Modelling and Reasoning Techniques for Context – Aware Computing in Intelligent Transportation System

Road Traffic ◽

Contextual Information ◽

Road Transport ◽

Transportation System ◽

Transportation Systems ◽

Data Generation ◽

Raw Data

Abstract The emergence of IoT technology and recent advancement in sensor networks enabled transportation systems to a new dimension called Intelligent Transportation System (ITS). Due to increased usage of vehicles and communication among entities in road traffic scenarios, the amount of raw data generation in ITS is huge. This raw data are to be processed to infer contextual information and provide new services related to different modes of road transport such as traffic signal management, accident prediction, object detection etc.,. To understand the importance of context, this article aims to study context-awareness in the Intelligent Transportation System. We present a review on prominent applications developed in the literature concerning context – awareness in the intelligent transportation system. The objective of this survey article is (i) to highlight context and its features in ITS (ii) to address the applicability of modelling techniques and reasoning approaches in ITS (iii) to shed light on impact of IoT and machine learning in ITS development.

INTELLIGENT TRANSPORTATION SYSTEMS IN THE TRANSPORT PROCESS

Municipal economy of cities ◽

10.33042/2522-1809-2021-1-161-212-217 ◽

2021 ◽

Vol 1 (161) ◽

pp. 212-217

Author(s):

О. Stepanov ◽

А. Venger

Keyword(s):

Road Safety ◽

Transport Process ◽

Road Traffic ◽

Modern Society ◽

Transportation System ◽

Transportation Systems

The article is devoted to the consideration of the concept of "Intelligent transportation system" – ITS in modern society. The main world concepts of ITS development, which are aimed at the organization of road traffic in order to comply with road safety, are analyzed. The authors concluded that ITS is the most effective way to qualitatively solve road safety problems.

LPWAN-based hybrid backhaul communication for intelligent transportation systems: architecture and performance evaluation

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-021-01918-2 ◽

2021 ◽

Vol 2021 (1) ◽

Author(s):

Taghi Shahgholi ◽

Amir Sheikhahmadi ◽

Keyhan Khamforoosh ◽

Sadoon Azizi

Keyword(s):

Low Power ◽

Road Traffic ◽

Traffic Monitoring ◽

Transportation Systems ◽

Area Network ◽

Emergency Vehicle ◽

Wide Area Network

AbstractIncreased number of the vehicles on the streets around the world has led to several problems including traffic congestion, emissions, and huge fuel consumption in many regions. With advances in wireless and traffic technologies, the Intelligent Transportation System (ITS) has been introduced as a viable solution for solving these problems by implementing more efficient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide long range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In this paper, we have proposed an architecture to employ the LPWAN as a backhaul infrastructure for ITS and to understand the feasibility of the proposed model, two applications with low and high delay requirements have been examined: road traffic monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end-to-end latency per user. Simulation of Urban MObility has been used for realistic traffic generation and a Python-based program has been developed for evaluation of the communication system. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.

3D Digital Twin of Intelligent Transportation System based on Road-Side Sensing

Journal of Physics Conference Series ◽

10.1088/1742-6596/2083/3/032022 ◽

2021 ◽

Vol 2083 (3) ◽

pp. 032022

Author(s):

Yunpeng Guo ◽

Kai Zou ◽

Shengdong Chen ◽

Feng Yuan ◽

Fang Yu

Keyword(s):

Virtual World ◽

Road Traffic ◽

Physical World ◽

Transportation System ◽

Traffic Information ◽

Digital Twin ◽

Twin System ◽

Infrastructure System

Abstract Cooperative vehicle-infrastructure is one of the most import developing direction of future intelligent transportation system, while digital twin system can record, reproduce, and even deduce the physical system, which could be helpful for the development of cooperative vehicle-infrastructure. In this study, we proposed a 3D digital twin platform of intelligent transportation system based on road-side sensing, a core component of cooperative vehicle-infrastructure system. This platform consists of real road-side sensing unit,3D virtual environment, and the ROS bridge between them, by receiving the sensing results of physical world in real-time, the virtual world can reproduce the compatible road traffic information, such as the type,3D position and orientation of traffic participants.

