Technological Developments in the Intelligent Transportation System (ITS)

. The background of this research is to want to know the technological developments that exist in the intelligent transportation system, by knowing the developments it will be able to add to the repertoire of research and deepen similar research. The method used in this research is to conduct a literature review, by reading many journals that can be the basis for this research, reading will be able to develop the problems that have been researched. The problem raised in this research is wanting to know technological developments in the smart transportation system and making one example of a system that will be developed in smart transportation. This research will produce technological technologies that can be developed in smart transportation systems, and provide examples of research that can be developed on smart transportation systems.

http://ijstm.inarah.co.id proposed technique can produce a credible indicator of visibility to motorists. The analytical results corroborated by the wide field measurements confirm the superiority of the proposed system when compared to other visibility estimation methods such as conventional DCP and WIE, where the results of the proposed system show about 25% increase in accuracy over other techniques considered. In addition, the proposed DCP is approximately 26% faster than conventional DCP. The promising results obtained potentiate the integration of the proposed techniques in real-life scenarios [12].
A fast-moving research area, driven in part by rapid changes based on cyber-physical systems. It should be acknowledged that existing vehicle communication systems are vulnerable to privacy vulnerabilities that require addressing. The tactical challenge is that many vehicle communication applications and services take advantage of basic safety messages that contain vehicle identity, location and other personal data. A popular way of dealing with this privacy issue is to take advantage of a pseudonym change scheme to protect the identity and location of the vehicle. However, many such schemes suffer as costs grow and the difficulty of certificate management increases with the number of pseudonyms generated and stored, raising doubts about the economic viability of the approach. A decentralized blockchain-based solution for pseudonym management that overcomes this limitation. This scheme consists of a distribution of pseudonyms and random operation, which allows the reuse of existing pseudonyms for different vehicles. The results, reported here, indicate that the proposed scheme can reuse existing pseudonyms and achieve a better level of anonymity at a lower cost than existing schemes [13].
Intelligent Transport System (ITS) to improve safety and create traffic flow, simultaneously. This may increase the number of trips with the Colombo City Council (CMC) area. Colombo City Council (CMC) is the economy will improve through access. This is the influence of the business and residential areas that have negative social and environmental impact. These are the factors to consider at the Colombo Municipal Council (CMC) for an information trip [14].
ITS is basically a combination of developments in computing, information technology and telecommunications combined with expertise in the automotive and transportation sectors. ITS main developing technology is taken from mainstream developments in these sectors. Therefore ITS can be defined as the application of computing, information and communication technology for vehicle management and real-time networks that involve the movement of people and goods [15].
Systems and techniques to improve traffic prediction accuracy include a system of one or more computers that can be operated to receive requests related to traffic predictions, comparing the first prediction error for the first traffic prediction model (moving average) with the second prediction error for the second (average historical average) traffic prediction model, calculated using a historical data set selected from the previously recorded traffic data according to the day and time associated with the demand, select the use of the first model or the second prediction error comparison model, and provide the output for use in traffic prediction, where the output comes from applying the first traffic prediction model when the first prediction error is less than the second prediction error, and the output comes from applying the second traffic prediction model when the first prediction error is not less than the second prediction error [16].
ITS is a real-time, efficient and comprehensive transportation management system. Speed, vehicles and traffic are the main dynamic parameters of intelligent traffic detection information acquisition system, accurate knowledge of these parameters can make the traffic scheduling signal control effectively, thereby ensuring efficient circulation of the entire traffic system. At the same time, on time, accurately understand the speed, traffic volume, and vehicle traffic information for road traffic prediction to improve long-term planning from basic data, and have great guiding meaning. As part of ITS, the current traffic detection technology that is commonly used at home and abroad is for different test objects designed and used independently, if the system design can be integrated to detect each object, the unified use of communication engineering, engineering theoretical information in the RRs traffic detection technology and the two most combined data processing technologies, which not only reduces the complexity of traffic data detection, but also saves due to different object detection systems for construction and increases construction costs, is more conducive to increasing the application effect of smart transportation system. Guide this idea and propose a comprehensive traffic data detection system based on laser scanning data, can also run speed detection, http://ijstm.inarah.co.id traffic detection and vehicle recognition modules, and process detected data, and build a database, realizing data acquisition and diversification of processing functions [17].
Two-wheeled vehicles, commonly called Segways, are a growing research topic, and the Line Tracer is a robot that can walk alone by reading predefined lines and lanes and balancing automatically based on changes and shifts in the balance point. This research aims to expand the research that has been done before, which combines a two-wheeled balancing robot and makes a two-wheeled robot that can run on its own using a Line Tracer. Segway is expected to produce a design that can run on its own (automatically) carrying goods without human assistance. In the previous research, the two-wheeled robot lego was successfully created using the Predictive Control Model using an inverted pendulum. Another Q-Learning study to make robots can learn how to solve a problem finding a route with the robot itself after some time learning through the same path. This research will be conducted by making a Segway design that uses a robot as the object of research. Lego NXT is a robot that is used as a Segway model, and will be given a color sensor that uses a PID controller for the testing process. The Lego NXT robot will be a model and an algorithm control test tool that will be examined. The PID control algorithm is programmed in high-level C language and has good performance for tracking stability. A color sensor is a device that can distinguish colors, in this case a color sensor is used to make the robot recognize the color of the path that has a color. The suitability of the control algorithm performance, color sensors and robot performance will be investigated in the framework of the Segway robot which uses the concept that runs on a track that has been provided and can run automatically without a driver. How to adjust the performance of two motors, each of which is owned by the two wheels, so that the motor can take turns balancing and making the place shift [18].
Information acquisition system detection, accurate knowledge of these parameters can make the traffic scheduling signal control effectively, thereby ensuring efficient circulation of the entire traffic system. At the same time, on time, accurately understand the speed, traffic volume, and vehicle traffic information for road traffic prediction to improve long-term planning from basic data, and have great guiding meaning. As part of ITS, the current traffic detection technology that is commonly used at home and abroad is for different test objects designed and used independently, if the system design can be integrated to detect each object, the unified use of communication engineering, engineering theoretical information in the RRs traffic detection technology and the two most combined data processing technologies, which not only reduces the complexity of traffic data detection, but also saves due to different object detection systems for construction and increases construction costs, is more conducive to increasing the application effect of smart transportation system. Guide this idea and propose a comprehensive traffic data detection system based on laser scanning data, can also run speed detection, traffic detection and vehicle recognition modules, and process detected data, and build a database, realizing data acquisition and diversification of processing functions. For this predictive information, drivers implicitly project future conditions based on historical (if they experienced it before) and current traffic information. Therefore, short-term prediction of traffic conditions is required for traffic management and tourist information systems [19]. Based on the picture above, the explanation will be given below:

