Development Of Intelligent Transportation Systems Research Articles

An Entropy-Based Approach for Evaluating Travel Time Predictability Based on Vehicle Trajectory Data

With the great development of intelligent transportation systems (ITS), travel time prediction has attracted the interest of many researchers, and a large number of prediction methods have been developed. However, as an unavoidable topic, the predictability of travel time series is the basic premise for travel time prediction, which has received less attention than the methodology. Based on the analysis of the complexity of the travel time series, this paper defines travel time predictability to express the probability of correct travel time prediction, and proposes an entropy-based method to measure the upper bound of travel time predictability. Multiscale entropy is employed to quantify the complexity of the travel time series, and the relationships between entropy and the upper bound of travel time predictability are presented. Empirical studies are made with vehicle trajectory data in an express road section to shape the features of travel time predictability. The effectiveness of time scales, tolerance, and series length to entropy and travel time predictability are analyzed, and some valuable suggestions about the accuracy of travel time predictability are discussed. Finally, comparisons between travel time predictability and actual prediction results from two prediction models, ARIMA and BPNN, are made. Experimental results demonstrate the validity and reliability of the proposed travel time predictability.

The impact of Intelligent Transport Systems to reduce congestion in cities

The dynamic development of urban areas has created the need to adapt computer systems used to increased passenger traffic. Increasingly common phenomenon of congestion, contributed to intensify efforts to improve the efficiency of the control flows in agglomerations. For this purpose cities begin to use more and more modern-solving software to improve the functioning of public transport. The aim of the article is to assess and review of current solutions that can be successfully implemented in communication systems, cities in Poland. The publication is also intended to determine the prospects for the development of intelligent transport systems in the future as well as the effects resulting from their continued use.

Establishing IEEE802.11p Test Platform Based on GNU Radio and USRP

With the development of Intelligent Transport System (ITS), IEEE802.11p has just been approved as an international standard. However there are still challenging problems to be solved, for example high Doppler frequency shift and high speed hand-off. This paper proposed a method to establish a test platform based on GNU Radio and USRP1.1 to facilitate us further study in this field. The test platform established by us has been verified in two scenarios: low level TCP/IP communication and chat software IPTUX. The results show the test platform established in this paper works well and the average time consumed is 25.15ms for software processing reasons.

PRZESŁANKI I UWARUNKOWANIA ROZWOJU EKOSYSTEMÓW MOBILNOŚCI W OPARCIU O INTELIGENTNE SYSTEMY TRANSPORTOWE

The development of mobility ecosystems is a consequence of the development of intelligent transport sys- tems (ITS), which are one of the tools used to achieve the long-term goals of the EU’s common transport policy. The development of technologies related to mobile devices and universal access to the Internet cre- ates a basis for offering new services in the transport sector. Their development and dissemination requires system integration on three levels: institutional, technological and operational. Example of activities in this direction is the EU initiative C-ITS Platform and mobility ecosystems operating on the basis of Mobility as a service (MaaS) services. The rationale and effects of these innovative solutions are the main focus of this article.

Heavy-Vehicle Gap Control for Bridge Loading Mitigation

The study of traffic congestion has principally emphasised the effects on traffic operation and control, safety, economic and environmental issues. The effects of traffic congestion on road infrastructure, however, have not received as much attention. The development of Intelligent Transportation Systems has the potential of drastically reducing bridge loading and extending the lifetime of ageing structures.

Establishing an Intelligent Transportation System With a Network Security Mechanism in an Internet of Vehicle Environment

The Internet of Vehicle (IoV) utilizes networks to conduct message exchange and related services or application. In recent years, smart cities and IoVs have become areas of interest in the new generation Internet of Things development, especially since the development of intelligent transportation system has focused on bettering traffic conditions. This paper proposes establishing an intelligent transportation system with a network security mechanism in an IoV environment, with emphasis on the following aspects: 1) this paper integrates intelligent transportation systems in traffic signal control to aid emergency vehicles in more promptly arriving at its destination; 2) in the case of traffic incidents, this paper’s approach allows regular vehicles to obtain proof of incident from pertaining authorities and learn about nearby vehicles global positioning system information, such as position and speed, and utilize their car camcorder data for proving purposes; and 3) this paper combines roadside units (RSUs) with traffic signal control and transmits important information to the certificate authority (CA) for storage. Given that RSUs are limited in computation ability and storage space, we can assess and filter the information before sending it to the CA, reducing RSUs computational burden and storage space usage. This paper satisfies IoVs network security requirements of authentication, non-repudiation, conditional anonymity, and conditional untraceability, and, as seen from experiment results, the proposed method is superior to that of other studies.

Development of Standards and their Harmonization with International Standards as a Necessary Condition of Normative and Technical Support in Construction and Development of Intelligent Transport Systems in Russia

Abstract The paper discusses the Russian experience of standardization in the field of satellite navigation and intelligent transport systems for motor vehicles. Work on standardization of technical committees of the Federal Agency on Technical Regulating and Metrology in these fields is described. Directions of work on harmonization of standards with international standards of ISO and CEN are shown. Experience of the Czech Republic on standardization within CEN and ISO is described.