Study on Path Optimization Method of Traffic Guidance System under the Condition of the Car Networking

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.624.567 ◽

2014 ◽

Vol 624 ◽

pp. 567-570

Author(s):

Dan Ping Wang ◽

Kun Yuan Hu

Keyword(s):

Real Time ◽

System Integration ◽

Transportation System ◽

Transportation Systems ◽

Guidance System ◽

Wide Range ◽

Computer Communication Network

Intelligent Transportation System is the primary means of solving the city traffic problem. The information technology, the communication, the electronic control technology and the system integration technology and so on applies effectively in the transportation system by researching rationale model, thus establishes real-time, accurate, the highly effective traffic management system plays the role in the wide range. Traffic flow guidance system is one of cores of Intelligent Transportation Systems. It is based on modern technologies, such as computer, communication network, and so on. Supplying the most superior travel way and the real-time transportation information according to the beginning and ending point of the journey. The journey can promptly understand in the transportation status of road network according to the guidance system, then choosing the best route to reach destination.

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

Deep Intelligent Prediction Network: A Novel Deep Learning Based Prediction Model on Spatiotemporal Characteristics and Location Based Services for Big Data Driven Intelligent Transportation System

10.35940/ijitee.k1503.0981119 ◽

2019 ◽

Vol 8 (11) ◽

pp. 845-849

Keyword(s):

Big Data ◽

Deep Learning ◽

Recommendation System ◽

Transportation System ◽

Transportation Systems ◽

Location Based Services ◽

Traffic Data ◽

Spatiotemporal Characteristics

The concept of big Data for intelligent transportation system has been employed for traffic management on dealing with dynamic traffic environments. Big data analytics helps to cope with large amount of storage and computing resources required to use mass traffic data effectively. However these traditional solutions brings us unprecedented opportunities to manage transportation data but it is inefficient for building the next-generation intelligent transportation systems as Traffic data exploring in velocity and volume on various characteristics. In this article, a new deep intelligent prediction network has been introduced that is hierarchical and operates with spatiotemporal characteristics and location based service on utilizing the Sensor and GPS data of the vehicle in the real time. The proposed model employs deep learning architecture to predict potential road clusters for passengers. It is injected as recommendation system to passenger in terms of mobile apps and hardware equipment employment on the vehicle incorporating location based services models to seek available parking slots, traffic free roads and shortest path for reach destination and other services in the specified path etc. The underlying the traffic data is classified into clusters with extracting set of features on it. The deep behavioural network processes the traffic data in terms of spatiotemporal characteristics to generate the traffic forecasting information, vehicle detection, autonomous driving and driving behaviours. In addition, markov model is embedded to discover the hidden features .The experimental results demonstrates that proposed approaches achieves better results against state of art approaches on the performance measures named as precision, execution time, feasibility and efficiency.

Design and implementation of microstrip array antenna for intelligent transportation systems application

Frequenz ◽

10.1515/freq-2020-0162 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Arun Kumar Singh ◽

Arun Kumar ◽

Samarendra Nath Sur ◽

Rabindranath Bera ◽

Bansibadan Maji

Keyword(s):

Impedance Matching ◽

Transportation System ◽

Transportation Systems ◽

Array Antenna ◽

Design And Implementation ◽

Microstrip Patch ◽

Microstrip Array Antenna

Abstract This article proposes a design and implementation of array Microstrip Patch antenna of configuration 2 × 2 at an operating frequency of 3.5 GHz. The proposed design takes a dimension of 80 mm × 92 mm × 1.6 mm with four radiating elements arranged in rectangular form with an optimized separation between the patches. All the radiating elements were connected through a corporate series network with an inset feed to have better impedance matching. The model gives an efficiency of 90.99% with a bandwidth of 510 MHz and with fractal configuration, the bandwidth further enhances to 1.12 GHz. The maximum gain measured was found as 11.01 dBi at θ = 10° and ɸ = 360° and 10.45 dBi with fractal configuration. The designed antenna is proposed to be used in RADAR which will be used in the intelligent transportation system for the detection of nearby (short-range) vehicles in the blind zone. This kind of Radar also finds its application in collision avoidance and activating airbags/break boosting and thus helping mankind by saving lives. The article gives an idea of the use of an array antenna in intelligent transportation system for better gain and efficient results.

