Rural Intelligent Public Transportation System Design

2015 ◽  
Vol 8 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Leila Esmaeili ◽  
Seyyed AliReza Hashemi G.
Keyword(s):  
Public Transportation ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Trip Planning ◽  
Transportation Management ◽  
Transportation Services ◽  
Public Transportation System ◽  
Public Transportation Systems ◽  
Intercity Transportation

In order to improve the level of intelligence, availability, convenience, information and humanization of rural public transportation systems, they are more willing to use modern information and communicative technologies. In addition to management services, intelligent transportation systems can provide passengers, drivers and other institutions with other services such as trip planning, tracking and so forth. In this paper the authors have attempted to present a comprehensive design of rural ITS based on cloud and grid computing, RFID, GPS, GIS, etc. through e-commerce and particularly m-commerce in order to improve the rural transportation management and presentation of user-centric services. Also according to the design, intercity transportation services to passengers are re-engineered. The results show proposed design with distribution infrastructure improves the performance of e-commerce and ISs in transportation domain. The system designed on this paper regardless of the possible challenges could efficiently cover the problems of rural transportation of newly developing countries.

Rural Intelligent Public Transportation System Design

2015 ◽  
pp. 623-650
Author(s):  
Leila Esmaeili ◽  
Seyyed AliReza Hashemi G.
Keyword(s):  
Public Transportation ◽  
Intelligent Transportation Systems ◽  
Transportation Systems ◽  
Trip Planning ◽  
Transportation Management ◽  
Transportation Services ◽  
Public Transportation System ◽  
User Centric ◽  
Public Transportation Systems ◽  
Intercity Transportation

In order to improve the level of intelligence, availability, convenience, information and humanization of rural public transportation systems, they are more willing to use modern information and communicative technologies. In addition to management services, intelligent transportation systems can provide passengers, drivers and other institutions with other services such as trip planning, tracking and so forth. In this paper the authors have attempted to present a comprehensive design of rural ITS based on cloud and grid computing, RFID, GPS, GIS, etc. through e-commerce and particularly m-commerce in order to improve the rural transportation management and presentation of user-centric services. Also according to the design, intercity transportation services to passengers are re-engineered. The results show proposed design with distribution infrastructure improves the performance of e-commerce and ISs in transportation domain. The system designed on this paper regardless of the possible challenges could efficiently cover the problems of rural transportation of newly developing countries.

Creating Smart Cities with Intelligent Transportation Solutions

2011 ◽  
pp. 174-190 ◽  
Author(s):  
Leo Tan Wee Hin ◽  
R. Subramaniam
Keyword(s):  
Public Transportation ◽  
Intelligent Transportation Systems ◽  
Electronic Monitoring ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Transportation Systems ◽  
Signaling Systems ◽  
Public Transportation System ◽  
City State

Transportation is often the bane of urban societies. Traffic gridlocks and inadequate availability of a comprehensive and affordable public transportation system further accentuate the problem. This chapter focuses on the Singapore experience with intelligent transportation solutions to alleviate a range of problems, thus contributing to its positioning as a smart city. We focus on seven issues: public transportation using modern mass rapid transit trains; congestion control using electronic road pricing; electronic monitoring advisory systems to guide road users on adverse conditions or incidents on roads; computerized traffic signaling systems to streamline the throughput of vehicles in roadways; intelligent dispatch of taxis, which helps to minimize idle cruising time; parking guidance systems to alert motorists of the nearest car park, in the process decreasing the level of floating traffic on roads; and integrated ticketing systems to promote inter-modal transfer. A unique funding mechanism that has led to the evolution of a modern and efficient public transportation system is also elaborated. Being a city state and a living laboratory of intelligent transportation systems that have attracted international attention, it is suggested that there are some lessons to be drawn from the Singapore experience in managing transportation problems in smart cities.

Planning Innovative Public Transportation Systems for Arlington, Texas

1996 ◽  
Vol 1521 (1) ◽  
pp. 20-28
Author(s):  
David A. Faria ◽  
Wilma Smith
Keyword(s):  
Public Transportation ◽  
Transportation Systems ◽  
General Will ◽  
Transportation Services ◽  
The Public ◽  
Niche Concept ◽  
The Individual ◽  
Alternative Community ◽  
Public Transportation Systems ◽  
The City

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.

