Special Issue "Intelligent Transportation Systems"

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

Deadline for manuscript submissions: 30 September 2017

Special Issue Editors

Guest Editor
Dr. Muhammad Alam

Instituto de Telecomunicações, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Website | E-Mail
Interests: wireless vehicular communications; real-time wireless communications; IoT; smart city applications
Guest Editor
Dr. Joaquim Ferreira

ESTGA—Univerisity of Aveiro; Instituto de Telecomunicações, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Website | E-Mail
Interests: wireless vehicular communications; real-time; fault tolerance; industrial communications

Special Issue Information

Dear Colleagues,

Transportation systems are very important in modern life; therefore, massive research efforts have been devoted to this field of study in the recent past. Effective vehicular connectivity techniques can significantly enhance efficiency of travel, reduce traffic incidents and improve safety, alleviate the impact of congestion; devising the so-called Intelligent Transportation Systems (ITS) experience. ITS include telematics and all types of communications in vehicles, between vehicles (e.g., V2V), and between vehicles and infrastructure (e.g., V2I). ITS integrate information and communication technologies (ICT) and apply them to the transport sector. These systems gather data from sensors and equipment deployed within vehicles and infrastructure, and provide services that aim to improve the current transportation system, making it more efficient, sustainable, safe, and environment friendly.

Therefore, the purpose of this Special Issue is to publish high-quality research, expecting both from academic and industrial stakeholders, and serves as an outlet for disseminating innovative solutions towards meeting the expectation of ITS. Original, high quality contributions that have not yet been published, submitted, or are not currently under review by other journals or peer-reviewed conferences are sought.

Topics of interest include, but are not limited to, the following topics:

  • New paradigms for ITS/Vehicular communication
  • Medium access for vehicular communication
  • Novel Architectures for ITS
  • Real-time sensing for autonomous vehicles
  • Automatic incident detection and recovery
  • Safety aspects of smart mobility
  • Advance parking and monitoring systems
  • Data distribution platforms for ITS
  • Real-time and dynamic prediction of traffic flows
  • Public transport prioritization
  • Prototype development and measurements
  • M2M communication in the scope of ITS
  • Advanced Driver Assistance Systems
  • New paradigms for smart mobility
  • Field trials/Testbed implementations

Dr. Muhammad Alam
Dr. Joaquim Ferreira
Guest Editors

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 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

  • Intelligent Transportation Systems
  • Wireless vehicular communications
  • Vehicular technologies

Published Papers (5 papers)

