scholarly journals Intelligent automated public transportation systems with enhanced security

2021 ◽  
Vol 23 (06) ◽  
pp. 1608-1617
Author(s):  
K. Sivakumar ◽  

A significant population of our country is folks with an average income who depend on public transportation to go about. But this method of transport has become one of the most chaotic and also has a high percentage of crime sites for numerous incidents. Hence this method has the most insecure position for the public and also pollution generating state. Out of the full population of India as of 2017, around 5.5 percent of the total GDP goes by road dependent on public transit. The aim of this work is to develop a Smart automatic Public transport System with improved security to provide convenience to passengers who are unaware of the complete information about the buses such as availability of seats, journey time, distance traveled, and to make sure they experience the same comfort as their personal vehicles.

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1501
Author(s):  
Juan Ruiz-Rosero ◽  
Gustavo Ramirez-Gonzalez ◽  
Rahul Khanna

There is a large number of tools for the simulation of traffic and routes in public transport systems. These use different simulation models (macroscopic, microscopic, and mesoscopic). Unfortunately, these simulation tools are limited when simulating a complete public transport system, which includes all its buses and routes (up to 270 for the London Underground). The processing times for these type of simulations increase in an unmanageable way since all the relevant variables that are required to simulate consistently and reliably the system behavior must be included. In this paper, we present a new simulation model for public transport routes’ simulation called Masivo. It runs the public transport stops’ operations in OpenCL work items concurrently, using a multi-core high performance platform. The performance results of Masivo show a speed-up factor of 10.2 compared with the simulator model running with one compute unit and a speed-up factor of 278 times faster than the validation simulator. The real-time factor achieved was 3050 times faster than the 10 h simulated duration, for a public transport system of 300 stops, 2400 buses, and 456,997 passengers.


Author(s):  
David A. Faria ◽  
Wilma Smith

A study was done to develop various innovative transportation strategies to address the changing travel needs of Arlington, Texas, residents. The study was guided by the Arlington Community Transportation Study Committee. It developed the transportation niche concept: the ability to use alternative community transportation services to address specific needs of the community in different parts of the city. Five high-priority niches were studied in detail. The success of the individual niches in particular and the integrated transportation system in general will rely heavily on the cooperation and coordination between the public and the private sectors and the acceptance of the niche concept by the general public.


2013 ◽  
Vol 433-435 ◽  
pp. 1370-1373
Author(s):  
Dan Wang ◽  
Xin Li

The public transport infrastructure of a city is one of the most important indicators of its economic growth and development. Here we study the public transport network of Shenyang, which represents Chinese domestic civil public transport infrastructure, as a complex network. We find that the public transport system of Shenyang, a network of public transportation routes connected by bus links, is a small-world network characterized by a Poisson degree distribution. We investigate the public transport network as a complex network to explore its topological properties. Simulation results show that the public transport network exhibits small world behavior.


2011 ◽  
Vol 186 ◽  
pp. 556-559
Author(s):  
Lian Xue ◽  
Dan Jie Zhao ◽  
Gui Mei Liu

The development of the city's public transport system has an indispensable role to alleviate the pressure of urban roads. Bus travel time reliability is an important evaluation index of the bus operation service level. The simulation of bus travel time helps us understand the reliability of bus running time. In this paper, we use Monte Carlo stochastic simulation method to calculate the reliability of bus travel time. On this basis, we establish a model of the reliability of public transportation systems to research the reliability of bus travel time.


2018 ◽  
Vol 181 ◽  
pp. 02007
Author(s):  
Resdiansyah

One aspect of Kuching City that has not progressed in tandem with the rest of the city is the public transport system, which is relatively old and almost non-existent. Transport and City planners seem to be at their wit’s end in coming up with satisfactory solutions to Kuching’s public transportation woes. In current situation, many proposals, but none have proven workable. As a result, representative buses remain a rare sight on Kuching city’s roads. To achieve a sustainable public transport industry, the old buses need to be regenerated and replaced with modern buses. The objectives of the intended study are to explore the consumer’s travel behaviour by employing mode choice modelling. Consequently, a study was conducted in Kuching City Area by using stated preference technique, analysed and compiled by using SPSS.17 multiple linear regressions analysis. In this context, discrete choice analysis was used to examine the relationship between independent variables (travel time, waiting time, fares and comfort) and dependent variables (choice of respondent whether to consume old bus or choose new bus services). A total of 2000 respondents were interviewed. The findings showed that for the trips purpose, fares and comfortability were the primary factors that reflected the decision or behaviour of the respondents asked. It was discovered that there is a significant relationship between the choice of the respondents and comfortability. It also appeared that longer travel time did not affect for the traveler’s choice at this stage. Hence, the study suggests that the local authority and the bus operators should establish a “quality partnership” and working together in order to come out with a much better and appropriate transport policy and schemes for the existing public transportation systems, especially bus services.


