Sustainable Transport Infrastructure

2011 ◽  
pp. 153-170
Author(s):  
Fatih Dur ◽  
Tan Yigitcanlar ◽  
Jonathan Bunker
Keyword(s):  
Urban Development ◽  
Environmental Sustainability ◽  
Intelligent Transportation Systems ◽  
Urban Transportation ◽  
Transportation Systems ◽  
Transport Infrastructure ◽  
Sustainable Urban Development ◽  
Infrastructure Development ◽  
Technological Means ◽  
Sustainability Problems

Many economic, social and environmental sustainability problems associated with typical urban transportation systems have revealed the importance of three domains of action: vehicle, infrastructure and user. These domains need to be carefully reconsidered in search of a sustainable urban development path. Although intelligent transportation systems have contributed substantially to enhancing efficiency, safety and comfort of travel, questions related to users’ behaviors and preferences, which stimulate considerable environmental effects, still needed to be further examined. In this chapter, options for smart urban transportation infrastructure development and the technological means for achieving broader goals of sustainable communities and urban development are explored.

Sustainable Transport Infrastructure

2010 ◽  
pp. 44-61 ◽  
Author(s):  
Fatih Dur ◽  
Tan Yigitcanlar ◽  
Jonathan Bunker
Keyword(s):  
Urban Development ◽  
Environmental Sustainability ◽  
Intelligent Transportation Systems ◽  
Urban Transportation ◽  
Transportation Systems ◽  
Transport Infrastructure ◽  
Sustainable Urban Development ◽  
Infrastructure Development ◽  
Technological Means ◽  
Sustainability Problems

Many economic, social and environmental sustainability problems associated with typical urban transportation systems have revealed the importance of three domains of action: vehicle, infrastructure and user. These domains need to be carefully reconsidered in search of a sustainable urban development path. Although intelligent transportation systems have contributed substantially to enhancing efficiency, safety and comfort of travel, questions related to users’ behaviors and preferences, which stimulate considerable environmental effects, still needed to be further examined. In this chapter, options for smart urban transportation infrastructure development and the technological means for achieving broader goals of sustainable communities and urban development are explored.

scholarly journals The Way Forward for Indirect Structural Health Monitoring (iSHM) Using Connected and Automated Vehicles in Europe

2021 ◽  
Vol 6 (3) ◽  
pp. 43
Author(s):  
Konstantinos Gkoumas ◽  
Kyriaki Gkoktsi ◽  
Flavio Bono ◽  
Maria Cristina Galassi ◽  
Daniel Tirelli
Keyword(s):  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Transport Infrastructure ◽  
Policy Framework ◽  
Strategic Decisions ◽  
Automated Vehicles ◽  
Civil Infrastructures ◽  
Vehicle Automation ◽  
Labor Requirements

Europe’s aging transportation infrastructure requires optimized maintenance programs. However, data and monitoring systems may not be readily available to support strategic decisions or they may require costly installations in terms of time and labor requirements. In recent years, the possibility of monitoring bridges by indirectly sensing relevant parameters from traveling vehicles has emerged—an approach that would allow for the elimination of the costly installation of sensors and monitoring campaigns. The advantages of cooperative, connected, and automated mobility (CCAM), which is expected to become a reality in Europe towards the end of this decade, should therefore be considered for the future development of iSHM strategies. A critical review of methods and strategies for CCAM, including Intelligent Transportation Systems, is a prerequisite for moving towards the goal of identifying the synergies between CCAM and civil infrastructures, in line with future developments in vehicle automation. This study presents the policy framework of CCAM in Europe and discusses the policy enablers and bottlenecks of using CCAM in the drive-by monitoring of transport infrastructure. It also highlights the current direction of research within the iSHM paradigm towards the identification of technologies and methods that could benefit from the use of connected and automated vehicles (CAVs).

scholarly journals Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

2020 ◽  
Vol 34 (04) ◽  
pp. 4020-4027
Author(s):  
Yongshun Gong ◽  
Zhibin Li ◽  
Jian Zhang ◽  
Wei Liu ◽  
Jinfeng Yi
Keyword(s):  
Real World ◽  
Intelligent Transportation Systems ◽  
Domain Knowledge ◽  
Urban Transportation ◽  
Transportation Systems ◽  
Metro Station ◽  
Practical Applications ◽  
Passenger Flow ◽  
Flow Prediction ◽  
Transportation Development

