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Rethinking the future of transportation systems: Intelligent Transportation Planning and Impacts Assessment 2021-2022

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".

Deadline for manuscript submissions: 1 July 2024 | Viewed by 5533

Special Issue Editors


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Guest Editor
Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, The University of Aveiro, 3810-193 Aveiro, Portugal
Interests: intelligent transport systems; MaaS; autonomous vehicles; environmental impact assessment; sustainable mobility
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, The University of Aveiro, 3810-193 Aveiro, Portugal
Interests: emissions monitoring; emissions modelling; traffic modelling; accident reconstruction; sustainable mobility; smart cities
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, The University of Aveiro, 3810-193 Aveiro, Portugal
Interests: operations research; multi-objective optimization; traffic-raleted impacts assessment; sustainable mobility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Transportation systems are beneficial to society, but they also account for serious challenges and various side-effects, e.g., accidents, injuries and fatalities, congestion, noise, air pollution, and petroleum dependence. In the context of the 2030 Agenda for Sustainable Development, harnessing the advancements in technology can bring improvements to the transportation system. These issues are at the forefront of the agenda of most policymakers. Recently, unprecedented changes in mobility patterns arose from the context of the COVID-19 pandemics, with consequent impacts on citizens' life. Although there was a slowdown in the economic activity and mobility during 2020 mostly due to the pandemic, resulting in a major drop in accidents, pollutant emissions, and mobility levels in general, the truth is that soon transportation activity will continue to increase to face society needs. Thus, evaluating and curbing traffic-related impacts is crucial for a better life, air, and health quality. There is the need of rethinking the transport system to effectively address numerous issues from transport efficiency and flexibility to climate change actions. In this field, intelligent transport systems can be valuable and the understanding derived from sensor and monitoring-based data can be remarkable, from getting insights into active travel and pedestrian movements to the development of more sustainable driving and traffic operations, that can therefore improve the sustainability of both passenger and freight transportation. In this Special Issue, we invite the submission of outstanding research papers that specifically focus on intelligent transportation, with a holistic perspective involving different viewpoints of the mobility agents, policymakers and car manufacturers, on emerging mobility services, safety and driving behaviour, environmental and air quality impacts, and anticipating traffic and environmental impacts of both conventional and automated and connected vehicles. The scope of this Special Issue is to cover state-of-the-art contributions under the form of original research and/or review papers with a general focus on intelligent transportation and on, but not limited to, the following topics:

  • Transportation system preparation for extreme events;
  • Traffic-related environmental and air quality impacts;
  • Safety and security in all transportation modes;
  • Intelligent transportation and smart cities;
  • Freight innovative solutions;
  • Smart cities transportation and land-use planning;
  • Innovative sources of information in intelligent transportation systems;
  • Driving behavior and operation assessment;
  • Automated and connected vehicles;
  • Future trends for smart mobility.

Dr. Jorge Bandeira
Dr. Paulo Fernandes
Dr. Eloisa Macedo
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 submissions that pass pre-check are 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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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 system
  • connected automated vehicles
  • smart transportation
  • vehicle communication network
  • air quality
  • safety
  • sustainable and cooperative planning

Published Papers (3 papers)

