Intelligent Public Transportation Research Articles

Intelligent public transport cloud platform dispatching operation management system development

In recent years, with the rapid development of various cities, the operation and maintenance of the public transport system has become increasingly prominent problems, the development of the intelligent public transport system has been imperative. This paper takes the intelligent public transport system as the research object, using wireless network transmission technology, big data retrieval and processing, cloud computing platform and other technologies, analyzes the main requirements of the intelligent public transport system. This system adopts the classic three-layer architecture of the Internet of Things, namely, the perception layer, the network layer and the platform layer. Intelligent public transport dispatching system is the core system of intelligent public transport. The paper uses frog leaping algorithm as the dispatching algorithm to realize the function of public transport dispatching. Through the test, it can complete the task of adding or reducing vehicles according to the increase or decrease of passenger flow. The design and implementation of the cloud platform provides a strong support for the renewal and development of modern urban public transportation system, and has a certain guiding significance. As a complete system with more rapid and accurate management, more convenient and efficient operation, it improves the public transport dispatching ability and improves the travel experience of passengers, and has a cross-era significance for the development of urban public transportation.

Research and Simple Calculations on Public Transport Card Data

Big data is one of the hottest topics nowadays. Under the background of smart city and intelligent public transport, a large number of scholars begin to use big data of public transport in urban transport planning. This paper, combined with dozens of the latest journal papers, combined with their own understanding, focuses on the development of bus IC card big data, application status and research prospects, forming a reading report.

Driving Behavior Analysis of City Buses Based on Real-Time GNSS Traces and Road Information.

The driving behavior of bus drivers is related to the safety of all passengers and regulation of urban traffic. In order to analyze the relevant characteristics of speed and acceleration, accurate bus trajectories and patterns are essential for driver behavior analysis and development of effective intelligent public transportation. Exploiting real-time vehicle tracking, this paper develops a platform with vehicle-mounted terminals using differential global navigation satellite system (DGNSS) modules for driver behavior analysis. The DGNSS traces were used to derive the vehicle trajectories, which were then linked to road information to produce speed and acceleration matrices. Comprehensive field tests were undertaken on multiple bus routes in urban environments. The spatiotemporal results indicate that the platform can automatically and accurately extract the driving behavior characteristics. Furthermore, the platform’s visual function can be used to effectively monitor driving risks, such as speeding and fierce acceleration, in multiple bus routes. The details of the platform’s features are provided for intelligent transport system (ITS) design and applications.

Privacy and Security Management in Intelligent Transportation System

Metropolitan transportation is a dynamic and non-linear complex system. In such a system, there are possibilities of altering, monitoring, forging, and accessing private, public, and resource information of depot staff and communicating agents by unauthorized agencies the metropolitan area. Existing solutions for the management of security and privacy of communicating agents in an intelligent public transportation system (IPTS) do not adapt to the dynamic occurrence of real-time event information. Therefore, existing solutions are insufficient to address the randomness and other characteristics pertaining to a non-linear complex system such as an intelligent transport system (ITS). To this end, in this article, we propose a privacy and security management scheme for ITS depot staff in a metropolitan area. This scheme provides privacy and security management in the transportation industry during the exchange of information regarding vehicle allocation, dispatch, revocation, financial, and maintenance. Absence of such an aforementioned scheme leads to anomalies such as impersonation of genuine staff and malicious and greedy staff. We use the emergent intelligence (EI) technique to collect, analyze, and share information, and take dynamic decisions during the security and privacy management of the depot staff in transport industries. The EI technique provides autonomy, flexibility, adaptiveness, robustness, self-organization, and evolution to address the randomness and behavior of a non-linear complex system pertaining to the transportation system in metropolitan areas. The proposed scheme is implemented using the Crypto++ package, and the results indicate that the scheme efficiently manages the security and privacy in transportation industries in metropolitan areas.

Bus travel time prediction with real-time traffic information

An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate travel time information. Knowing arrival times of public vehicles in advance can reduce waiting times of passengers and attract more people to take public transport. Existing approaches have two main limitations in the field of bus travel time prediction. First, influenced by increasingly complex real-time traffic factors and sparsity of real-time data, bus travel times can be difficult to predict accurately in modern cities. Second, bus dwelling and transit times are predominantly affected by different factors and hence have different patterns, but little research focuses on how to divide dwelling and transit areas and to build independent models for them. Consequently, we propose a novel segment-based approach to predict bus travel times using a combination of real-time taxi and bus datasets, that can automatically divide bus routes into dwelling and transit segments. Two models are built to predict them separately by incorporating different impact traffic factors. We evaluate our approach using real-world trajectory datasets, collected in Xi’an, China during June 2017. Compared to existing methods, the experimental results reveal that our approach improves the accuracy of bus travel time prediction, especially under abnormal traffic conditions.

