scholarly journals Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI

2021 ◽  
Vol 11 (3) ◽  
pp. 1109
Author(s):  
Gang Xiong ◽  
Zhishuai Li ◽  
Huaiyu Wu ◽  
Shichao Chen ◽  
Xisong Dong ◽  
...  
Keyword(s):  
Big Data ◽  
Public Transportation ◽  
Social Space ◽  
Dynamic Network ◽  
Integrated Approach ◽  
Transportation Systems ◽  
Parallel Execution ◽  
Traffic Information ◽  
Artificial System ◽  
Public Traffic

The extensive proliferation of urban transit cards and smartphones has witnessed the feasibility of the collection of citywide travel behaviors and the estimation of traffic status in real-time. In this paper, an urban public traffic dynamic network based on the cyber-physical-social system (CPSS-UPTDN) is proposed as a universal framework for advanced public transportation systems, which can optimize the urban public transportation based on big data and AI methods. Firstly, we introduce three modules and two loops which composes of the novel framework. Then, the key technologies in CPSS-UPTDN are studied, especially collecting and analyzing traffic information by big data and AI methods, and a particular implementation of CPSS-UPTDN is discussed, namely the artificial system, computational experiments, and parallel execution (ACP) method. Finally, a case study is performed. The data sources include both traffic congestion data from physical space and cellular data from social space, which can improve the prediction performance for traffic status. Furthermore, the service quality of urban public transportation can be promoted by optimizing the bus dispatching based on the parallel execution in our framework.

scholarly journals An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems

2021 ◽  
Vol 13 (5) ◽  
pp. 2740
Author(s):  
Ahmad Alkharabsheh ◽  
Sarbast Moslem ◽  
Laila Oubahman ◽  
Szabolcs Duleba
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Quality Criteria ◽  
Integrated Approach ◽  
Transportation Systems ◽  
Urban Transport ◽  
Grey Theory ◽  
The Public ◽  
The Government

Improving the local urban transport system’s quality is often seen as one of the critical points for the government and the local operator. An amelioration of the system can improve users’ satisfaction and attract new users while simultaneously decreasing traffic congestion and pollution. Efficient methodologies are required to achieve sustainable development regarding complex issues associated with traffic congestion and pollution. In this study, we propose using the analytic hierarchy process (AHP) grey values to overcome the limitations of the uncertainty in the classical AHP approach. The presented grey-AHP model assumes an efficient contrivance to facilitate the public transport system’s supply quality evaluation, especially when respondents are non-experts. Finally, we estimate and rank the public transport system’s supply quality criteria by adopting the proposed model for a real-world case study (Amman city, Jordan). The study’s outcome shows the effectiveness and the applicability of the developed approach for enhancing the quality of the public transport system.

The Opera and the Omnibus: Material Culture, Urbanism and Boieldieu's La dame blanche

2020 ◽  
Vol 32 (1) ◽  
pp. 90-114
Author(s):  
Nicole Vilkner
Keyword(s):  
Material Culture ◽  
Business Model ◽  
Public Transportation ◽  
Reception History ◽  
Transportation Systems ◽  
Mass Transportation ◽  
Musical Work ◽  
The World ◽  
History Of

AbstractIn the summer of 1828, the Entreprise générale des Dames Blanches launched a fleet of white omnibuses onto the streets of Paris. These public transportation vehicles were named and fashioned after Boieldieu's opéra comique La dame blanche (1825): their rear doors were decorated with scenes of Scotland, their flanks painted with gesturing opera characters, and their mechanical horns trumpeted fanfares through the streets. The omnibuses offered one of the first mass transportation systems in the world and were an innovation that transformed urban circulation. During their thirty years of circulation, the omnibuses also had a profound effect on the reception history of Boieldieu's opera. When the omnibuses improved the quality of working- and middle-class life, bourgeois Parisians applauded the vehicles’ egalitarian business model, and Boieldieu's opera became unexpectedly entwined in the populist rhetoric surrounding the omnibus. Viewing opera through the lens of the Dames Blanches, Parisians conflated the sounds of opera and street, as demonstrated by Charles Valentin Alkan's piano piece Les omnibus, Op. 2 (1829), which combines operatic idioms and horn calls. Through these examples and others, this study examines the complex ways that material culture affects the dissemination and reception of a musical work.

scholarly journals Virus Transmission Risk in Urban Rail Systems: Microscopic Simulation-Based Analysis of Spatio-Temporal Characteristics

