Special Issue "Smart Sensing, Data Communication, and Decision Making in Intelligent Transportation and Logistics Systems"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: 1 March 2020.

Special Issue Editor

Dr. Bartłomiej Płaczek
E-Mail Website
Guest Editor
Institute of Computer Science, University of Silesia, Sosnowiec, Poland
Tel. +48 32 3689793
Interests: sensor networks, smart sensors, intelligent systems, internet of things, computer vision

Special Issue Information

Dear Colleagues,

Intelligent transportation systems are expected to improve utilization of the existing infrastructure, alleviate the congestion problem, increase safety, and enhance quality of life. Modern logistics systems are being introduced to improve the performance of supply chains and reduce the costs of logistics operations. The implementation of these systems requires advanced sensing and communication technologies for real-time monitoring of the transportation processes. Moreover, new methods have to be elaborated to effectively utilize the collected transportation data for decision making and control tasks.

Therefore, the purpose of this Special Issue is to present the latest developments in sensing, data communication, and intelligent systems for transportation and logistics. Investigators in the field are invited to contribute with their original, unpublished works. Both research and review papers are welcome.

Topics of interest include but are not limited to:

Communication technologies for transportation and logistics:

- Sensor and vehicular networks;
- Smart sensing;
- In-network data processing;
- Internet of Things and Internet of Vehicles;
- Mobile edge computing;
- Fifth-generation mobile communication (5G).

Applications of artificial intelligence in transportation and logistics:

- Decision support systems;
- Machine learning;
- Deep learning;
- Evolutionary computations;
- Self-organizing systems;
- Swarm intelligence and bio-inspired computing;
- Multiagent systems;
- Modeling and simulation of transportation systems;
- Cellular automata;
- Pattern recognition and image processing.

Dr. Bartłomiej Płaczek
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. Information is an international peer-reviewed open access monthly 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 1000 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.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
An Optimization Model for Demand-Responsive Feeder Transit Services Based on Ride-Sharing Car
Information 2019, 10(12), 370; https://doi.org/10.3390/info10120370 - 26 Nov 2019
Abstract
Ride-sharing (RS) plays an important role in saving energy and alleviating traffic pressure. The vehicles in the demand-responsive feeder transit services (DRT) are generally not ride-sharing cars. Therefore, we proposed an optimal DRT model based on the ride-sharing car, which aimed at assigning [...] Read more.
Ride-sharing (RS) plays an important role in saving energy and alleviating traffic pressure. The vehicles in the demand-responsive feeder transit services (DRT) are generally not ride-sharing cars. Therefore, we proposed an optimal DRT model based on the ride-sharing car, which aimed at assigning a set of vehicles, starting at origin locations and ending at destination locations with their service time windows, to transport passengers of all demand points to the transportation hub (i.e., railway, metro, airport, etc.). The proposed model offered an integrated operation of pedestrian guidance (from unvisited demand points to visited ones) and transit routing (from visited ones to the transportation hub). The objective was to simultaneously minimize weighted passenger walking and riding time. A two-stage heuristic algorithm based on a genetic algorithm (GA) was adopted to solve the problem. The methodology was tested with a case study in Chongqing City, China. The results showed that the model could select optimal pick-up locations and also determine the best pedestrian and route plan. Validation and analysis were also carried out to assess the effect of maximum walking distance and the number of share cars on the model performance, and the difference in quality between the heuristic and optimal solution was also compared. Full article
Back to TopTop