Intelligent Transport System

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IJCSMC, Vol. 7, Issue. 4, April 2018, pg.12 – 21 A REVIEW ON DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM TO COMPARE WITH NAGPUR TRANSPORT SYSTEM

IJCSMC, Vol. 7, Issue. 4, April 2018, pg.12 – 21 A REVIEW ON DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM TO COMPARE WITH NAGPUR TRANSPORT SYSTEM

Abstract: supervision the development of traffic is a big problem all over the world. Intelligent Transportation System (ITS) provides solution to these problems with the help of new technologies. Intelligent Transportation Systems is the application of computer, electronics, and communication technologies and management strategies in an incorporated manner to provide traveler in sequence to increase the safety and efficiency of the road transportation systems, to work out and supervise the traffic troubles. In the present study we have studied major parts of the Intelligent Transportation System. The Objective of the paper is Study on the whole development of intelligent transport system in the human race and match up to with Nagpur intelligent transport system. Hence structural design and urbanized models over the years of major branches of ITS have been reviewed here to make a comparison analysis of Nagpur city Intelligent Transportation System. It will lead to the gaps in the awareness which can be further studied. The paper things to see the conclusions extracted from the studies of dissimilar systems and also give the future possibility in the field transportation to make it more users friendly and available.
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For Safety Applications: Intelligent Transport System (ITS)

For Safety Applications: Intelligent Transport System (ITS)

ABSTRACT: Connected vehicle innovation expect to fathom a portion of the greatest difficulties in the transportation in the territories of wellbeing, versatility and environment. The security application for Intelligent Transport System (ITS) is one of the principle destinations in this Paper we concentrate on V2V correspondence, once autos are associated which can impart information to different autos out and about and which lessen Highway mischances. At last, vehicles are interface by means of different corresponding advancements of vehicle to-vehicle (V2V) and vehicle- to-infrastructure (V2I) network in view of Wi-Fi, Dedicated Short Range Communication (DSRC)/WAVE remote media to intermittently show their position data alongside the driving goals as they approach crossing points. We give a reasonable examination of the VANET topology attributes after some time and space (Collision Detection) for a parkway and convergence situation to coordinate true street topology and continuous information separated from the interstate Performance Measurement System (PeMS) database into a tiny versatility model to create sensible movement streams along the roadway. Additionally gives Collision Detection Algorithm, SSM/TEM/TEMA model to enhance throughput at intersection focuses. In this paper we examine the utilization of vehicle-to-vehicle (V2V) correspondences by utilizing aforementioned calculations and models. To understand the concept of project I have implemented hardware by using AVR microcontroller.
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A Survey on Intelligent Transport System in Bangalore at a Selected Stretch

A Survey on Intelligent Transport System in Bangalore at a Selected Stretch

Bangalore is experiencing such traffic problems due to slow growth in transport infrastructure, poor urban traffic planning, lack of adequate public transport and parking infrastructure etc (Gurdit singh et al.,2014). Intelligent transport systems(ITS) provide solutions to all this problems with help of new technologies. Intelligent transport systems is being used in developed countries but it is not as much effectively used in developing countries like India. Intelligent transport systems include many subdomains like electronic toll collection(ETC),traffic management system etc. Intelligent Transport System (ITS) is inclusive of the usage of advanced technologies like information and communication (ICT), also known also telematics , collection and storage of data , navigation systems etc. The purpose of usage of these technologies in transport is to solve the problems of traffic congestion, air, noise pollution etc. These technologies help in better collection of data to address the issue related to transport(Bhupendra Singh, & Ankit Gupta,2015). Introduction of ETC technology at tolls helps in saving of operating costs of vehicles ,time saving due to reduced congestion, emission control, enhanced cash handling, incident reduction etc (Amol A. Chapate & D.D. Nawgaje,2015).However, in India, ETC is at the development stage. With the aim of achieving the benefits to road users, Ministry of road transport and Highways has decided to make all toll plazas on national highways as ETC enabled. This ETC programs are rolled out under the brand name “FASTag”. This program is part of the National Electronic Toll Collection(NETC) initiative under the guidelines of National Highway Authority of India(NHAI) and Indian Highways Management Company Limited(IHMCL).FASTag is presently operating at more than 350 toll plazas across national highways(Deepashree K. Mehendale & Reshma S. Masurekar,2015).
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The System for Driver Fatigue Monitoring Using Decision Tree via Wireless Sensor Network for Intelligent Transport System