2021 ◽  
Vol 2 (1) ◽  
pp. 16-20
Author(s):  
Ahmet Atalay

The increasing number of urban centers and the increasing number of vehicles caused by industrialization caused problems such as lack of infrastructure in traffic, environmental pollution and an increase in energy requirements. This situation led the city administrators to search for solutions in order to improve the efficiency of public transportation systems and increase their efficiency. In this study, it is aimed to determine the functional efficiency of the bus lines used in urban public transportation. For this purpose, the lines are classified according to their functional activities by using the functional data of the lines. Both classical cluster analysis and self-organizing mapping (SOM) method were used for classification. Data from Erzurum main public transport lines were used to implement the methods. According to the findings of this study, it was determined that the two methods achieved similar results. As a result, it has been determined that classification of public transportation lines used in cities according to their functional efficiency will be beneficial for decision makers to make correct planning. With the right planning in public transport lines, significant economic and environmental benefits will be obtained.


sjesr ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 414-422
Author(s):  
Abdul Ghafar ◽  
Zulfiqar Ali Lashari ◽  
Saima Kalwar

The spatial and economic growth of cities and regions is heavily influenced by transportation. A better knowledge of public transportation will help to clarify the positions of the public and private sectors, as well as recognize the critical government position. To study the problems and issues of the public transportation system, Qasimabad, Hyderabad is selected as a study area due to some serious issues of public transportation. Personal observations and questionnaires were used to gather data from the research area. And for analyzing the data SPSS and MS Excel are used. The results reveal that the existing public transportation system is not meeting the needs of residents. Hence use of private transportation is high and causing environmental and traffic jam problems. As 68% of respondents use a motorbike for recreational purposes, 64% of respondents are not using public transport due to safety factors. In general, 54% of respondents were not satisfied with the service of public transport. As people are willing to use public transport but due to some factors such as safety, they are not using public transport so it is suggested that both vehicles and roads must be safe for users. This study aims to study the existing scenario of public transportation in terms of services and facilities, and people’s perception about public transportation. So it is concluded that people are tending to use public transport but under some certain conditions (factors preventing the use of public transport), if these concerns are solved then public transport system will become more efficient.


2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Alejandro Tirachini ◽  
Oded Cats

The COVID-19 pandemic poses a great challenge for contemporary public transportation worldwide, resulting from an unprecedented decline in demand and revenue. In this paper, we synthesize the state-of-the-art, up to early June 2020, on key developments regarding public transportation and the COVID-19 pandemic, including the different responses adopted by governments and public transportation agencies around the world, and the research needs pertaining to critical issues that minimize contagion risk in public transportation in the so-called post-lockdown phase. While attempts at adherence to physical distancing (which challenges the very concept of mass public transportation) are looming in several countries, the latest research shows that for closed environments such as public transportation vehicles, the proper use of face masks has significantly reduced the probability of contagion. The economic and social effects of the COVID-19 outbreak in public transportation extend beyond service performance and health risks to financial viability, social equity, and sustainable mobility. There is a risk that if the public transportation sector is perceived as poorly transitioning to post-pandemic conditions, that viewing public transportation as unhealthy will gain ground and might be sustained. To this end, this paper identifies the research needs and outlines a research agenda for the public health implications of alternative strategies and scenarios, specifically measures to reduce crowding in public transportation. The paper provides an overview and an outlook for transit policy makers, planners, and researchers to map the state-of-affairs and research needs related to the impacts of the pandemic crisis on public transportation. Some research needs require urgent attention given what is ultimately at stake in several countries: restoring the ability of public transportation systems to fulfill their societal role.


Author(s):  
Kenneth Perrine ◽  
Alireza Khani ◽  
Natalia Ruiz-Juri

Generalized Transit Feed Specification (GTFS) files have gained wide acceptance by transit agencies, which now provide them for most major metropolitan areas. The public availability GTFSs combined with the convenience of presenting a standard data representation has promoted the development of numerous applications for their use. Whereas most of these tools are focused on the analysis and utilization of public transportation systems, GTFS data sets are also extremely relevant for the development of multimodal planning models. The use of GTFS data for integrated modeling requires creating a graph of the public transportation network that is consistent with the roadway network. The former is not trivial, given limitations of networks often used for regional planning models and the complexity of the roadway system. A proposed open-source algorithm matches GTFS geographic information to existing planning networks and is also relevant for real-time in-field applications. The methodology is based on maintaining a set of candidate paths connecting successive geographic points. Examples of implementations using traditional planning networks and a network built from crowdsourced OpenStreetMap data are presented. The versatility of the methodology is also demonstrated by using it for matching GPS points from a navigation system. Experimental results suggest that this approach is highly successful even when the underlying roadway network is not complete. The proposed methodology is a promising step toward using novel and inexpensive data sources to facilitate and eventually transform the way that transportation models are built and validated.


2020 ◽  
Vol 12 (15) ◽  
pp. 5875 ◽  
Author(s):  
Trynos Gumbo ◽  
Thembani Moyo

There have been growing concerns with regards to the state public transportation systems, particularly in the cities of developing countries. Chief among these concerns has been the lack of well-coordinated, efficient, and reliable transportation systems. The city of Johannesburg, just like any other fast-growing municipality in developing and emerging economies, has not been spared with regards to incessant public transport challenges. Consequently, there have been collective efforts from both public and private stakeholders to invest immensely in both innovative rail and road transport systems in the past decade. This article sought to achieve twin objectives. First, the work identified the state of connectivity between the rapid rail transportation and rapid bus transit systems based on Geoweb 2.0 data. Second, the work visualized the level of connectivity between these two modes to develop and formulate policy frameworks in integrating public transit systems in cities of the developing world, learning from the metropolitan city of Johannesburg. A mixed-method approach consisting of spatial and quantitative aspects was used to examine the state of connectedness and the promotion of access and mobility between the two modes. The local Moran’s I index was used to compute node clusters within the public transport system. Results from the analysis demonstrated that both high-clusters and low-clusters exist in the public transportation network, which have a high degree of centrality. It was revealed that commuters navigate from these nodes/stops with relative ease due to the short walking radius. However, the work revealed that most rail networks and bus routes, as well as the stations and bus stops, are not connected and are not significant in the local Moran’s I index, thus, making it difficult for commuters to conveniently move from the Gautrain to the Rea Vaya bus. There are, therefore, gaps with regards to the sharing of infrastructure between the two public transport modes and systems.


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