Vision Based Automatic Steering Control Using A Pid Controller

Jurnal Teknologi ◽

10.11113/jt.v44.356 ◽

2012 ◽

Cited By ~ 2

Author(s):

Ahmad Saifizul Abdullah ◽

Kim Hai Loo ◽

Noor Azuan Abu Osman ◽

Mohd Zamri Zainon

Keyword(s):

Control System ◽

Pid Controller ◽

Vision System ◽

Transportation System ◽

Transportation Systems ◽

Steering Control ◽

Automatic Steering

Kawalan stereng automatik adalah satu komponen penting dalam pengautomatan lebuhraya, yang kini diselidik di seluruh dunia di bawah beberapa program Intelligent Transportation System (ITS). ITS berpotensi meningkatkan kapasiti lebuhraya yang sedia ada dengan penggunaan yang lebih selamat dan lebih efisien terhadap ruang yang sedia ada. Sistem ini akan terdiri daripada konsep pemanduan “hands–off” secara menyeluruh yang mana kenderaan akan dikawal secara automatik apabila ia memasuki sistem itu. Untuk mencapai objektif di atas, pengawal PID dan konsep dasar penglihatan ke atas sistem kawalan stereng automatik digunakan untuk membolehkan kenderaan menjejak rujukan di dalam pelbagai keadaan. Keputusan simulasi menunjukkan bahawa sistem kawalan yang dicadangkan mencapai objektifnya meskipun ia kurang lasak untuk mengekalkan prestasinya di dalam pelbagai keadaan. Kata kunci: Kawalan stereng automatik, dinamik kenderaan, sistem penglihatan, kawalan PID Automatic steering control is a vital component of highway automation, currently investigated worldwide in several Intelligent Transportation Systems (ITS) programs. The promise of Intelligent Transportation System lies in the possibility of increasing the capacity of existing highways by safer and more efficient use of available space. This system will include completely “hands–off” driving in which vehicles are fully automatically controlled once they enter the system. In order to achieve the above objective, the Proportional–Integral–Derivative (PID) controller and vision based concept to an automatic steering control system is used to cause the vehicle to track the reference under various conditions. Simulation results show that the proposed control system achieved its objective even though it is less robust in maintaining its performance under various conditions. Key words: Automatic steering control, vehicle dynamics, vision system, PID controller

Proposed Canadian automated highway system architecture: object-oriented approach

Canadian Journal of Civil Engineering ◽

10.1139/l03-043 ◽

2003 ◽

Vol 30 (6) ◽

pp. 955-969 ◽

Cited By ~ 4

Author(s):

Qoutaiba Al-Qaysi ◽

Said M Easa ◽

Nouman Ali

Keyword(s):

Design Methodology ◽

Object Oriented ◽

The United States ◽

Transportation System ◽

Transportation Systems ◽

Object Oriented Approach ◽

Automated Highway ◽

Oriented Approach

Recent advances in the fields of data communication and automated controls make the implementation of automated highway systems (AHSs) more possible. Currently, substantial research effort is being made on the design of intelligent transportation system (ITS) architectures in Europe, Japan, the United States, and Canada. These architectures, however, have major limitations inherit in the design methodology used. Most ITS developers use a process-oriented approach for the design of the architecture that reduces its quality attributes (stability and flexibility) to future changes. This paper presents an approach to implement object-oriented design methodology in the Canadian intelligent transportation system (C-ITS) architecture for AHS. It was also shown that the C-ITS architecture needs a backup communication system to be integrated within the C-ITS architecture. Such a backup system would aid the reliability of future transportation systems to be developed based on this architecture. The proposed C-ITS architecture promotes flexibility, stability, and communication and, as such, should be of interest to ITS developers and researchers.Key words: intelligent transportation systems, architecture, automated highways, object-oriented approach, backup communication.