The System for Driver Fatigue Monitoring Using Decision Tree via Wireless Sensor Network for Intelligent Transport System

Based on previous studies, technologies have been applied to manage fatigue and drowsiness in the field of Intelligent Transport system (ITS) [2] to examine a driver’s tiredness which causes drowsiness while driving, leading to accidents on highways. Scientific technologies are used to measure fatigue but it cannot give accurate and pre- cise results [6][7]. At present, there are plenty of research studies and development methods to measure fatigue, eye functions and eye blinking. According to related re- search, measuring and tracking fatigue in soldiers still has problem with accuracy in monitoring and timely tracking of fatigue which possibly causes accidents. Moreover, fatigue cannot be predictable in advance so it cannot reduce any losses. Therefore, the researcher is interested in developing driver fatigue monitoring algorithm using posi- tion detection and eye movement techniques to measure fatigue. The researcher also utilizes Haar – Like and Region of Interest (ROI) to detect position and movement of eyes to analyze fatigue through Decision Tree algorithm and to monitor fatigue.
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Implementation of Digital Radar Technology for Imaging and Remote Sensing in Intelligent Transport System

Implementation of Digital Radar Technology for Imaging and Remote Sensing in Intelligent Transport System

Abstract—With the growth of broadband wireless technology like code division multiple access (CDMA) and ultra-wideband (UWB), lots of development and efforts towards wireless communication system and imaging radar system are well justified. Efforts are also being imparted towards a convergence technology involving both communication and radar technology which will result in intelligent transport system (ITS) and other applications. The authors have tried to converge the communication technologies towards radar and to achieve the interference free and clutter free quality remote images of
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Intelligent Transport System in Chile

Intelligent Transport System in Chile

Abstract: Today, transit control systems go beyond simple controllers located at the intersections of our streets, involving large companies in the field, which with the implementation and use of sophisticated equipment encompass endless new and advanced technologies that manage to give control to the massive automotive park, thus ensuring fluidity and road safety. Many of these systems are used in the big world capitals, which is why the model used in Santiago, Chile is a system applied and brought directly by the SIEMENS Company of England (specifically the system used in the City of London). It is capable of transmitting the different control signals in a similar and digital way from the different interconnected devices in and out of the road infrastructure.
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IMPLEMENTATION OF INTELLIGENT TRANSPORT SYSTEM FOR SUSTAINABLE TRAFFIC DEVELOPMENT IN AMRAVATI CITY

IMPLEMENTATION OF INTELLIGENT TRANSPORT SYSTEM FOR SUSTAINABLE TRAFFIC DEVELOPMENT IN AMRAVATI CITY

2. G.D.Parulekar1,Prof.D.B.Desai2,Prof.A.K.Gupta An Overview of “Intelligent Transportation System”: Transportation Management through Modern Technology- A Survey IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) ISSN: 2278-1684, PP: 33-34 www.iosrjournals.org 3. M. Darbari *a, A. K. Srivastava a, S. Medhavib Emperical analysis of urban traffic system of lucknow using data modeling and capturing technique4] Bandmann, m. & finsterer, H.(1997). 4. Safety aspects of traffic management systems. Proceedings, 4th World Congress on Intelligent Transport Systems, 21-24 October, Berlin, Deliverable 6 of HOPES. Departmen t of Traffic p lanning and Engineering, University ofLund.
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The Smart Transportation using IoT and Intelligent Transport System in GPS Localization

The Smart Transportation using IoT and Intelligent Transport System in GPS Localization