Recently, practical applications for passenger flow prediction have brought many benefits to urban transportation development. With the development of urbanization, a real-world demand from transportation managers is to construct a new metro station in one city area that never planned before. Authorities are interested in the picture of the future volume of commuters before constructing a new station, and estimate how would it affect other areas. In this paper, this specific problem is termed as potential passenger flow (PPF) prediction, which is a novel and important study connected with urban computing and intelligent transportation systems. For example, an accurate PPF predictor can provide invaluable knowledge to designers, such as the advice of station scales and influences on other areas, etc. To address this problem, we propose a multi-view localized correlation learning method. The core idea of our strategy is to learn the passenger flow correlations between the target areas and their localized areas with adaptive-weight. To improve the prediction accuracy, other domain knowledge is involved via a multi-view learning process. We conduct intensive experiments to evaluate the effectiveness of our method with real-world official transportation datasets. The results demonstrate that our method can achieve excellent performance compared with other available baselines. Besides, our method can provide an effective solution to the cold-start problem in the recommender system as well, which proved by its outperformed experimental results.

Fruitful Synergy Model of Artificial Intelligence and Internet of Thing for Smart Transportation System

2020 ◽  
Vol 4 (1) ◽  
pp. 43-57 ◽  
Author(s):  
Vikram Puri ◽  
Chung Van Le ◽  
Raghvendra Kumar ◽  
Sandeep Singh Jagdev
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Transportation Systems ◽  
Smart Cities ◽  
Urban Transportation ◽  
Fall Detection ◽  
Transportation System ◽  
Transportation Systems ◽  
Support Vector ◽  
Smart Transportation ◽  
Artificial Neural Network Ann

In urban transportation systems, bicycle sharing systems are majorly deployed in major cities of both developed and developing countries. The recent boom of bicycle sharing system along with its upgraded technology have opened new opportunities towards urban transportation system. With the enlargement of intelligent transportation systems (ITS's), smart bicycle sharing schemes are more popular to smart cities as a green transportation mode. In this article, the Internet of Things (IoT) and artificial intelligence-based monitoring devices have been proposed for the bicycles. This system contains a harmful exhaust gas sensor, wireless module, and a GPS receiver and camera that are capable to send data with time and date stamping. In addition, sensor also integrated on the bicycle for the fall detection. An artificial neural network (ANN) and support vector machine (SVM) applied to the data collected at central server is designed to analyze the root mean square error (RMSE), and coefficient of correlation (R2). Result shows that ANN performance is better when compared to SVM.

scholarly journals Spatial development as a factor of cities’ sustainability

2019 ◽  
Vol 91 ◽  
pp. 05034
Author(s):  
Ivan Makarov ◽  
Natalia Morozova ◽  
Vladimir Plotnikov ◽  
Tatiana Samoylova
Keyword(s):  
Urban Development ◽  
Spatial Development ◽  
The State ◽  
Transport Infrastructure ◽  
Sustainable Urban Development ◽  
Municipal Policy ◽  
Economic Space ◽  
Spatial Factor ◽  
Faster Development ◽  
State Regional

The article focuses on the spatial conditions of sustainable urban development. They cannot develop without taking into account its inherent tendencies. Using the example of the Russian Federation, the authors performed an analysis of the spatial factor of urban development. The directions of its influence are established; the zoning in the spatial development of the country is highlighted; the laws and tendencies of the transformation of cities under the influence of changes in the economic space were established. The authors substantiated the need to coordinate the development strategies of Russian cities with the measures of the state regional policy. This will allow taking into account the peculiarities of the regions and territories in which the cities are located. It also shows the need for faster development of transport infrastructure in Russia, which increases the coherence of the economic space of the country, stimulates interregional and intercity (inter-settlement) communications. Concerning the zone of the Russian European Core, recommendations were given on prioritizing measures and tools for sustainable urban development. It has been proposed to take into account in the state and municipal policy the main vectors of spatial development (West - East; North - South; Center -Periphery).

scholarly journals Sustainable Urbanization on Occupied Land? The Politics of Infrastructure Development and Resettlement in Beira City, Mozambique