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Research

23 pages, 3771 KiB  
Article
Beyond Basics: Can a Driving Simulator Reliably Reproduce Real Vehicle Dynamics?
by Beatriz Fernandes, Eloisa Macedo and Jorge M. Bandeira
Sensors 2023, 23(21), 8980; https://0-doi-org.brum.beds.ac.uk/10.3390/s23218980 - 05 Nov 2023
Viewed by 833
Abstract
Despite constant technological innovation, road transport remains a significant source of pollutant emissions, and effective driver-behaviour changes can be considered as solutions that can increase the sustainability of road traffic in a short period. Thus, understanding driver behaviour plays a key role in [...] Read more.
Despite constant technological innovation, road transport remains a significant source of pollutant emissions, and effective driver-behaviour changes can be considered as solutions that can increase the sustainability of road traffic in a short period. Thus, understanding driver behaviour plays a key role in assessing traffic-related impacts. Since real-world experiments entail some risks and are often not flexible, simulator-based experiments can be relevant to studying vehicle dynamics and driver behaviour. However, the reliability of the simulation results’ accuracy must be ensured. The primary objective of this paper is to present an exploratory analysis focused on the study of the reliability of a driving simulator to reproduce driving parameters that can then be used for emission estimation. For that purpose, tests were conducted by two drivers for urban and highway scenarios performed on a driving simulator and in real-world environments. Different road singularities composed events that were microscopically analysed. Second-by-second vehicle dynamic variables were recorded, and the pollutant emissions were estimated using the vehicle specific power (VSP) methodology. The results of this exploratory validation analysis showed that the total average emissions of all events were not significantly different (958.39 g for simulated and 998.06 g for empirical tests). Overall, the driving simulator can replicate vehicle dynamics from a microscopic perspective, especially for the urban scenario. This may be due to the more complex traffic conditions and road specificities that require more restrained driving behaviour. Nevertheless, VSP mode distributions did not follow the same pattern in 4 out of 10 events, meaning that the drivers displayed different behaviours in the simulated and empirical tests for those events. The relative errors range between 4 and 29% for carbon dioxide emissions and between 2 and 33% for nitrogen oxides emissions. Full article
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21 pages, 3332 KiB  
Article
An Evaluation of the Safety Effectiveness and Cost of Autonomous Vehicles Based on Multivariable Coupling
by Hong Tan, Fuquan Zhao, Wang Zhang and Zongwei Liu
Sensors 2023, 23(3), 1321; https://0-doi-org.brum.beds.ac.uk/10.3390/s23031321 - 24 Jan 2023
Cited by 4 | Viewed by 1919
Abstract
There is a need for in-depth studies of autonomous vehicle safety that evaluate the effectiveness of safety functions and different “atomic” technology combinations for vehicles and roads. In this paper, we provide a crash avoidance effectiveness evaluation model for autonomous vehicles enabled with [...] Read more.
There is a need for in-depth studies of autonomous vehicle safety that evaluate the effectiveness of safety functions and different “atomic” technology combinations for vehicles and roads. In this paper, we provide a crash avoidance effectiveness evaluation model for autonomous vehicles enabled with different sensor combinations based on multiple variables of 14 different “atomic” sensing technologies on the vehicle side and road side, 52 safety functions, and 14 accident types. Meanwhile, a cost-sharing model is developed based on the traveled distance during the life cycle of vehicles and based on the traffic flow over the life cycle of roads to evaluate the unit cost per km of different “atomic” technology combinations. The results clearly show that the cost increases with the addition of “atomic” sensing technologies on the vehicle side, while an increase in crash avoidance effectiveness decreases. It is necessary to switch to V2X and to introduce roadside “atomic” technology combinations to realize better safety effectiveness at a lower cost for vehicles. In addition, a map that covers the safety effectiveness and cost per kilometer of all “atomic” technology combinations is calculated for decision-makers to select combinations under the preconditions of cost and safety. Full article
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30 pages, 6795 KiB  
Article
Simulation-Based Analysis of “What-If” Scenarios with Connected and Automated Vehicles Navigating Roundabouts
by Maria Luisa Tumminello, Elżbieta Macioszek, Anna Granà and Tullio Giuffrè
Sensors 2022, 22(17), 6670; https://0-doi-org.brum.beds.ac.uk/10.3390/s22176670 - 03 Sep 2022
Cited by 7 | Viewed by 1756
Abstract
Despite the potential of connected and automated vehicles (CAVs), there are still many open questions on how road capacity can be influenced and what methods can be used to assess its expected benefits in the progressive transition towards fully cooperative driving. This paper [...] Read more.
Despite the potential of connected and automated vehicles (CAVs), there are still many open questions on how road capacity can be influenced and what methods can be used to assess its expected benefits in the progressive transition towards fully cooperative driving. This paper contributes to a better understanding of the benefits of CAV technologies by investigating mobility-related issues of automated vehicles operating with a cooperative adaptive cruise control system on roundabout efficiency using microscopic traffic simulation. The availability of the adjustment factors for CAVs provided by the 2022 Highway Capacity Manual allowed to adjust the entry capacity equations to reflect the presence of CAVs on roundabouts. Two mechanisms of entry maneuver based on the entry lane type were examined to compare the capacity target values with the simulated capacities. The microscopic traffic simulator Aimsun Next has been of great help in building the “what-if” traffic scenarios that we analysed to endorse hypothesis on the model parameters which affect the CAVs’ capabilities to increase roundabouts’ throughput. The results highlighted that the increasing penetration rates of CAVs have greater impacts on the operational performances of roundabouts, and provided a synthetic insight to assess the potential benefits of CAVs from an efficiency perspective. Full article
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