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Sustainability
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Traffic Flow Modelling and Simulation towards Sustainable Transportation
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Traffic Flow Modelling and Simulation towards Sustainable Transportation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (15 June 2020) | Viewed by 17376

Special Issue Editors

Prof. Dr. Stefano De Luca

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Salerno Via Giovanni Paolo II, 132-84084 Fisciano, SA, Italy
Interests: transportation planning; simulation; analysis of functional and environmental efficiency of container terminals in urban areas using simulation models and design of innovative solutions; analysis and design of innovative solutions in the port environment (e.g., cold ironing, electrification of handling equipment, use of renewable energy systems)
Special Issues, Collections and Topics in MDPI journals
Dr. Roberta Di Pace

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Salerno, via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy
Interests: cooperative intelligent transportation systems; traffic management and control; within-day traffic flow modelling; models and algorithms for travel demand assignment; smart/sustainable mobility; discrete choice models and alternative paradigms for travel behavior analysis and modelling; sharing mobility; transportation environmental impacts
Special Issues, Collections and Topics in MDPI journals
Dr. Chiara Fiori

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Salerno Via Giovanni Paolo II, 132-84084 Fisciano, SA, Italy
Interests: analysis of functional and environmental efficiency of container terminals in urban areas using simulation models and design of innovative solutions; analysis and design of innovative solutions in the port environment (e.g., cold ironing, electrification of handling equipment, use of renewable energy systems)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The planning, design, and management of a transportation system require the nature and extent of the relationships between transport and the environment to be understood and quantified. Further, the strategies and actions needed to alleviate the different externalities linked to the transport of people and goods must be defined. Within this context, the “universe of transport” is changing at a speed never seen before, driven by impetuous technological development and affected by continuous changes in users’ needs, behaviors, and expectations.

New emerging mobility paradigms are becoming both a business opportunity and a social opportunity, as well as a strategy to increase the sustainability of the transportation system (e.g., shared mobility, Mobility As A Service). The availability of a huge quantity of data (big data) has given rise to different transport system modeling and simulation approaches. Moreover, the rapid and wide market penetration of several information sources and of Intelligent Transportation Systems/infrastructures is changing the usual travel and driving behaviors (e.g., ATIS, ADAS, real-time intersection synchronization). Finally, the new automotive and communication technologies will change the traditional way of “moving” in a road network (e.g., electric/hybrid vehicles, connected vehicles V2V or V2I, automated vehicles, autonomous vehicles).

The overall objective of this Special Issue of Sustainability is to collect original and innovative contributions focused on modeling and simulation methodologies/tools supporting the design and management of a greener, safer, and more equitable transportation system.

Theoretical and applicative contributions may include, but are not limited to, the following areas:

  • Connected and automated vehicles (solutions, market penetration, and real impacts on transport systems);
  • Real-time vehicle management (technologies, methodologies, issues, solutions, and perspectives);
  • Driving assistance technologies (issues, solutions, and perspectives);
  • V2V and V2I communication (issues, solutions, and perspectives);
  • Alternative fuel vehicles (solutions, market penetration, and environmental impact);
  • Optimization of transportation systems;
  • Simulation of transportation systems;
  • Vehicle routing and route planning;
  • Travel demand modeling and management;
  • Real-time network optimization;
  • Real-time public services optimization,
  • Real-time signals setting design or traffic control;
  • Mobility as a service,
  • Shared mobility,
  • Intelligent information systems,
  • Smart city logistics,
  • Energy consumption modeling and simulation of innovative powertrains.

Prof. Stefano De Luca
Prof. Roberta Di Pace
Dr. Chiara Fiori
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. Sustainability 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 2400 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

  • Simulation of transportation systems
  • Transportation network design problem
  • Shared mobility
  • Mobility as a service
  • Traffic control
  • Signal setting design
  • Intelligent transportation systems
  • Autonomous vehicles
  • Connected vehicles
  • Electric vehicles
  • Travel demand estimation
  • Simulation of innovative powertrains