2018 ◽  
Vol 10 (9) ◽  
pp. 3123 ◽  
Author(s):  
Murtah Shannon ◽  
Kei Otsuki ◽  
Annelies Zoomers ◽  
Mayke Kaag
Keyword(s):  
Urban Development ◽  
Qualitative Interviews ◽  
Urban Infrastructure ◽  
Sustainable Urban Development ◽  
Infrastructure Development ◽  
Forced Displacement ◽  
Sustainable Infrastructure ◽  
Systematic Feature ◽  
Sustainable Urbanization ◽  
International Investors

With this article we contribute to debates on urban land governance and sustainable urban development in Africa by providing an empirical analysis of forced displacement and resettlement associated with infrastructure development in Beira city, Mozambique. In recent years Beira has become the recipient of numerous investment flows targeting the built environment by a range of international investors. By analyzing the micropolitical engagements associated with three different infrastructure projects, based on extensive qualitative interviews, observations, and document analysis, we demonstrate how each intervention has been associated with highly informal and divergent processes of forced displacement and resettlement. We argue that these land related impacts have been annexed from debates on sustainable infrastructure development, and that they exhibit some fundamental differences from established resettlement research. We conclude by arguing that forced displacement and resettlement should be understood as a deliberate and systematic feature of urban infrastructure development, through which new social-spatial arrangements are created. This ultimately points to the emergence of a novel mode of fragmented urbanism within the context of urban development in Africa which poses new challenges to urban sustainability.

Intelligent transportation system for sustainable environment in smart cities

2021 ◽  
pp. 002072092098350
Author(s):  
Liang Zhao ◽  
Yuanhua Jia
Keyword(s):  
Environmental Sustainability ◽  
Intelligent Transportation Systems ◽  
Autonomous Vehicles ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Advanced Technology ◽  
Toxic Substances ◽  
Sustainable Environment

Advanced technology has ushered in the urge to enhance the travel experience. Besides the consistent desire to travel faster and more comfortably, the need to ensure transportation sustainability has remained constant. Smart cities employ top-grade technological applications to facilitate operations. Intelligent transportation systems involve the use of advanced transportation technologies. Through the integration of the Internet of Vehicles, cars in traffic can send and receive data between themselves and other vehicles and the environment. This data is processed to ensure efficient transportation by controlling traffic flows and preventing accidents. In this study, a literature review is conducted on how intelligent transportation systems contribute to environmental sustainability in smart cities. With technologies such as electricity-driven cars and autonomous vehicles, the systems minimize the emission of toxic substances to the environment while enhancing the interaction of the car with its surroundings to avoid accidents.

scholarly journals Corridor-Wise Eco-Friendly Cooperative Ramp Management System for Connected and Automated Vehicles

2021 ◽  
Vol 13 (15) ◽  
pp. 8557
Author(s):  
Zhouqiao Zhao ◽  
Guoyuan Wu ◽  
Matthew Barth
Keyword(s):  
Energy Consumption ◽  
Environmental Sustainability ◽  
Intelligent Transportation Systems ◽  
Management System ◽  
Combustion Engine ◽  
Transportation Systems ◽  
Ramp Metering ◽  
Automated Vehicles ◽  
Traffic Condition ◽  
Real Time Traffic

Safety, mobility, and environmental sustainability are three fundamental issues that our transportation system has been confronting for decades. Intelligent transportation systems (ITS) aim to address these problems by leveraging disruptive technologies, such as connected and automated vehicles (CAVs). The cooperative potential of CAVs enable more efficient maneuvers and operation of a group of vehicles, or even the entire traffic system. In addition, CAVs may couple with other emerging technologies such as electrification to boost overall system performance and to further mitigate the aforementioned issues. In this study, we propose a hierarchical eco-friendly cooperative ramp management system, where macroscopically, a stratified ramp metering algorithm, is deployed to coordinate all of the ramp inflow rates along a corridor according to the real-time traffic condition; microscopically, a model predictive control (MPC)-based algorithm is designed for the detailed speed control of individual CAVs. Using the shared information from CAVs, the proposed ramp management system can smooth traffic flow, improve system mobility, and decrease the energy consumption of the network. Moreover, traffic simulation has been conducted using PTV VISSIM under various congestion levels for vehicles with different powertrain types, i.e., an internal combustion engine and an electric motor. Compared to conventional ramp metering, the proposed ramp management system may improve mobility by 48.6–56.7% and save energy by 24.0–35.1%. Compared to no control scenarios, savings in travel time and energy consumption are in the ranges of 79.4–89.1% and 0.8–2.5%, respectively.

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