In Smart Transportation project is used to overcome the problem of illegal transaction. Using this project easily finding the documents provided by the driver is correct or not. And also the exact weight of Vehicle will be measured by the weight sensor. During illegal transaction the vehicle numbers are changed. So the registration numbers of the vehicles in tamilnadu will be get from Regional Transport Office(RTO) registration department and the numbers are not in database easily stop the illegal transitions or vehicle theft. Also the alert message will send to related departments. In this project, consider the problem of check post and toll gate they just check the documents. The documents provided by the person who drives the vehicle was original or duplicate. In this case some people provide the wrong documents for illegal transactions. To avoid this problems using Smart Transportation using IOT. The vehicle entered in to the check post or toll gate the information’s of vehicle will be checked from the system. The details of the vehicle where send to the every check posts by the owners during the vehicle is started from the source location. Details are required by application on website is first the transport company need to sign up with the transport details such as registration id, VAT tax number, CST number , address of the transport, owner details.After signup each data’s where verified using the transport data’s and provides login id and password for each user. Suppose vehicle was travel from one location to another location owner need to login in to the transportation web site and enter the source of the vehicle started from, destination to deliver the product, which type of item where loaded on vehicle, who drives the vehicle, weight of the vehicle when it was loaded, traveling path of the vehicle from source to destination. After enter all the details the verification barcode will send to user.Weight sensor is employed here for calculate the weight of the vehicle. Bio metric readers used for scan the driver thumb and check the details of the person from Data base of Aadhaar’s card data. Also check the vehicle number for reference. These three details are stored on the system. If any details are wrong means the vehicle was not allowed to cross the check post. Every day the vehicle details of crossing the check post or toll gate will be stored in data storage.
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The role of market regulation in ensuring an Integrated Intelligent Transport System'

The role of market regulation in ensuring an Integrated Intelligent Transport System'

current RTPI systems are not integrated between either mode or operator. In Dublin there are plans to introduce integrated ticketing via contact- less smart cards and to roll out RTPI. Integrated ticketing has been much talked about in Dublin with the first recommendations to introduce in the Dublin Transportation Initiative in 1995 (9). However, nothing has yet materialised, and introduction of this system is now expected in 2004 (10). This is a nine-year lead-time. Bus RTPI had a lower lead-time of a year, however three years later the system is still only at 16 stops and is still in the pilot stages of introduction (11).
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Performance Analysis of RFID Authentication in Intelligent Transport System Applications of IoT using ECGDSA

Performance Analysis of RFID Authentication in Intelligent Transport System Applications of IoT using ECGDSA

(3) Anonymity: It is essential that a RFID authentication scheme should provide anonymity. The adversary will violate the owner’s privacy and trace his/her action if the tag’s identity becomes known. The tag’s identity must be encrypted as part of the mutual authentication process. (4) Availability. It is essential that the authentication process of a RFID authentication scheme be executed during the lifecycle of the RFID tag. To provide anonymity, the RFID tag and the server in most of RFID authentication schemes update the secret information shared between them when the authentication scheme is executed. If an adversary destroys the synchronization of the update, the authentication scheme will be invalid. (5) Forward security. It is essential that a RFID authentication scheme provides forward security. In many RFID authentication schemes, the adversary could trace back the past location of the tag if the secret information from the RFID tag is successfully retrieved by the adversary. This will seriously violate the owner’s privacy. (6) Scalability: It is essential that a RFID authentication scheme should be scalable. To authenticate the RFID tag, the server in the RFID system has to find the matching record from its database. If the computational workload of the searching algorithm increases significantly as the number of RFID tags increases, the system will not scale.
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A Coach Intelligent Transport System (CITS) to serve as an Automated Market Place for all Coach Operators in the Hyderabad City

A Coach Intelligent Transport System (CITS) to serve as an Automated Market Place for all Coach Operators in the Hyderabad City

Intelligent transportation systems (ITS) hold great promise for public works professionals seeking to optimize those public investment strategies that deal with traffic congestion and other growth pressures. Advanced traffic and fleet management systems as well as traveller information and vehicle-based systems can take advantage of information technology advances and private market products to substantially improve the productivity, connectivity, and safety of transportation. And as the new federal transportation act further spurs deployment of these systems, ITS research programs will continue to play a vital role in supporting such deployment and the overall evolution of ITS. Such research includes developing technology tools, providing testing and evaluation environments, and helping advance the state of the practice.
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Intelligent Transport System (ITS)

