Special Issue "IoT and Informatics Applications in Logistics and Intelligent Transportation Systems"

A special issue of Informatics (ISSN 2227-9709).

Deadline for manuscript submissions: closed (31 December 2017)

Special Issue Editor

Guest Editor
Prof. Dr. Maria Pia Fanti

Polytechnic of Bari, Italy
Website | E-Mail
Interests: discrete event systems; petri net; consensus algorithms; networked and control systems; management and modelling of logistic systems; automated manufacturing systems; automatic guided vehicle systems; traffic networks; healthcare systems

Special Issue Information

Dear Colleagues,

The specific objectives of the modern Logistics and Transportation Challenges are smart, green, and integrated services to achieve planning, scheduling, and transport systems that are resource-efficient, and climate- and environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. In this context, the increasing complexity of such systems of systems and the availability of inexpensive sensors and communication, mobile computing, advanced and real time analytics and cloud services are redefining the Intelligent Transportation Systems (ITS) and logistics. Utilization of IoT is redefining asset tracking, inventory and warehouse management in the logistics sector, as well as in manufacturing. In parallel, the automotive industry is undergoing a significant change to provide better road safety and co-operative mobility management while reducing the effect on environment. These ongoing and future activities related to IoT in ITS and logistics pose research, as well as engineering, challenges.

Maria Pia Fanti
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Automatic and intelligent control applications in logistics systems

  • Automation and Informatics for Intelligent Transportation Systems

  • Management information systems in logistics

  • IoT architecture for ITS and logistics applications

  • Upcoming communication technologies for IoT and their application in ITS

  • Advanced analytics and big data for ITS and logistics

  • Security, privacy and trust for ITS and logistics IoT applications

  • Consumer centric design and services for IoT in ITS and logistics

Published Papers (2 papers)

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Research

Open AccessArticle A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems
Informatics 2018, 5(1), 15; https://doi.org/10.3390/informatics5010015
Received: 22 January 2018 / Revised: 9 March 2018 / Accepted: 13 March 2018 / Published: 16 March 2018
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Abstract
When it comes to Internet of Things systems that include both a logistics system and an intelligent transportation system, a smart sensor is one of the key elements to collect useful information whenever and wherever necessary. This study proposes the Smart Sensor Node
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When it comes to Internet of Things systems that include both a logistics system and an intelligent transportation system, a smart sensor is one of the key elements to collect useful information whenever and wherever necessary. This study proposes the Smart Sensor Node Group Management Medium Access Control Scheme designed to group smart sensor devices and collect data from them efficiently. The proposed scheme performs grouping of portable sensor devices connected to a system depending on the distance from the sink node and transmits data by setting different buffer thresholds to each group. This method reduces energy consumption of sensor devices located near the sink node and enhances the IoT system’s general energy efficiency. When a sensor device is moved and, thus, becomes unable to transmit data, it is allocated to a new group so that it can continue transmitting data to the sink node. Full article
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Open AccessArticle Bus Operations Scheduling Subject to Resource Constraints Using Evolutionary Optimization
Received: 19 December 2017 / Revised: 28 January 2018 / Accepted: 2 February 2018 / Published: 6 February 2018
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Abstract
In public transport operations, vehicles tend to bunch together due to the instability of passenger demand and traffic conditions. Fluctuation of the expected waiting times of passengers at bus stops due to bus bunching is perceived as service unreliability and degrades the overall
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In public transport operations, vehicles tend to bunch together due to the instability of passenger demand and traffic conditions. Fluctuation of the expected waiting times of passengers at bus stops due to bus bunching is perceived as service unreliability and degrades the overall quality of service. For assessing the performance of high-frequency bus services, transportation authorities monitor the daily operations via Transit Management Systems (TMS) that collect vehicle positioning information in near real-time. This work explores the potential of using Automated Vehicle Location (AVL) data from the running vehicles for generating bus schedules that improve the service reliability and conform to various regulatory constraints. The computer-aided generation of optimal bus schedules is a tedious task due to the nonlinear and multi-variable nature of the bus scheduling problem. For this reason, this work develops a two-level approach where (i) the regulatory constraints are satisfied and (ii) the waiting times of passengers are optimized with the introduction of an evolutionary algorithm. This work also discusses the experimental results from the implementation of such an approach in a bi-directional bus line operated by a major bus operator in northern Europe. Full article
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