Emergency Situation Prediction Mechanism: A Novel Approach for Intelligent Transportation System Using Vehicular Ad Hoc Networks

The Scientific World JOURNAL ◽

10.1155/2015/218379 ◽

2015 ◽

Vol 2015 ◽

pp. 1-12 ◽

Cited By ~ 3

Author(s):

P. Ganeshkumar ◽

P. Gokulakrishnan

Keyword(s):

Ad Hoc ◽

Road Traffic ◽

Emergency Situation ◽

Transportation System ◽

Status Report ◽

The Road ◽

Death Toll ◽

Prediction Mechanism

In Indian four-lane express highway, millions of vehicles are travelling every day. Accidents are unfortunate and frequently occurring in these highways causing deaths, increase in death toll, and damage to infrastructure. A mechanism is required to avoid such road accidents at the maximum to reduce the death toll. An Emergency Situation Prediction Mechanism, a novel and proactive approach, is proposed in this paper for achieving the best of Intelligent Transportation System using Vehicular Ad Hoc Network. ESPM intends to predict the possibility of occurrence of an accident in an Indian four-lane express highway. In ESPM, the emergency situation prediction is done by the Road Side Unit based on (i) the Status Report sent by the vehicles in the range of RSU and (ii) the road traffic flow analysis done by the RSU. Once the emergency situation or accident is predicted in advance, an Emergency Warning Message is constructed and disseminated to all vehicles in the area of RSU to alert and prevent the vehicles from accidents. ESPM performs well in emergency situation prediction in advance to the occurrence of an accident. ESPM predicts the emergency situation within 0.20 seconds which is comparatively less than the statistical value. The prediction accuracy of ESPM against vehicle density is found better in different traffic scenarios.

A Dual-Mode Medium Access Control Mechanism for UAV-Enabled Intelligent Transportation System

Mobile Information Systems ◽

10.1155/2021/5578490 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Muhammad Asghar Khan ◽

Tanweer Ahmad Cheema ◽

Insaf Ullah ◽

Fazal Noor ◽

Sajjad Ur Rehman ◽

...

Keyword(s):

Mac Protocol ◽

Transportation System ◽

Transportation Systems ◽

Video Data ◽

Ieee 802.11P ◽

Spatial Reuse ◽

Network Coverage ◽

Dual Mode

With the exponential growth in technologies for the vehicular Internet of things applications and high demands for autonomous road vehicles, future transportation systems are projected to be revolutionized on a global scale. This new landscape requires a stable, flexible, and business-friendly base of connectivity, networking, and computing technology, in which Unmanned Aerial Vehicles (UAVs) can play an important role. A UAV-enabled Intelligent Transportation System (ITS) can provide a cost-effective communication solution to improve the safety and efficiency of the transportation system, particularly if the data traffic is nonhomogeneous and nonstationary. Typically, wireless is the communication medium between vehicles and UAVs in an ITS setting, which is based on the IEEE802.11p MAC protocol adopted by car manufactures. However, the IEEE 802.11p MAC protocol is modified solely for omnidirectional antennas, which restricts network coverage, delay, and throughput. In comparison, the directional antenna has greater network coverage, spatial reuse, and bandwidth. In addition, a multiaccess edge computing (MEC) facility at the backhaul link will provide ultralow latency and high bandwidth services to meet the increasingly growing demand for latency-sensitive vehicle applications such as vehicular video data analytics, autonomous driving, and intelligent navigation. Therefore, this article aims to propose a novel dual-mode MAC protocol that can work in two antenna modes, i.e., directional and omnidirectional. For modeling and simulation purposes, we use the Optimized Network Engineering Tool (OPNET) and aim to seek an evaluation with respect to throughput, media access delay, and retransmission attempts. The results obtained demonstrate the effectiveness of the proposed scheme.