Internet-Based Decision Support for Advanced Public Transportation Systems Technology

2000 ◽  
Vol 1731 (1) ◽  
pp. 63-67 ◽  
Author(s):  
John R. Stone ◽  
Tahsina Ahmed ◽  
Anna Nalevanko
Keyword(s):  
Decision Support ◽  
Public Transportation ◽  
Intelligent Transportation Systems ◽  
Rural Areas ◽  
Transportation Systems ◽  
Fleet Size ◽  
Transportation Service ◽  
Decision Making Factors ◽  
Urban And Rural Areas ◽  
Public Transportation Systems

Intelligent transportation systems (ITS) have the potential to improve public transportation service and productivity in small urban and rural areas. Advanced technologies include computer-aided dispatch and scheduling software, automatic vehicle location via satellite, mobile data terminals, smart cards, and Internet technologies. Transit operators, especially those with smaller systems, may feel, however, that they lack the experience and technical background to implement ITS technologies. An extensive website is discussed that will help transit managers define their transit needs and choose potential technology solutions. The website is based on contemporary decision-support questionnaires and the experience of transit managers and researchers. Decision-making factors such as transit service area, service type, daily ridership, and fleet size provide a framework for matching appropriate technologies to transit-manager needs. Further, the website provides extensive tutorial information, technology specifications and costs, and vendor contacts. Perhaps most important, the website identifies small urban and rural transit managers who have been pioneers in ITS applications, summarizing their successes and failures. The website address is http://www2.ncsu.edu/eos/service/ce/research/stone_res/tahmed_res/www/index.html.

scholarly journals Towards a Better Understanding of Public Transportation Traffic: A Case Study of the Washington, DC Metro

Urban Science ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 65 ◽  
Author(s):  
Robert Truong ◽  
Olga Gkountouna ◽  
Dieter Pfoser ◽  
Andreas Züfle
Keyword(s):  
Public Transportation ◽  
Human Mobility ◽  
Principal Component ◽  
Transportation Systems ◽  
Traffic Prediction ◽  
Washington Dc ◽  
Trip Planning ◽  
Latent Features ◽  
Passenger Volume ◽  
Public Transportation Systems

The problem of traffic prediction is paramount in a plethora of applications, ranging from individual trip planning to urban planning. Existing work mainly focuses on traffic prediction on road networks. Yet, public transportation contributes a significant portion to overall human mobility and passenger volume. For example, the Washington, DC metro has on average 600,000 passengers on a weekday. In this work, we address the problem of modeling, classifying and predicting such passenger volume in public transportation systems. We study the case of the Washington, DC metro exploring fare card data, and specifically passenger in- and outflow at stations. To reduce dimensionality of the data, we apply principal component analysis to extract latent features for different stations and for different calendar days. Our unsupervised clustering results demonstrate that these latent features are highly discriminative. They allow us to derive different station types (residential, commercial, and mixed) and to effectively classify and identify the passenger flow of “unknown” stations. Finally, we also show that this classification can be applied to predict the passenger volume at stations. By learning latent features of stations for some time, we are able to predict the flow for the following hours. Extensive experimentation using a baseline neural network and two naïve periodicity approaches shows the considerable accuracy improvement when using the latent feature based approach.

scholarly journals Effects of Free-Floating Shared Bicycles on Urban Public Transportation

2019 ◽  
Vol 8 (8) ◽  
pp. 323 ◽  
Author(s):  
Cao ◽  
Ma ◽  
Huang ◽  
Lü ◽  
Chen
Keyword(s):  
Public Transportation ◽  
Sharing Economy ◽  
Transportation Systems ◽  
Problem Model ◽  
Last Mile ◽  
Service Areas ◽  
Public Transportation System ◽  
Shared Bicycle ◽  
Public Transportation Systems ◽  
The City

As a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certain extent. This paper analyses the spatial-temporal characteristics of shared bicycles in the city of Beijing by using kernel density estimation and statistical analysis methods. The maximum coverage location problem model is used to quantify the effects of shared bicycles on the subway and bus urban public transportation systems. The analysis results are of great importance to identify the effects of shared bicycle usage on an urban bus public transportation system from the view of space-time. The results show that (1) shared bicycles are largely located within 1.5 km from the subway station and 500 meters from the bus stations; (2) the number of the shared bicycle usage changes along with the distance from the subway and bus stations; (3) subway and bus stations are divided into six types based on the sink-source characteristics of shared bicycles; (4) the service areas of subway and bus stations are expanded by approximately 2.34 and 1.33 times, respectively, after the implementation of shared bicycles.