MOBILIDADE URBANA: ESTUDO DA IMPORTÂNCIA DE SERVIÇOS BASEADOS EM TECNOLOGIA PARA OS GÊNEROS

No fenômeno de urbanização, a mobilidade urbana é uma das principais áreas afetadas. O Brasil apresenta um cenário de urbanização acelerada, intensificando a redução da mobilidade. Pouco se conhece sobre o reflexo desse crescimento para os diferentes gêneros, mas sabe-se que a tecnologia pode ser um aliado para a redução das diferenças de gênero nos serviços de mobilidade urbana. Nesse cenário, o artigo busca investigar a existência de diferença de perspectivas de gênero em relação à importância de tecnologia em serviços de mobilidade urbana. A análise se desenvolve com uma abordagem quantitativa com dados secundários. Tendo o Brasil como pano de fundo deste artigo, utilizou-se dados coletados de 14 cidades, no período de 2014/15. Resultados sugerem a existência de diferença de perspectivas de gênero em relação à importância de tecnologia em alguns serviços de mobilidade urbana, mais especificamente em transporte público inteligente, gestão de frotas, veículo elétrico e bicicletas.

A New Framework of Intelligent Public Transportation System Based on the Internet of Things

As a new paradigm of information technology, the Internet of Things (IoT) is attracting increasing attention from various industrial fields. It is foreseeable that the applications of IoT will be prevalent in the public transportation system and bring changes to the system in the near future. In this paper, we analyze the impact of IoT environment on the public transportation system, propose a new framework of the intelligent public transportation system based on IoT, and present the deployment of the elements, the communication network, and the three-tier architecture of the system in detail. We also present the information flow, technical scheme, optimization model, and algorithm of the main modules of dynamic optimization of the system. The innovative points of this paper lie in: (1) a new framework for public transport system based on IoT, which integrates the scheduling problems of subway, bus, and shared taxi, is proposed for better-coordinated transfer solutions; (2) transport flow prediction methods based on periodic patterns mining is proposed for road flow analysis and passenger flow analysis, and; (3) mathematical model and DSS-based evolutionary computation algorithm are proposed for solving the dynamic bus scheduling and controlling problems. The proposed intelligent transport system based on IoT can assist the decision makers to increase the utilization rate of the transport resources, improve the efficiency of scheduling, and reduce passengers’ traveling time.

Double Auction-Based Pricing Mechanism for Autonomous Vehicle Public Transportation System

The autonomous vehicle (AV) is expected to be an important “building block” of the future smart city. Recently, an AV-based public transportation system has been successfully developed to provide precise, effective, and intelligent public transportation services. For better quality of service, the system encourages market competition by accommodating multiple AV operators. To facilitate the pricing process, a pricing mechanism was developed but it can only process one service request each time. This can significantly impair the overall passenger admissibility, especially when there are many outstanding requests to be processed. In this paper, we redesign the pricing mechanism for handling multiple requests simultaneously. To do this, we formulate the key component of the mechanism, i.e., request-AV allocation, as a double combinatorial auction-based process. We construct a new winner determination problem that can accommodate requests of different AV service types. We also investigate its duality to devise an efficient service charge determination rule. We evaluate the performance of the proposed mechanism and charging rule with extensive simulations. The results show that the mechanism can result in better social welfare than the original scheme. Moreover, we examine the computational time required and the percentage of successfully served passengers. The simulations demonstrate that the mechanism can make the AV public transportation system more practical.

