Transport Modelling for Smart Cities

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 39875

Special Issue Editors


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Guest Editor
Faculty of Computer Science, West Pomeranian University of Technology, 52, 71-210 Szczecin, Poland
Interests: computer simulation; cellular automata; multi-agent systems; complex systems; modeling and simulation of transport systems and processes; transportation systems modeling
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Guest Editor
Department of Transport Engineering, Infrastructure Engineering, University of Melbourne, Melbourne 3010, Australia
Interests: physical internet; urban freight; intelligent transport systems; freight modelling; distribution network; city logistics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will consist of manuscripts describing the state-of-the-art of transport modeling for smart cities.

Topics of interest include, but are not limited to:

  • models and methods for the description of transport demand, transport supply, users and their activities, management and control in transport systems, and mobility management;
  • models with different details of mapping of transport systems and transport processes, including, among others, microscopic, mesoscopic, and macroscopic models;
  • models and methods describing the impact of intelligent transportation system (ITS) services and cooperative intelligent transport system (C-ITS) services on user decisions about mobility;
  • models and methods describing user activities, including virtual activities (e.g., telework, online communication), and space–time geography for transportation processes modeling;
  • models and methods combining spatial planning and transport planning, including ITS systems and mobility management for facilities in urban areas;
  • models and methods of describing activities shaping the sustainable development of the city and sustainable use of transport systems;
  • impact of smart transportation systems on the quality of life in smart cities;
  • models and methods of planning the transformation of cities functioning at different levels of transport development into a "Smart City";
  • traffic flow control with emerging technologies;
  • impacts of emerging transportation technologies and services on smart city.

Manuscripts that emphasize either method development or applications are encouraged. Both original papers and review articles are welcome; modeauthors interested in submitting a review article are encouraged to contact the editor in advance to discuss the scope.

Dr. Grzegorz Karoń
Dr. Krzysztof Małecki
Assoc. Prof. Russell Thompson
Prof. Dr. Marianna Jacyna
Guest Editors

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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. Computation 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 1800 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

  • Transportation systems in smart cities
  • Transport demand modeling
  • Transport supply modeling
  • Transport users and their activities
  • Management and control in transport systems
  • Mobility management
  • Intelligent transportation systems ITS
  • Cooperative intelligent transport systems C-ITS
  • Space–time geography for transportation processes modeling
  • Spatial planning with transport planning
  • Traffic flow
  • Traffic control
  • Traffic network
  • Mobility as a Service
  • Connected and automated vehicles
  • Active transport
  • Safety for vulnerable road users

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Published Papers (3 papers)

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Research

22 pages, 4876 KiB  
Article
Designing of Parking Spaces on Parking Taking into Account the Parameters of Design Vehicles
by Miroslava Mikusova, Jamshid Abdunazarov, Joanna Zukowska and Juraj Jagelcak
Computation 2020, 8(3), 71; https://doi.org/10.3390/computation8030071 - 5 Aug 2020
Cited by 9 | Viewed by 30696
Abstract
Nowadays, in all cities, there is an acute problem of a lack of parking spaces. The number of vehicles is constantly increasing not only in big cities and megacities, but also in small towns of the country, and there are not enough parking [...] Read more.
Nowadays, in all cities, there is an acute problem of a lack of parking spaces. The number of vehicles is constantly increasing not only in big cities and megacities, but also in small towns of the country, and there are not enough parking places—the pace of solving the problem is several times slower than the growth rate of transport among citizens. The paper is dedicated to the determination of an optimal size of a parking place for design vehicles in a parking space as an element of roads. In the example of passenger cars and trucks, the optimal number of parking places is presented. The results of the research on the dimensioning of parking spaces serve as recommendations and can be used for the design of objects of transportation infrastructure. According to the research, authors introduce the term “design vehicle” and provide its definition. They also figure out optimal parameters for each design vehicle and recommend a special template for designing parking places. Full article
(This article belongs to the Special Issue Transport Modelling for Smart Cities)
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29 pages, 7933 KiB  
Article
Method of the Analysis of the Connectivity of Road and Street Network in Terms of Division of the City Area
by Piotr Soczówka, Renata Żochowska and Grzegorz Karoń
Computation 2020, 8(2), 54; https://doi.org/10.3390/computation8020054 - 2 Jun 2020
Cited by 13 | Viewed by 4261
Abstract
The transport system of a Smart City consists of many subsystems; therefore, the modeling of the transportation network, which maps its structure, requires consideration of both the connections between individual subsystems and the relationships within each of them. The road and street network [...] Read more.
The transport system of a Smart City consists of many subsystems; therefore, the modeling of the transportation network, which maps its structure, requires consideration of both the connections between individual subsystems and the relationships within each of them. The road and street network is one of the most important subsystems, whose main task is to ensure access to places generating travel demand in the city. Thus, its effectiveness should be at an appropriate level of quality. Connectivity is one of the most important characteristics of a road and street network. It describes how elements of that network are connected, which translates to travel times and costs. The analysis of the connectivity of the road and street network in urban areas is often conducted with the application of topological measures. In the case of a large area of the city, such analysis requires its division into smaller parts, which may affect the computational results of these measures; therefore, the main goal of the study was to present a method of performing analysis based on the computation of numerical values of selected measures of connectivity of road and street network, for a city area divided into fields of regular shape. To achieve that goal, the analyzed area was split into a regular grid. Subsequently, numerical values of the chosen measures of connectivity were calculated for each basic field, and the results allowed us to determine whether they are influenced by the method of division of the area. Obtained results showed that the size of the basic field influences the numerical values of measures of connectivity; however that influence is different for each of the selected measures. Full article
(This article belongs to the Special Issue Transport Modelling for Smart Cities)
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14 pages, 1695 KiB  
Article
Computing Spatiotemporal Accessibility to Urban Opportunities: A Reliable Space-Time Prism Approach in Uncertain Urban Networks
by Alireza Sahebgharani, Mahmoud Mohammadi and Hossein Haghshenas
Computation 2019, 7(3), 51; https://doi.org/10.3390/computation7030051 - 10 Sep 2019
Cited by 4 | Viewed by 3509
Abstract
Space-time prism (STP) is a comprehensive and powerful model for computing accessibility to urban opportunities. Despite other types of accessibility measures, STP models capture spatial and temporal dimensions in a unified framework. Classical STPs assume that travel time in street networks is a [...] Read more.
Space-time prism (STP) is a comprehensive and powerful model for computing accessibility to urban opportunities. Despite other types of accessibility measures, STP models capture spatial and temporal dimensions in a unified framework. Classical STPs assume that travel time in street networks is a deterministic and fixed variable. However, this assumption is in contradiction with the uncertain nature of travel time taking place due to fluctuations and traffic congestion. In addition, travel time in street networks mostly follows non-normal probability distributions which are not modeled in the structure of classical STPs. Neglecting travel time uncertainty and disregarding different types of probability distributions cause unrealistic accessibility values in STP-based metrics. In this way, this paper proposes a spatiotemporal accessibility model by extending classical STPs to non-normal stochastic urban networks and blending this modified STP with the attractiveness of urban opportunities. The elaborated model was applied on the city of Isfahan to assess the accessibility of its traffic analysis zones (TAZs) to Kowsar discount retail markets. A significant difference was found between the results of accessibility values in normally and non-normally distributed networks. In addition, the results show that the northern TAZs had larger accessibility level compared to the southern ones. Full article
(This article belongs to the Special Issue Transport Modelling for Smart Cities)
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