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

19 pages, 1043 KiB  
Article
Evaluation of Traffic Assignment Models through Simulation
by Marta Rojo
Sustainability 2020, 12(14), 5536; https://doi.org/10.3390/su12145536 - 9 Jul 2020
Cited by 10 | Viewed by 3639
Abstract
Assignment methodologies attempt to determine the traffic flow over each network arc based on its characteristics and the total flow over the entire area. There are several methodologies—some fast and others that are more complex and require more time to complete the calculation. [...] Read more.
Assignment methodologies attempt to determine the traffic flow over each network arc based on its characteristics and the total flow over the entire area. There are several methodologies—some fast and others that are more complex and require more time to complete the calculation. In this study, we evaluated different assignment methodologies using a computer simulation and tested the results in a specific case study. The results showed that the “all-or-nothing” methods and the incremental assignment methods generally yield results with an unacceptable level of error unless the traffic is divided into four or more equal parts. The method of successive averages (MSA) was valid starting from a relatively low number of iterations, while the user equilibrium methodologies (approximated using the Frank and Wolfe algorithm) were valid starting from an even lower number of iterations. These results may be useful to researchers in the field of computer simulation and planners who apply these methodologies in similar cases. Full article
(This article belongs to the Special Issue Traffic Flow Modelling and Simulation towards Sustainable Transportation)
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18 pages, 7192 KiB  
Article
An Extended Car-Following Model Considering the Drivers’ Characteristics under a V2V Communication Environment
by Shuaiyang Jiao, Shengrui Zhang, Bei Zhou, Zixuan Zhang and Liyuan Xue
Sustainability 2020, 12(4), 1552; https://doi.org/10.3390/su12041552 - 19 Feb 2020
Cited by 38 | Viewed by 3783
Abstract
In intelligent transportation systems, vehicles can obtain more information, and the interactivity between vehicles can be improved. Therefore, it is necessary to study car-following behavior during the introduction of intelligent traffic information technology. To study the impacts of drivers’ characteristics on the dynamic [...] Read more.
In intelligent transportation systems, vehicles can obtain more information, and the interactivity between vehicles can be improved. Therefore, it is necessary to study car-following behavior during the introduction of intelligent traffic information technology. To study the impacts of drivers’ characteristics on the dynamic characteristics of car-following behavior in a vehicle-to-vehicle (V2V) communication environment, we first analyzed the relationship between drivers’ characteristics and the following car’s optimal velocity using vehicle trajectory data via the grey relational analysis method and then presented a new optimal velocity function (OVF). The boundary conditions of the new OVF were analyzed theoretically, and the results showed that the new OVF can better describe drivers’ characteristics than the traditional OVF. Subsequently, we proposed an extended car-following model by combining V2V communication based on the new OVF and previous car-following models. Finally, numerical simulations were carried out to explore the effect of drivers’ characteristics on car-following behavior and fuel economy of vehicles, and the results indicated that the proposed model can improve vehicles’ mobility, safety, fuel consumption, and emissions in different traffic scenarios. In conclusion, the performance of traffic flow was improved by taking drivers’ characteristics into account under the V2V communication situation for car-following theory. Full article
(This article belongs to the Special Issue Traffic Flow Modelling and Simulation towards Sustainable Transportation)
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22 pages, 7840 KiB  
Article
The Reversible Lane Network Design Problem (RL-NDP) for Smart Cities with Automated Traffic
by Lígia Conceição, Gonçalo Homem de Almeida Correia and José Pedro Tavares
Sustainability 2020, 12(3), 1226; https://doi.org/10.3390/su12031226 - 8 Feb 2020
Cited by 23 | Viewed by 5076
Abstract
With automated vehicles (AVs), reversible lanes could be a sustainable transportation solution once there is vehicle-to-infrastructure connectivity informing AVs about the lane configuration changes. This paper introduced the reversible lane network design problem (RL-NDP), formulated in mixed-integer non-linear mathematical programming—both the traffic assignment [...] Read more.
With automated vehicles (AVs), reversible lanes could be a sustainable transportation solution once there is vehicle-to-infrastructure connectivity informing AVs about the lane configuration changes. This paper introduced the reversible lane network design problem (RL-NDP), formulated in mixed-integer non-linear mathematical programming—both the traffic assignment and the reversible lane decisions were embedded. The model was applied on an hourly basis in the case study of the city of Delft, the Netherlands. Reversible lanes are examined under no traffic equilibrium (former paths are maintained); user-equilibrium (UE) assignment (AVs decide their own paths); and system-optimum (SO) traffic assignment (AVs are forced to follow SO paths). We found out that reversible lanes reduce congested roads, total travel times, and delays up to 36%, 9%, and 22%, respectively. The SO scenario was revealed to be beneficial in reducing the total travel time and congested roads in peak hours, whereas UE is equally optimal in the remaining hours. A dual-scenario mixing SO and UE throughout the day reduced congested roads, total travel times, and delay up to 40%, 8%, and 19%, respectively, yet increased 1% in travel distance. The spatial analysis suggested a substantial lane variability in the suburbs, yet a strong presence of reversible lanes in the city center. Full article
(This article belongs to the Special Issue Traffic Flow Modelling and Simulation towards Sustainable Transportation)
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17 pages, 5251 KiB  
Article
Analysis of the Insertion Angle of Lane-Changing Vehicles in Nearly Saturated Fast Road Segments
by Quantao Yang, Feng Lu, Jingsheng Wang, Dan Zhao and Lijie Yu
Sustainability 2020, 12(3), 1013; https://doi.org/10.3390/su12031013 - 31 Jan 2020
Cited by 5 | Viewed by 3236
Abstract
Vehicle lane changing in a nearly saturated fast road segment tends to increase the probability of traffic accidents in the road segment and reduce the speed of the rear vehicles in the target lane. To better analyze the relationship between the target vehicle [...] Read more.
Vehicle lane changing in a nearly saturated fast road segment tends to increase the probability of traffic accidents in the road segment and reduce the speed of the rear vehicles in the target lane. To better analyze the relationship between the target vehicle and the front and rear vehicles in the target lane, this study focuses on the insertion angle of the target vehicle as the research object. Moreover, this study considers influencing factors, such as the longitudinal distance, transverse distance, and speed of the front and rear vehicles in the target lane. This study also adopts aerial photography to capture the flow of the main road of the Xi’an South Second Ring Road, Chang’an University segment. Information regarding the vehicle captured on video, including the speed, insertion angle, and coordinates, is extracted using the software Tracker. The coordinates correlation and speed correlation are analyzed using the software SPSS 2.0. K-means cluster analysis is applied to cluster the insertion angle of the target vehicle, and the insertion speed of the target vehicle. Of the total samples, 89.47% were inserted into the target lane at around 23° or below. The PC-Crash software was used to verify that the collision consequences gradually increased with the increase in collision angle. Therefore, when the insertion angle of the vehicle changes to lower than 23°, the overall road traffic condition is optimal, and no large losses are incurred. Full article
(This article belongs to the Special Issue Traffic Flow Modelling and Simulation towards Sustainable Transportation)
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