Design of a Multi-layer Lane-Level Map for Vehicle Route Planning

With the development of intelligent transportation system, there occurs further demand for high precision localization and route planning, and simultaneously the traditional road-level map fails to meet with this requirement, by which this paper is motivated. In this paper, t he three-layer lane-level map architecture for vehicle path guidance is established, and the mathematical models of road-level layer, intermediate layer and lane-level layer are designed considering efficiency and precision. The geometric model of the lane-level layer of the map is characterized by Cubic Hermite Spline for continuity. A method of generating the lane geometry with fixed and variable control points is proposed, which can effectively ensure the accuracy with limited num ber of control points. In experimental part, a multi-layer map of an intersection is built to validate the map model, and an example of a local map was generated with the lane-level geometry.

Innovative Development of Intelligent Transport Systems Based on Biocybernetical Vehicle Control Systems

In recent years rapid development of unmanned vehicles enables to set a task of creating prospective intelligent transportation systems (ITS) based on unconventional, hybrid approaches enabling to combine macro traffic control (T) at road and transport conditions with fine adjustment at the micro-level of physiological and intellectual actions and decisions taken by the driver. The work presents grounds for creating a biocybernetical management system as an innovative development of unmanned cars to ensure traffic safety. It examines a uniquely designed architecture of the biocybernetical management system together with hardware and software architecture and the structure of the unmanned car system based on it.

Localization Based on Magnetic Markers for an All-Wheel Steering Vehicle.

Real-time continuous localization is a key technology in the development of intelligent transportation systems. In these systems, it is very important to have accurate information about the position and heading angle of the vehicle at all times. The most widely implemented methods for positioning are the global positioning system (GPS), vision-based system, and magnetic marker system. Among these methods, the magnetic marker system is less vulnerable to indoor and outdoor environment conditions; moreover, it requires minimal maintenance expenses. In this paper, we present a position estimation scheme based on magnetic markers and odometry sensors for an all-wheel-steering vehicle. The heading angle of the vehicle is determined by using the position coordinates of the last two detected magnetic markers and odometer data. The instant position and heading angle of the vehicle are integrated with an extended Kalman filter to estimate the continuous position. GPS data with the real-time kinematics mode was obtained to evaluate the performance of the proposed position estimation system. The test results show that the performance of the proposed localization algorithm is accurate (mean error: 3 cm; max error: 9 cm) and reliable under unexpected missing markers or incorrect markers.

Development of Intelligent Transport System for Detection System Location Traffic Accidents

Development of Intelligent Transport System for Detection System Location Traffic Accidents

Using data from multiplex networks on vehicles in road tests, in intelligent transportation systems, and in self-driving cars

The possibility of using data from multiplex networks on vehicles in road tests, in the development of intelligent transportation systems, and in control systems for autonomous (self-driving) vehicles is considered.

Region based find and spray scheme for co-operative data communication in vehicular cyber-physical systems

AbstractSmart transportation in Vehicular Cyber Physical Systems (VCPS) are addressing a range of problems including reducing traffic accidents, congestion, fuel consumption, time spent on traffic jams, and to improve transportation safety. Smart transportation VCPS is expected to contribute an important role in the design and development of intelligent transportation systems. Intermittently Connected Vehicular Networks (ICVNs) are a kind of intelligent transportation systems, where due to mobility of vehicles there may be disconnections among the source and destination vehicles. A multi-hop scenario is used here, where a stationary road side unit exchanges data packets with a destination outside its communication range, using passing-by vehicles as information carriers. In order to deal with these ICVNs, an efficient routing scheme is necessary to withstand the maximum delay. We propose a routing scheme, which makes use of the movement history among the regions for routing a message. The proposed scheme ...

Developmental pattern and international cooperation on intelligent transport system in China

Transport plays a key role in our lives, transforms our outlook and has a massive impact on social and economic development. In addition, emerging of the technologies are also associated with the social and economic development. Accordingly, Intelligent Transport System (ITS) has evolved with Chinese social and economic transformation. In the 1990s, China started a large-scale construction of road infrastructure, and ITS was considered as a futuristic and expensive tool box. It was crucial for Chinese government to identify when and how to integrate new technologies into transportation systems and to formulate an appropriate development strategy, especially with ITS. Through more than 20 years development, Chinese ITS has gained remarkable achievements. This paper will firstly review the policy, strategy and experience of ITS development and deployment in China, then its import as well as the international cooperation and cases will be illustrated, and finally conclusions and experience will be presented, in particular to other developing countries, on ITS development.

High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction

Traffic flow prediction, which predicts the future flow using historic flows, is an important task in intelligent transportation systems (ITS). Efficient and accurate models for traffic flow prediction greatly contribute to the development of ITS. In this paper, we adopt the Gaussian process dynamical model (GPDM) to a fourth-order GPDM, which is more suitable for modeling traffic flow data. Specifically, the latent variables in the fourth-order GPDM is a fourth-order Markov Gaussian process, and the weighted $k$ - NN is incorporated in the model to predict latent variables for efficient prediction. After training the model, the future flow is estimated by the average of the results predicted by the fourth-order GPDM and $k$ - NN. Compared with other popular methods, the proposed method performs best and yields significant improvements of prediction performance.