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Research

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Open AccessArticle A Robust Timetabling Model for a Metro Line with Passenger Activity Information
Information 2017, 8(3), 102; doi:10.3390/info8030102
Received: 22 July 2017 / Revised: 15 August 2017 / Accepted: 21 August 2017 / Published: 25 August 2017
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Abstract
Timetable design is crucial to the reliability of a metro service. In terms of the delays caused by passengers’ boarding and alighting behaviors during rush hours, the planned timetable for a metro line with high-frequency service tends to be difficult to implement. General
[...] Read more.
Timetable design is crucial to the reliability of a metro service. In terms of the delays caused by passengers’ boarding and alighting behaviors during rush hours, the planned timetable for a metro line with high-frequency service tends to be difficult to implement. General oversaturation events, rather than accidents or track damage, still have a significant impact on metro systems, so that trains are canceled and delayed. When the activity reality diverges from the real-time or historical information, it is imperative that dispatchers present a good solution during the planning stage in order to minimize the nuisance for passengers and reduce the crowding risk. This paper presents a robust timetabling model (RTM) for a metro line with passenger activity information, which takes into account congestion and buffer time adjustments. The main objective pursued by dispatchers in the model is the enhancement of punctuality while minimizing train delays by adjusting the buffer time. By explicitly taking the passenger activity information into account, a mixed integer nonlinear programming (MINLP) model was developed, and a genetic algorithm (GA) is proposed to solve the model. Finally, numerical experiments based on the Batong line of the Beijing Metro were carried out, the results of which verify the effectiveness and efficiency of our method. Full article
(This article belongs to the Special Issue Intelligent Transportation Systems)
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Open AccessArticle Planning of Vehicle Routing with Backup Provisioning Using Wireless Sensor Technologies
Information 2017, 8(3), 94; doi:10.3390/info8030094
Received: 8 July 2017 / Revised: 27 July 2017 / Accepted: 28 July 2017 / Published: 2 August 2017
PDF Full-text (2200 KB) | HTML Full-text | XML Full-text
Abstract
Wireless sensor technologies can be used by intelligent transportation systems to provide innovative services that lead to improvements in road safety and congestion, increasing end-user satisfaction. In this article, we address vehicle routing with backup provisioning, where the possibility of reacting to overloading/overcrowding
[...] Read more.
Wireless sensor technologies can be used by intelligent transportation systems to provide innovative services that lead to improvements in road safety and congestion, increasing end-user satisfaction. In this article, we address vehicle routing with backup provisioning, where the possibility of reacting to overloading/overcrowding of vehicles at certain stops is considered. This is based on the availability of vehicle load information, which can be captured using wireless sensor technologies. After discussing the infrastructure and monitoring tool, the problem is mathematically formalized, and a heuristic algorithm using local search procedures is proposed. Results show that planning routes with backup provisioning can allow fast response to overcrowding while reducing costs. Therefore, sustainable urban mobility, with efficient use of resources, can be provided while increasing the quality of service perceived by users. Full article
(This article belongs to the Special Issue Intelligent Transportation Systems)
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Open AccessArticle A Practical Point Cloud Based Road Curb Detection Method for Autonomous Vehicle
Information 2017, 8(3), 93; doi:10.3390/info8030093
Received: 22 May 2017 / Revised: 21 July 2017 / Accepted: 21 July 2017 / Published: 30 July 2017
PDF Full-text (13831 KB) | HTML Full-text | XML Full-text
Abstract
Robust and quick road curb detection under various situations is critical in developing intelligent vehicles. However, the road curb detection is easily affected by the obstacles in the road area when Lidar based method is applied. A practical road curb detection method using
[...] Read more.
Robust and quick road curb detection under various situations is critical in developing intelligent vehicles. However, the road curb detection is easily affected by the obstacles in the road area when Lidar based method is applied. A practical road curb detection method using point cloud from a three-dimensional Lidar for autonomous vehicle is reported in this paper. First, a multi-feature, loose-threshold, varied-scope ground segmentation method is presented to increase the robustness of ground segmentation with which obstacles above the ground can be detected. Second, the road curb is detected by applying the global road trend and an extraction-update mechanism. Experiments show the robustness and efficiency of the road curb detection under various environments. The road curb detection method is 10 times the speed of traditional method and the accuracy is much higher than existing methods. Full article
(This article belongs to the Special Issue Intelligent Transportation Systems)
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Open AccessArticle Deployment and Field Evaluation of In-Vehicle Traffic Signal Advisory System (ITSAS)
Information 2017, 8(3), 72; doi:10.3390/info8030072
Received: 3 May 2017 / Revised: 21 June 2017 / Accepted: 22 June 2017 / Published: 25 June 2017
PDF Full-text (3237 KB) | HTML Full-text | XML Full-text
Abstract
This research evaluates the impact of In-vehicle Signal Advisory System (ITSAS) on signalized arterial. ITSAS provides individual drivers equipped with a mobile communication device with advisory speed information enabling to minimize the time delay and fuel consumption when crossing intersection. Given the instantaneous
[...] Read more.
This research evaluates the impact of In-vehicle Signal Advisory System (ITSAS) on signalized arterial. ITSAS provides individual drivers equipped with a mobile communication device with advisory speed information enabling to minimize the time delay and fuel consumption when crossing intersection. Given the instantaneous vehicular driving information, such as position, speed, and acceleration rate, ITSAS produces advisory speed information by taking into consideration the traffic signal changes at a downstream intersection. The advisory speed information includes not only an optimal speed range updated every 300-ft for individual drivers but also a descriptive message to warn drivers stop to ensure safety at the downstream intersection. Unlike other similar Connected Vehicles applications for intersection management, ITSAS does not require Roadside Equipment (RSE) to disseminate the advisory speed information as it is designed to exploit commercial cellular network service (i.e., 3G and 4G-LTE). Thus, ITSAS can be easily plugged into existing traffic control management system to rapidly conduct its implementation without significant additional cost. This research presents the field evaluations of ITSAS on a signalized corridor in New Jersey, which discovered significant travel time savings for the equipped vehicle. Full article
(This article belongs to the Special Issue Intelligent Transportation Systems)
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Review

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Open AccessReview An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review
Information 2017, 8(3), 101; doi:10.3390/info8030101
Received: 4 August 2017 / Revised: 22 August 2017 / Accepted: 22 August 2017 / Published: 24 August 2017
PDF Full-text (527 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
In the last few years, traffic congestion has become a growing concern due to increasing vehicle ownerships in urban areas. Intersections are one of the major bottlenecks that contribute to urban traffic congestion. Traditional traffic signal control systems cannot adjust the timing pattern
[...] Read more.
In the last few years, traffic congestion has become a growing concern due to increasing vehicle ownerships in urban areas. Intersections are one of the major bottlenecks that contribute to urban traffic congestion. Traditional traffic signal control systems cannot adjust the timing pattern depending on road traffic demand. This results in excessive delays for road users. Adaptive traffic signal control in a connected vehicle environment has shown a powerful ability to effectively alleviate urban traffic congestions to achieve desirable objectives (e.g., delay minimization). Connected vehicle technology, as an emerging technology, is a mobile data platform that enables the real-time data exchange among vehicles and between vehicles and infrastructure. Although several reviews about traffic signal control or connected vehicles have been written, a systemic review of adaptive traffic signal control in a connected vehicle environment has not been made. Twenty-six eligible studies searched from six databases constitute the review. A quality evaluation was established based on previous research instruments and applied to the current review. The purpose of this paper is to critically review the existing methods of adaptive traffic signal control in a connected vehicle environment and to compare the advantages or disadvantages of those methods. Further, a systematic framework on connected vehicle based adaptive traffic signal control is summarized to support the future research. Future research is needed to develop more efficient and generic adaptive traffic signal control methods in a connected vehicle environment. Full article
(This article belongs to the Special Issue Intelligent Transportation Systems)
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