Server-Based Intelligent Public Transportation System with NFC

Mass transit systems have existed for over a century. In the traditional payment structure, tickets, cards and tokens are used for public transportation. Discounts for specific type of riders and benefits coming with transfer fee are only available with cards specifically designed for each city. Balances are kept on fare media, and the cost of ride is calculated and deducted by the validators while getting on the vehicle. This paper proposes a novel serverbased fare calculation and user management system for providing personalized exclusive privileges to riders without getting the special card of the province and allows passengers to benefit from all the advantages of the cities' transport pricing. In addition, it removes the obstacles that prevent the use of new technologies such as contactless bank cards and Near Field Communication (NFC) standard like a traditional province card in public transport. The installation of the system with NFC usage was applied on five different cities in Turkey. By collecting and analyzing real-world data, the association rules were found for the proposed system using FP-Growth algorithm as a data mining technique. This paper also presents a comparison of the proposed system with the existing systems to show its advantages.

Design of Intelligent Public Transportation System based on ZigBee Technology

Design of Intelligent Public Transportation System based on ZigBee Technology

The strategy of sustainable public transportation system in the city of Rzeszów in the frame of Eastern Poland 2014-2020 Operational Programme

In the frame of Action 2.1. “Sustainable public transportation” of the II Priority Axis of the Eastern Poland 2014-2020 Operational Programme five viovodeships submitted 14 applications of investment projects of the total value of 2,1 billion PLN. The main aim of the Programme is to support complex projects of ecological integrated public transportation systems in the broad perspective of sustainable development. Three applications were submitted by the City of Rzeszów. The main aims of the projects are: the development of Intelligent Public Transportation System in Rzeszów, creation of the Communication Centre in Rzeszów as well as bus fleet modernization. The article refers to the characteristics of the projects in the context of current financial perspective of Eastern Poland Operational Programme.

Research of Intelligent Public Transportation Service Design in China

In order to build a user-friendly and urban intelligent public transportation service system, this paper, treating the analysis of public transportation system of Beijing as a breakthrough point, provides a perfect service design of public transportation and the optimization of travel route basing on the user's habits, scheduling and health conditions. All the travel data of traffic system and users’ data such as health indicators are obtained from cloud platform. The development and application prospect of intelligent public transportation embodies the user-centered design concept. This paper preliminary develops a user-friendly and efficient design system of urban public transportation services with the trait of intelligence.

User and Operator Perspectives in Public Transport Timetable Synchronization Design

Increased traffic congestion and the adverse environmental effect of private cars have resulted in an increasingly pressing need for an integrated public transport (PT) system that is more attractive than private car use. The intelligent PT timetable synchronization design is one way to improve the integration and service quality of a PT system with increased connectivity, synchronization, and attractiveness toward far more user-oriented, system-optimal, smart, and sustainable travel. This paper proposes a new multicriteria optimization modeling framework with a systems approach for the PT timetable synchronization design problem. A new bi-objective model is proposed; it takes PT user and operator interests into account. The nature of the overall mathematical formulations of the new model is bi-objective nonlinear integer programming with linear constraints. On the basis of the characteristics of the model, a novel deficit function (DF)–based sequential search method is proposed to solve the problem so as to obtain Pareto-efficient solutions. The visual nature of the proposed DF and the two-dimensional fleet-cost space graphical techniques can facilitate the decision-making process of PT schedulers for finding a desired solution. Numerical results from a small PT network demonstrate that the proposed mathematical programming model and solution method are effective in practice and have the potential to be applied in large-scale and realistic networks.

An Efficient Method of Sharing Mass Spatio-Temporal Trajectory Data Based on Cloudera Impala for Traffic Distribution Mapping in an Urban City.

The efficient sharing of spatio-temporal trajectory data is important to understand traffic congestion in mass data. However, the data volumes of bus networks in urban cities are growing rapidly, reaching daily volumes of one hundred million datapoints. Accessing and retrieving mass spatio-temporal trajectory data in any field is hard and inefficient due to limited computational capabilities and incomplete data organization mechanisms. Therefore, we propose an optimized and efficient spatio-temporal trajectory data retrieval method based on the Cloudera Impala query engine, called ESTRI, to enhance the efficiency of mass data sharing. As an excellent query tool for mass data, Impala can be applied for mass spatio-temporal trajectory data sharing. In ESTRI we extend the spatio-temporal trajectory data retrieval function of Impala and design a suitable data partitioning method. In our experiments, the Taiyuan BeiDou (BD) bus network is selected, containing 2300 buses with BD positioning sensors, producing 20 million records every day, resulting in two difficulties as described in the Introduction section. In addition, ESTRI and MongoDB are applied in experiments. The experiments show that ESTRI achieves the most efficient data retrieval compared to retrieval using MongoDB for data volumes of fifty million, one hundred million, one hundred and fifty million, and two hundred million. The performance of ESTRI is approximately seven times higher than that of MongoDB. The experiments show that ESTRI is an effective method for retrieving mass spatio-temporal trajectory data. Finally, bus distribution mapping in Taiyuan city is achieved, describing the buses density in different regions at different times throughout the day, which can be applied in future studies of transport, such as traffic scheduling, traffic planning and traffic behavior management in intelligent public transportation systems.