RESEARCH EFFORTS ON INTELLIGENT TRANSPORTATION SYSTEM IN NIGERIA: DEVELOPMENT OF TRIP PLANNING MODELS

The critical situation of unwelcome frustration experienced by urban trip makers and roadside dwellers alike, calls for a very strong push by all stakeholders in the transportation sector to enhance the service performance of transportation facilities using Intelligent Transportation Systems (ITS). Needed strategies for successful ITS implementation in both developed and developing nations, include but not limited to policy formulation and planning, funding of ITS projects, development and deployment of research products, system performance measurement, optimization of the performance of existing infrastructure, capacity building, etc. which could be much promoted with research efforts. Advanced Public Transportation System (APTS) and Advanced Traveller Information System (ATIS) categories as products of research on ITS were developed with data derived from urban trip makers on captive corridors, both in Ilorin, Kwara State and Minna, Niger State, Nigeria. The fundamental basis and status of the research activities targeted at developing and deploying the ITS in Nigeria are highlighted in the paper. http://dx.doi.org/10.4314/njt.v35i3.4

Effect of intelligent transport systems on traffic safety

One of the biggest problems of constantly growing transport sector is traffic safety. Innovative technologies are an effective tool to deal with the following issue. In order to ensure efficient and coordinated development of intelligent transport systems, it is essential to know their individual performance and impact on traffic safety. This article gives the summary of the effect of intelligent transport systems on road traffic safety. The aim of the research is to highlight intelligent transport systems and intelligent transport systems applications which have the greatest positive impact on traffic safety. To achieve this aim, meta-analysis of previous studies and analysis of experts interviews was carried out. The research consider the following thirteen driver support and control systems regarding their potentials to reduce the number of fatalities: average speed control system, stationary speed cameras, “Alcolock” ‒ application of drunk driver detection, “eCall” system, variable speed limit sign, red light violation detection cameras, forbidden maneuver detection system, vehicle identification system, variable message boards, intelligent road studs, incident detection system, weighin- motion system and seat belt control system.

Street Viewer: An Autonomous Vision Based Traffic Tracking System.

The development of intelligent transportation systems requires the availability of both accurate traffic information in real time and a cost-effective solution. In this paper, we describe Street Viewer, a system capable of analyzing the traffic behavior in different scenarios from images taken with an off-the-shelf optical camera. Street Viewer operates in real time on embedded hardware architectures with limited computational resources. The system features a pipelined architecture that, on one side, allows one to exploit multi-threading intensively and, on the other side, allows one to improve the overall accuracy and robustness of the system, since each layer is aimed at refining for the following layers the information it receives as input. Another relevant feature of our approach is that it is self-adaptive. During an initial setup, the application runs in learning mode to build a model of the flow patterns in the observed area. Once the model is stable, the system switches to the on-line mode where the flow model is used to count vehicles traveling on each lane and to produce a traffic information summary. If changes in the flow model are detected, the system switches back autonomously to the learning mode. The accuracy and the robustness of the system are analyzed in the paper through experimental results obtained on several different scenarios and running the system for long periods of time.

Development of Intelligent Transportation System for Improving Average Moving and Waiting Time with Artificial Intelligence

Background: Real time traffic control is an important tool of Intelligent Transportation System (ITS). The development of system for controlling the urban traffic dynamically provides not only the safety for traffic, but also saves the time, money and provides polluted free environment. This paper describes the development of dynamic and robust traffic management system based on fuzzy logic approach. Method: Knowledge based system have been extensively adopted as approach for real time decision making system. Findings: As the conventional dynamic controllers were used sensors which are having certain limitations, so these limitations can be overcome by vision sensors i.e. camera. Also image and vision computing plays an important role in monitoring and measuring the traffic density on road. Problems were identified with the current traffic control system at the intersection on road and this necessitated the design and implementation of a new system to solve the congestion problems. Improvements: The performance of the proposed framework is evaluated with LabVIEW and MATLAB test bed. The results of extensive simulations using the proposed approach indicate that the system improves the average moving time and decrease the average waiting time than the controllers with conventional sensors.

An agent-based framework for cooperative planning of intermodal freight transport chains

The recent development of Intelligent Transportation Systems offers the possibility of cooperative planning of multi-actor systems in a distributed framework, by enabling prompt exchange of information among actors. This paper proposes a modeling framework for cooperation in intermodal freight transport chains as multi-actor systems. In this framework, the problem of optimizing freight transportation is decomposed into a suitable set of sub-problems, each representing the operations of an actor which are connected using a negotiation scheme. A Discrete Event model is developed which optimizes the system on a rolling horizon basis to account for the dynamics of intermodal freight transport operations. This framework allows for an event driven short/medium term planning of intermodal freight transport chains. The proposed methodology is evaluated using a realistic case study, and the results are compared against the First-Come-First-Served strategy, highlighting the significance of cooperation in systems operating close to capacity.