An Extensive Review on Data Mining Methods and Clustering Models for Intelligent Transportation System

2018 ◽  
Vol 27 (2) ◽  
pp. 263-273 ◽  
Author(s):  
Sesham Anand ◽  
P. Padmanabham ◽  
A. Govardhan ◽  
Rajesh H. Kulkarni
Keyword(s):  
Data Mining ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Optimal Number ◽  
Clustering Methods ◽  
Trip Planning ◽  
Data Mining Techniques ◽  
Selection Of

AbstractData mining techniques support numerous applications of intelligent transportation systems (ITSs). This paper critically reviews various data mining techniques for achieving trip planning in ITSs. The literature review starts with the discussion on the contributions of descriptive and predictive mining techniques in ITSs, and later continues on the contributions of the clustering techniques. Being the largely used approach, the use of cluster analysis in ITSs is assessed. However, big data analysis is risky with clustering methods. Thus, evolutionary computational algorithms are used for data mining. Though unsupervised clustering models are widely used, drawbacks such as selection of optimal number of clustering points, defining termination criterion, and lack of objective function also occur. Eventually, various drawbacks of evolutionary computational algorithm are also addressed in this paper.

scholarly journals Seamless Connectivity System for Intelligent Public Transportation Systems: Architecture and Mechanism Design

2014 ◽  
Vol 10 (3) ◽  
pp. 195 ◽  
Author(s):  
Zsuzsanna Ilona Kiss
Keyword(s):  
Public Transportation ◽  
Intelligent Transportation Systems ◽  
Experimental Tests ◽  
Future Internet ◽  
Transportation Systems ◽  
Architecture Design ◽  
Systems Architecture ◽  
Distributed Information ◽  
Fast Development ◽  
Public Transportation Systems

Providing ubiquitous connectivity to the passengers of public transportation vehicles is an important goal of thecommunication system designers in the context of fast development of the intelligent transportation systems and of the Future Internet communication technologies. This paper proposes the architecture of a connectivity system for public transportation communication services, the architecture design being considered on three distinct levels: system, functional and platform level. Theproposed system architecture specifies a minimal set of entities required to implement the envisaged connectivity solution and based on a functional analysis the subsystems and modules are derived. By mapping the functional architecture on the hardware components intended to be used the platform architecture is developed. The paper proposes also the design of the mechanisms which implement the inter-process communications, performthe acquisition and handling of the context information andimplement a distributed information system characterizing the heterogeneous networking environment. For other mechanisms, like decision and mobility management, the design principles are described. In order to validate the proposed architecture design and to check the correct functioning of the various subsystems and modules a few experimental tests are presented.

scholarly journals Intelligent Transportation Systems along with the COVID-19 Pandemic will Significantly Change the Transportation Market

2021 ◽  
Vol 15 (1) ◽  
pp. 11-15
Author(s):  
Yair Wiseman
Keyword(s):  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Transportation Services ◽  
Human Presence ◽  
Pros And Cons ◽  
Common Concept ◽  
Major Factors ◽  
New Generation ◽  
The Impact

Background: Reducing human presence in vehicles and transportation infrastructure is a common concept of Intelligent Transportation Systems and COVID-19 guidelines. However, the motivation for the reduced human presence is different. Intelligent Transportation Systems aim to improve transportation services with innovative technologies that can replace human handling and supervision. In contrast, COVID-19 guidelines aim to make the transportation means less busy, because a busy bus or a busy train means more opportunities for potential infection of passengers. Objective: The study aims to explain how the transportation market will be changed and why these changes are going to take place. Methods: The paper analyzes the current situation with its pros and cons and evaluates the ways in which the Intelligent Transportation Systems and the COVID-19 pandemic will affect this situation. A case study is also considered. Results: Intelligent Transportation Systems and the COVID-19 pandemic are two major factors in the transportation market that will significantly change the transportation means we know. Conclusion: It seems that the influence of the intense Intelligent Transportation Systems development and the impact of the COVID-19 outbreak is still underestimated by many governments; hence they continue to invest in traditional transportation instead of moving forward for a new generation of transportation.

Sign in / Sign up

Export Citation Format

Share Document