An Attitude of Subcarpathian’s Residents to Sustainable Solutions for Urban Transport

Sustainable development is a concept that appears more frequently in the context of urbanized cities. Rational management of city logistics and urban population change of consciousness becomes a priority. The purpose of this publication is to emphasize the need for changes in city logistics, to characterize the concept of sustainable transport and to present the results of research on: the views of residents of Podkarpacie on choosing alternatives to the car, and urban transport concept. The research process was conducted in two stages. The first stage of the research was conducted in 2014 within its scope included the study compared the inhabitants of Podkarpacie to sustainable forms of transport. The second stage of the study carried out in 2015 was designed to examine whether the implementation of Intelligent Public Transport Management System, has changed the ratio of respondents to sustainable transport.

An Attitude of Subcarpathian’s Residents to Sustainable Solutions for Urban Transport

Sustainable development is a concept that appears more frequently in the context of urbanized cities. Rational management of city logistics and urban population change of consciousness becomes a priority. The purpose of this publication is to emphasize the need for changes in city logistics, to characterize the concept of sustainable transport and to present the results of research on: the views of residents of Podkarpacie on choosing alternatives to the car, and urban transport concept. The research process was conducted in two stages. The first stage of the research was conducted in 2014 within its scope included the study compared the inhabitants of Podkarpacie to sustainable forms of transport. The second stage of the study carried out in 2015 was designed to examine whether the implementation of Intelligent Public Transport Management System, has changed the ratio of respondents to sustainable transport.

Integrated ubiquitous connectivity and centralised information platform for intelligent public transportation systems

The study proposes an easily deployable platform for providing ubiquitous connectivity to public transportation vehicles. The platform is capable to exploit the connectivity offered by heterogeneous wireless networks owned by different operators and it integrates a centralised information system (CIS) which stores the context information (CI) characterising the heterogeneous networks. The study describes the network and traffic monitoring processes, proposes a synchronisation mechanism between the mobile routers of the vehicles and the CIS and a vertical handover (VHO) mechanism adapted to the developed architecture. Simulation results based on CI acquired during field tests are reported in the study. These results validate the developed VHO mechanism using the locally available or the centralised CI.

Public Transportation Management System based on GPSWiFi and Open Street Maps

Information technology (IT) has transformed many industries, from education to health care to government, and is now in the early stages of transforming transportation systems. Transportation faces many issues like high accidents rate in general, and much more rate in developing countries due to the lack of proper infrastructure for roads, is one of the reasons for these crashes. In this project we focus on public transportation vehicles - such as buses, and mini-buses -, where the goal of the project is to design and deploy a smart/intelligent unit attached to public vehicles by using embedded microcontroller and sensors and empowering them to communicate with each other through wireless technologies. The proposed Offline Intelligent Public Transportation Management System will play a major role in reducing risks and high accidents rate, whereas it can increase the traveler satisfactions and convenience. Here, we propose a method, software as well as a framework as enabling technologies to for evaluation, planning and future improvement the public transportation system. Our system even though can be as whole or parts can be applied all over the world we mostly target developing countries. This limitation mostly appear by consider off-shelf technologies such as WiFi, GPS and Open Street Maps (OSM).

Context-based service for intelligent public transportation systems

Nowadays, cities become ever more populated, starting to represent an enormous source of pollution, congestion and overcrowding. Technology is evolving at a very fast speed; most of the people have a smartphone and are using it on a daily basis. In this paper, we describe a service designed to assist citizens take informed decisions regarding the means of transportation, to make them more aware of public transportation alternatives. We propose techniques to deal with mobility of people (monitor individual and group travelling conditions), and propose alternative means of transportation considering the active use of context information. The idea is to use the mobile apps capable of understanding the user's environment and reacting accordingly.

Rural Intelligent Public Transportation System Design

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.