Intelligent Transport System (ITS)

The SLVD works in a fashion similar to the RLVD. However the objective is to detect vehicles which cross the stop line and stop while the traffic signal is red. These vehicles do not jump the red light and hence are a less safety hazard but do provide hindrance to pedestrians crossing the road. As special case, both RLVD and SLVD can be done by a single system. As shown below, cameras are used to define virtual zones which are monitored continuously for violation of pre-defined rules or change in status of the zone being monitored. This is called an “event”. The events are analyzed, filtered and audited for violations. 5.7. Dedicated Lane Enforcement:
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ADVANCED NAVIGATING OF INTELLIGENT TRANSPORT SYSTEM

ADVANCED NAVIGATING OF INTELLIGENT TRANSPORT SYSTEM

Intelligent transportation systems offer many types of information. They may offer real-time information about traffic conditions, such as variable message signs to warn of accidents or other delays. ITS controls the flow of traffic via traffic signals, or by opening and closing special gated lanes that allow commuters to access additional traffic lanes in one direction or the other, depending on the time of day, and the direction of the heaviest commuter traffic flow. Some applications provide fog sensors that activate road lights in areas where heavy fog can occur and cause extremely hazardous driving conditions. These fog sensors may also be used to send a message to a variable message sign located before the foggy section to warn motorists of the upcoming hazard.They provide traffic operators with the tools to allow quick and efficient response to accidents, hazardous spills, and other emergencies. There are major corridors where traffic flows are very heavy. Any small incident obstructs the flow, resulting in huge losses in terms of fuel and time. Consequently, conducting surveillance on corridors and identifying incidents causing problems can be useful in saving economic losses. Surveillance systems are based on electronically operated cameras or loop detectors embedded in pavements. Enables authorities to identify and to respond to vehicle crashes or breakdowns with the most appropriate and timely emergency services, thereby minimizing recovery times.
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Factors Of Road Accident: A Review Of Intelligent Transport System

Factors Of Road Accident: A Review Of Intelligent Transport System

In particular, the intelligent transport systems that are foreseen to have been implemented in the near future are described and their general impact on road safety is discussed. The present study adopts a more ‘humanistic’ and ‘safety-related’ approach by defining first the risk factors that contribute to road accidents and then proposing targeted IT- solutions. The procedure of application and evaluation of intelligent transport systems seems to be a rather slow one. The quantification of the impact of such systems on accident rates can only be established after they have been implemented for a long period so that specific elements including technological features, penetration rates and driver behaviour when using the systems have been stabilised. Still, specific elements of their impact can be somewhat estimated indirectly with the use of surrogate measures. Hence, although the implementation cost of intelligent transport systems is definable and is quite high, their benefits are still abstract. After all this research, the question remains: “Can intelligent transport systems be an efficient answer to road accidents?”
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Big Data Architecture for Intelligent Transport Systems

Big Data Architecture for Intelligent Transport Systems

Abstract: Day by day as the volume of data is being generated massively, storing of data and processing of data becomes a ever growing challenge in intelligent transport system (ITS). In intelligent transport system there are different areas to concentrate like smart parking systems, dynamic toll charging, smart traffic management etc. This paper is mainly focused on big data architecture for intelligent transport system for dynamic toll charging, traffic management and traffic analysis related data collection from various sources. The data collected from various sources can be in the form of structured data, semi structured data and unstructured data. Because of verity of data collected, this paper gives an idea about which data model is appropriate depending on data collected for transportation system.
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Intelligent Transportation System

Intelligent Transportation System

Traffic control has been an issue since humans put the first wheels on the first cart. The modern world demands mobility. Cars represent the main method of mobility, but today’s congested highways and city streets don’t move fast, and sometimes they don’t move at all. Intelligent traffic systems (ITS), sometimes called intelligent transportation systems, apply communications and information technology to provide solutions to this congestion as well as other traffic control issues. Intelligent Transportation Systems (ITS) represent a major transition in transportation on many dimensions. ITS is an international program intended to improve the effectiveness and efficiency of surface transportation systems through advanced technologies in information systems, communications, and sensors. ITS (Intelligent Transport Systems) is a system which is designed to promote advance
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INTELLIGENT ROUTING IN THE NETWORK OF INFORMATION AND TELECOMMUNICATION SYSTEM OF RAILWAY TRANSPORT

