion of web 2.0 and mobile technology. The formers have proven to give concrete opportunities of development in many industrial sectors, the latter has been changing the way tourists experience a destination. Even if several case studies of CNs in tourism are known, a comprehensive study of how tourism destinations can benefit of CN models and enabling technologies is not present; especially in the effort to help tourism destinations in setting up services able to actively support each phase of the tourist 2.0 lifecycle. In this paper we highlight how CN models are able to support the tourism destination management in order to gain competitiveness for local areas, to improve flexibility in services provision and to give tourists the possibility to live an augmented tourism experience. Furthermore, a review of the most suitable forms of collaborative network for tourism destination and their ways to actively support the augmented experience of the tourist 2.0 are proposed