Literature Review
In the first stage of this research using the literature review method by reading many journals and many books related to this research, with a lot of reading will strengthen the research raised.

Research
In the second stage of this research using research, by doing research it will be able to answer the research problems raised in this study, by conducting research you can also carry out the stages of research according to the direction of the research, so that this research is not biased.

Result
In the third stage, this research will produce data and system proposals that will answer the research problems raised, with this stage the research stage is finished.

III. RESULT AND DISCUTION
For system development, innovations made to ITS or Intelligent Transportation System Improve defense in an Intelligent Transportation System such as carrying out maintenance on the System (Maintenance) every time the vehicle is turned on. So that there is no data encroachment on the system, which one can find out the whereabouts of the rider. If that happens, it will be very dangerous for the rider which can cause unwanted things, therefore it is recommended that periodic system maintenance be held. How the system works can be seen from the following flowchart.

Fig 2. Flowchat
The flowchart above is one of the smart transportation systems which can be without a crew (driver), this system will work using Autosteer, Auto Lane Change, Automatic Emergency Steering and Side Collision Warning, as well as the Autopark feature. In the flowchart above, when the driver / driver enters the transportation vehicle, he will check the driver's data. If the data is registered, the vehicle engine will start, whereas if the driver's data is not registered, the vehicle will not start. Furthermore, if the vehicle's engine is running, it will display traffic conditions such as congestion points anywhere, looking for alternative routes and even the vehicle directly directs you without having to find any paths that are traversed.
Intelligent transportation systems and rapid development in recent years have become one of the effective ways of understanding traffic problems. Advanced information technology, computer technology has injected new vitality, data communication transmission technology and electronic recognition and application of automatic control technology for the further development of intelligent transportation systems, traffic information collection and detection technology in intelligent transportation systems to achieve http://ijstm.inarah.co.id automatic detection, recognition and detection technology. tracking of moving vehicles is the most important part. To avoid things that are undesirable when driving smart transportation, the system that has been created must often carry out periodic maintenance.

IV. CONCLUTION
With the rapid socio-economic development, a comprehensive modern network of traffic has become an important index to evaluate the level of social development. At this time, an explosion began to form in China's traffic, which is a great convenience for people's daily life and travel, but also with the growth of traffic, also brings a lot of trouble and inconvenience. Vehicles moving in the intelligent transportation system from automatic detection and recognition technology to make some exploration and research, other advantages and disadvantages of vehicle detection technology and testing equipment with analysis and comparison, combined with the actual situation of current technology developments that provide a new way of detecting traffic, detection by laser scanning data analysis and processing for traffic information data. In view of the current domestic and foreign general traffic detection technology, and detection equipment is the basis for different test objects independently.
Designing and using the status quo, the integrated use of communication engineering, information theory and engineering, traffic detection technology in intelligent transportation systems is designed to achieve an integrated detection object acquisition system, namely a traffic information acquisition platform based on laser scanning data that can run concurrently, set the timing of the vehicle speed detection function module, traffic flow statistics and vehicle type automatic recognition, processing and detected data, database creation at the same time, realizing multifunctional data acquisition and processing. This not only reduces the complexity of traffic data detection, but also saves construction because each corresponds to a different object in this paper, considering the current common laser detection equipment, laser detection technology than traditional detection systems and increasing construction costs, is more conducive to increase smart application effect transportation system.