scholarly journals The UbiBus Project: Using Context and Ubiquitous Computing to build Advanced Public Transportation Systems to Support Bus Passengers

2012 ◽  
Author(s):  
Vaninha Vieira ◽  
Ana Carolina Salgado ◽  
Patricia Tedesco ◽  
Valeria Times ◽  
Carlos Ferraz ◽  
...  
Keyword(s):  
Ubiquitous Computing ◽  
Real Time ◽  
Public Transportation ◽  
Intelligent Transportation Systems ◽  
Smart Cities ◽  
Time Factors ◽  
Transportation Systems ◽  
Urban Mobility ◽  
Public Transportation Systems ◽  
Real Time Information

Urban mobility is a problem that affects all cities. Providing real time information that can assist citizens on planning their trips by choosing times and itineraries more appropriate to their needs are essential on smart cities. Our project, named UbiBus, investigates how Computational Context and Ubiquitous Computing can be applied to Intelligent Transportation Systems to aid bus passengers mobility on cities, since dynamic real-time factors can affect transportation means. This paper describes the overall ideas concerning the UbiBus Project and presents some of the applications under development with their preliminary results.

scholarly journals A Comprehensive Comparative Analysis of the Basic Theory of the Short Term Bus Passenger Flow Prediction

Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 369 ◽  
Author(s):  
Huawei Zhai ◽  
Licheng Cui ◽  
Yu Nie ◽  
Xiaowei Xu ◽  
Weishi Zhang
Keyword(s):  
Real Time ◽  
Public Transportation ◽  
Transportation Systems ◽  
Training Data ◽  
Time Data ◽  
Short Term ◽  
Passenger Flow ◽  
Modeling Process ◽  
Automatic Passenger Counters ◽  
Public Transportation Systems

In order to meet the real-time public travel demands, the bus operators need to adjust the timetables in time. Therefore, it is necessary to predict the variations of the short-term passenger flow. Under the help of the advanced public transportation systems, a large amount of real-time data about passenger flow is collected from the automatic passenger counters, automatic fare collection systems, etc. Using these data, different kinds of methods are proposed to predict future variations of the short-term bus passenger flow. Based on the properties and background knowledge, these methods are classified into three categories: linear, nonlinear and combined methods. Their performances are evaluated in detail in the major aspects of the prediction accuracy, the complexity of training data structure and modeling process. For comparison, some long-term prediction methods are also analyzed simply. At last, it points that, with the help of automatic technology, a large amount of data about passenger flow will be collected, and using the big data technology to speed up the data preprocessing and modeling process may be one of the directions worthy of study in the future.

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.

Impact of Travel Time Models on Quality of Real-Time Routing Instructions

2003 ◽  
Vol 1857 (1) ◽  
pp. 21-29 ◽  
Author(s):  
Elise Miller-Hooks ◽  
Baiyu Yang
Keyword(s):  
Real Time ◽  
Intelligent Transportation Systems ◽  
Communication Systems ◽  
Service Providers ◽  
A Priori ◽  
Information Service ◽  
Small Neighborhood ◽  
Transportation Systems ◽  
Travel Times ◽  
Real Time Information

Mobile communication systems coupled with intelligent transportation systems technologies can permit information service providers to supply real-time routing instructions to suitably equipped vehicles as real-time travel times are received. Simply considering current conditions in updating routing decisions, however, may lead to suboptimal path choices, because future travel conditions likely will differ from that currently observed. Even with perfect and continuously updated information about current conditions, future travel times can be known a priori with uncertainty at best. Further, in congested transportation systems, conditions vary over time as recurrent congestion may change with a foreseeable pattern during peak driving hours. It is postulated that better, more robust routing instructions can be provided by explicitly accounting for this inherent stochastic and dynamic nature of future travel conditions in generating the routing instructions. It is further hypothesized that nearly equally good routing instructions can be provided by collecting real-time information from only a small neighborhood within the transportation system as from the entire system. Extensive numerical experiments were conducted to assess the validity of these two hypotheses.

scholarly journals Visualization of Urban Mobility Data from Intelligent Transportation Systems

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 332 ◽  
Author(s):  
Thiago Sobral ◽  
Teresa Galvão ◽  
José Borges
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Urban Mobility ◽  
Multiple Perspectives ◽  
Data Types ◽  
Mobility Data ◽  
Extensive Body ◽  
Visualization Techniques

Intelligent Transportation Systems are an important enabler for the smart cities paradigm. Currently, such systems generate massive amounts of granular data that can be analyzed to better understand people’s dynamics. To address the multivariate nature of spatiotemporal urban mobility data, researchers and practitioners have developed an extensive body of research and interactive visualization tools. Data visualization provides multiple perspectives on data and supports the analytical tasks of domain experts. This article surveys related studies to analyze which topics of urban mobility were addressed and their related phenomena, and to identify the adopted visualization techniques and sensors data types. We highlight research opportunities based on our findings.

scholarly journals Comparative Analysis of Sharing Bike Systems Based on Sustainability Indicators

2019 ◽  
Vol 8 (5) ◽  
pp. 445
Author(s):  
Yurui HAN ◽  
Serge ROHMER
Keyword(s):  
Public Transportation ◽  
Transportation Systems ◽  
Sustainability Indicators ◽  
Point Of View ◽  
Sustainable Urban Development ◽  
Urban Mobility ◽  
The Sustainable Development ◽  
Bike Sharing ◽  
Mobility System ◽  
Public Transportation Systems

With the growing importance and widely application of the sharing bike system in public transportation systems in cities, many relevant problems emerged, which brought serious influence to the sustainable development of the system. The aim of this paper is first to research the existing sustainability indicators of urban mobility system through literature reviews, next it is to redefine and select the related indicators of sharing bike system through deeply understanding the evolution of bike sharing systems in cities from a sustainable point of view. Then, indicators are selected and applied to better understand the generations of sharing bike systems after the description of the different generations of sharing bike systems. The comparison highlights which characteristics of sharing bike system should be considered to adopt to a sustainable urban development and which features of the sharing bike system could need improvement and change to cater to active demand of the city development.Keyword: sustainability, urban mobility, sharing bike system, indicators,

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.

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.

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.

scholarly journals Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Muhammad Alam ◽  
Davide Moroni ◽  
Gabriele Pieri ◽  
Marco Tampucci ◽  
Miguel Gomes ◽  
...  
Keyword(s):  
Real Time ◽  
Intelligent Transportation Systems ◽  
Urban Areas ◽  
Traffic Management ◽  
Smart Cities ◽  
Field Trials ◽  
Transportation Systems ◽  
Traffic Load ◽  
Daily Lives ◽  
Smart Parking

Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new architecture where the intelligence is distributed and the decisions are decentralized. The proposed architecture is scalable since the incremental addition of new peripheral subsystems is supported by the introduction of gateways which requires no reengineering of the communication infrastructure. The proposed architecture is deployed to tackle the problem of traffic management inefficiency in urban areas, where traffic load is substantially increased, by vehicles moving around unnecessarily, to find a free parking space. This can be significantly reduced through the availability and diffusion of local information regarding vacant parking slots to drivers in a given area. Two types of parking systems, magnetic and vision sensor based, have been introduced, deployed, and tested in different scenarios. The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.

Sign in / Sign up

Export Citation Format

Share Document