INTELLIGENT ROUTING IN THE NETWORK OF INFORMATION AND TELECOMMUNICATION SYSTEM OF RAILWAY TRANSPORT

Purpose. At the present stage, the strategy of informatization of railway transport of Ukraine envisages the tran- sition to a three-level management structure with the creation of a single information space, therefore one of the key tasks remains the organization of routing in the network of information and telecommunication system (ITS) of railway transport. In this regard, the purpose of the article is to develop a method for determining the routes in the network of information and telecommunication system of railway transport at the trunk level using neural network technology. Methodology. In order to determine the routes in the network of the information and telecommunica- tion system of railway transport, which at present is working based on the technologies of the Ethernet family, one should create a neural model 21-1-45-21, to the input of which an array of delays on routers is supplied; as a result vector – build tags of communication channels to the routes. Findings. The optimal variant is the neural network of configuration 21-1-45-21 with a sigmoid activation function in a hidden layer and a linear activation function in the resulting layer, which is trained according to the Levenberg-Marquardt algorithm. The most quickly the neural net- work is being trained in the samples of different lengths, it is less susceptible to retraining, reaches the value of the mean square error of 0.2, and in the control sample determines the optimal path with a probability of 0.9, while the length of the training sample of 100 examples is sufficient. Originality. There were constructed the dependencies of mean square error and training time (number of epochs) of the neural network on the number of hidden neurons ac- cording to different learning algorithms: Levenberg-Marquardt; Bayesian Regularization; Scaled Conjugate Gradi- ent on samples of different lengths. Practical value. The use of a multilayered neural model, to the entry of which the delay values of routers are supplied, will make it possible to determine the corresponding routes of transmission of control messages (minimum value graph) in the network of information and telecommunication system of railway transport at the trunk level in the real time.
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Intelligent Traction System

Intelligent Traction System

Railway transportation system is one among the commonly used economical transportation system in India. Almost nearly 24 million passengers use the railway system on a daily basis. Railway authorities had made an analysis of the recent accidents and customer complaints to provide a safe and secured system which can be widely used throughout the railway connecting system. The major reason which is being analysed for the cause of the railway accidents is the Signalling System which is being done manually either by a telephonic intercom call or by a walkie talky, were the signal information is being sent from a station to the next upcoming station, and with this receiving information signal for the trains are said to be operated throughout the network. In Jammu & Kashmir, due to extreme cold weather conditions, the Loco-Pilots find it difficult to have an accurate view of the Signal. Hence, a complete networking system can be implemented, were an automatic signalling can be done. The trains can be
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Intelligent Tutor Generator for Intelligent Tutoring System

Intelligent Tutor Generator for Intelligent Tutoring System

This paper describes tutor generators for building tutors based on the constraint- based and model-tracing intelligent tutoring paradigms. The generator for constraint-based tutors supports the creation of tutors from several domains without the need for any coding. The user interface, problem details and the constraints are all declaratively specified. The generator for model- tracing tutors also shares the same user interface capabilities, but its knowledge base is not generic and has to be coded in an expert system language as rules for each type of problem to be solved. On the other hand, the generated model-tracing tutors have the ability to guide the student as to the possible next step when the student is lost. This capability is absent in the constraint-based tutors generated.
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English Version. Intelligent transport systems - Public transport - Indirect Fulfilment for Rail

English Version. Intelligent transport systems - Public transport - Indirect Fulfilment for Rail

The purpose of the TAP-TSI is to introduce a statutory framework of requirements and obligations for railway operators, infrastructure managers and others that will ensure interoperability in rail transport ticketing and information provision. Within the 2011 version of the TAP-TSI text there are some open points related to indirect fulfilment and Security.

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