2021 ◽  
pp. 036119812110101
Author(s):  
Jiali Zhou ◽  
Haris N. Koutsopoulos
Keyword(s):  
Public Transportation ◽  
Virus Transmission ◽  
Flow Characteristics ◽  
Transportation Systems ◽  
Transmission Risk ◽  
Microscopic Simulation ◽  
Spatial And Temporal Patterns ◽  
Subway System ◽  
Public Transportation Systems ◽  
The Impact

The transmission risk of airborne diseases in public transportation systems is a concern. This paper proposes a modified Wells-Riley model for risk analysis in public transportation systems to capture the passenger flow characteristics, including spatial and temporal patterns, in the number of boarding and alighting passengers, and in number of infectors. The model is used to assess overall risk as a function of origin–destination flows, actual operations, and factors such as mask-wearing and ventilation. The model is integrated with a microscopic simulation model of subway operations (SimMETRO). Using actual data from a subway system, a case study explores the impact of different factors on transmission risk, including mask-wearing, ventilation rates, infectiousness levels of disease, and carrier rates. In general, mask-wearing and ventilation are effective under various demand levels, infectiousness levels, and carrier rates. Mask-wearing is more effective in mitigating risks. Impacts from operations and service frequency are also evaluated, emphasizing the importance of maintaining reliable, frequent operations in lowering transmission risks. Risk spatial patterns are also explored, highlighting locations of higher risk.

Station facilities and noise assessment: A multilevel analysis on light rail train stations

2021 ◽  
Vol 69 (4) ◽  
pp. 364-372
Author(s):  
Yalcin Yildirim ◽  
Diane Jones Allen
Keyword(s):  
Public Transportation ◽  
Transportation Systems ◽  
Urban Life ◽  
Light Rail ◽  
Noise Levels ◽  
Transit Systems ◽  
Message Boards ◽  
Sound Levels ◽  
Noise Assessment ◽  
Ticket Vending Machines

Noise is one of the most frequent consequences of traffic. Public transportation systems, such as the Dallas Area Rapid Transit (DART) authority provides various modes of transportation. Even though the availability of commuting service for the public is a boon to communities, mass transit systems are potential sources of excessive sound levels in daily urban life. This article examines the nexus between the transit station facilities of light rail train (LRT) stations and noise implications at both station and neighborhood scales by studying selected LRT stations. A multilevel linear analysis was conducted to understand the degree of train station amenities and neighborhood characteristics that affect sound levels. Using a type II sound pressure level (SPL)meter, sound measurements were obtained during the weekdays and weekends over several weeks. Upon examining the station amenities, and built environment and sociodemographic characteristics of the neighborhood, findings of this comprehensive research reveal significant implications for sound levels. Stations with ticket vending machines and informative message boards include a higher degree of significance on SPLs, while shelters, crew rooms, bike lockers, restrooms, and windshields are significantly and negatively associated with the noise levels. Additionally, neighborhoods with dense roads, higher speed limits, more neighborhood facilities, and a higher number of transit routes have an increased likelihood of noise levels. Recommendations include creating transformative policies for implementation, and approaches addressing noise for transit authorities, transportation engineers, and planners are presented. Planning and engineering aspects of comfort, aesthetics, safety, and public health, as train stations are daily use spaces for commuters and surrounding communities, should also be considered.

Big Data Processing and Mining for Next Generation Intelligent Transportation Systems

2013 ◽  
Vol 63 (3) ◽  
Author(s):  
Jelena Fiosina ◽  
Maxims Fiosins, Jörg P. Müller
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real World ◽  
Intelligent Transportation Systems ◽  
Social Impact ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Optimization Techniques ◽  
Next Generation ◽  
Big Data Processing

The deployment of future Internet and communication technologies (ICT) provide intelligent transportation systems (ITS) with huge volumes of real-time data (Big Data) that need to be managed, communicated, interpreted, aggregated and analysed. These technologies considerably enhance the effectiveness and user friendliness of ITS, providing considerable economic and social impact. Real-world application scenarios are needed to derive requirements for software architecture and novel features of ITS in the context of the Internet of Things (IoT) and cloud technologies. In this study, we contend that future service- and cloud-based ITS can largely benefit from sophisticated data processing capabilities. Therefore, new Big Data processing and mining (BDPM) as well as optimization techniques need to be developed and applied to support decision-making capabilities. This study presents real-world scenarios of ITS applications, and demonstrates the need for next-generation Big Data analysis and optimization strategies. Decentralised cooperative BDPM methods are reviewed and their effectiveness is evaluated using real-world data models of the city of Hannover, Germany. We point out and discuss future work directions and opportunities in the area of the development of BDPM methods in ITS.

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