Intelligent Transportation Systems (ITS) have received much attention in recent years in academia, industry and standardization entities due to their wide impact on people's life as their scope to provide vital applications and services to improve transportation safety and mobility and to optimize the usage of available transportation resources and time. ITS applications and services rely on advanced technologies to be deployed and distributed among the intelligent infrastructure systems and vehicles system. Mainly, these technologies include but not limited to physical world perceive technologies that able to perform real world measurements and convert them into the digital world, processing and storage capabilities that operate on the digital measurements by storing, analyzing them and communication technologies include wired and wireless technologies to exchange the collected data among the vehicles them self and also to their infrastructure and vice versa.
GPS tracking devices stand at the core of the enabling perceive technologies for ITS applications and services. Indeed, the number of vehicles' GPS-enabled On-board Unit has sharply increased due to their vital and beneficial rules for both the vehicles and the drivers. GPS-based services include in-vehicle satellite navigation, vehicle security system, accident notification and tracking along with monitoring to name few. Although most of GPS-based application depend on real time information collection, the historic GPS collected data intrinsically has great potential for further offline based application such as compute the journey speed, congestion monitoring, accidents deep analysis such as reason and driver's behavior.
This project aims to build an open framework that...
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...long the trip on a digitized map such as open street maps (OSM) each street segment has different attributes such as the street category (pedestrian, highway or motorway) each category has a maximum allowed speed attribute. Here, we record the number of times a vehicle violates these speed limits and the corresponding violation time durations. The resulted information is compared to predefined threshold and limits which allows the system to decide whether the vehicle violated the traffic regulations or not at a given trip. After running our model for long enough periods, we expect that tracking and ticketing system can be fed by authorized department which can be utilized to get clear view about infrastructure which can be used for developing and planning to improve the infrastructure on some field or apply some regulations which will aim to reduce traffic accidents.
The behavioral models of the traffic as a system has been developed and studied for several decades and the core behavioral models, Gipps’ car-following/acceleration model and lane-changing model are more or less enough to predict behavioral outcomes of vehicles in homogeneous traffic conditions with lane discipline. In mixed traffic conditions with weak/no lane discipline however, the behavior of a vehicle cannot be defined separately using the car-following and lane-changing models. The behavior of a vehicle under such conditions is very dynamic – depending on the behavior of other vehicles in its vicinity. Also, there exists a continuous interaction among the vehicles and therefore, every vehicle is influenced by its surrounding vehicles.
Eran Ben-Joseph, a Professor and Head of the Department of Urban Studies and Planning at the Massachusetts Institute of Technology, did a research on the urban driving style. Joseph has come to a conclusion stating that American tends to speed more time behind the wheel, while searching for a parking spot. Joseph also stated that parking lots tend to “cover more than a third of the land area, becoming the single most salient landscape features of our built environment.” Finding parking spots is one of the major problems, and it is one of the primary sources of waste of fuel for many in the urban areas. The need for parking spots has been significantly increasing in the recent years. According to Joseph, Americans spend more than 250 hours a yearly behind the wheel,, and 40 percent of the total gasoline are wasted while searching for parking. Self-driving car’s vehicle-to-vehicle communication is one of the major effective features for transportation. These features will enable self-driving vehicles to communicate with one another and provide real-time status information about their surrounding. This feature is believed to decrease the number of hours and energy wasted while searching for parking significantly. If one car is looking for parking, it will send a status to its surrounding cars with the same features. If these cars find a parking spot, they will send back the position of availability of parking. With these kinds of algorithms, it will most likely help the environment to become safer. In addition, the vehicle-to-vehicle communication feature will be an important factor when it comes to collision avoidance. As each car can sends out data about their position, speed, break status, and additional such data to the other vehicles within a specific distance, there will be much more efficient and people will have a safe
Today, OnStar has helped nearly 10 million people get the help they needed, even when they were unable to ask for the help themselves. After 20 years since being launched, OnStar has led the forefront of the connected car revolution making driving easier, safer and better for subscribers. OnStar includes a myriad of services such as in vehicle safety, automatic crash response, stolen vehicle assistance, turn by turn navigation, remote start, and remote locking and unlocking. A vehicle equipped with OnStar can analyze the vehicles On Board Diagnostics (OBD) as it is being driven, proactively detect likely vehicle problems, and notify the driver when maintenance is needed. OnStar services can monitor crash sensors and automatically alert the authorities, provide audio-links between passengers and emergency personnel, and provide GPS based locations.
How would they be able to stay on the road you would have to download a highly detailed map of the world if they don't then the car could go crazy and take
Technology is evolving faster than ever these days, however there is one technology that could revolutionize the transportation industry. This technology is called autonomous cars, also known as self-driving cars. Autonomous cars can be defined as a vehicle that is capable of sensing its environment, and navigating without human input. Using different techniques such as GPS and radar, autonomous cars can detect surroundings, thus removing the human element in driving. This would have a positive effect in more ways than we could ever imagine. Research suggests that self-driving cars will become more abundant in the future because they will be more cost-effective, enhance safety, and decrease traffic congestion.
Companies like Google, Tesla and Nissan, among others, have announced over the past few years that their companies are trying to develop self-driving or autonomous cars [Ref. 1 and 2]. Self-driving cars can provide many benefits to the average consumer. Studies have shown that because computers can react and process information many times faster than a human being, crashes on streets and roads can be decreased with quick and consistent evasion maneuvers by the autonomous car. They can also help maximize fuel economy by calculating the most direct and fastest routes. When the driving of an autonomous car demonstrates that the computer can safely and reliably transport the passengers to their destination, this frees up the passengers to do other things that they would not normally be able to do if they were driving the car manually. For this reason, self-driving cars can help maximize productivity of their passengers.
Autonomous cars, they are an extraordinary move in the vehicle industry! For those who do not know what autonomous cars are, they are cars that drive themself, cars that have an autopilot feature. Autonomous cars are cars of the future, there are very few as of today. One of the first are made by the Tesla company.
The system integrates equipment mounted on trains with ground-based equipment using wireless communication to collect position information from the train and sent back control signal. This significantly reduces the amount of equipment and facilitate roadside benefits such as high traffic density and the use of a single drive or train without a driver.
Autonomous cars, or self-driving cars, are the new wave of the future. In this paper, autonomous cars will be discussed through how they work, what complications and problems they have, and how they are being used today. Self-driving cars will create safer roadways free of human error, and they allow those who have lost their independent driving ability to be able to drive using a self-driving car. Most work by using radar, or Lidar, but the biggest problem is the creation of an advanced software capable of recognizing and differentiating obstacles. Many of the leading technological companies are investing their time and money into autonomous cars and some experts say these cars will be open to the general public by 2030. xx
point out your destination by searching through a lot of menus until you find it,
The field of invention is BRTS. BRTS stands for Bus Rapid Transit System. It is a mass transit system. BRT system generally has specialized design and infrastructure to improve system quality and remove the typical causes of bus delay. This project is handled by Ahmedabad municipal corporation (AMC) and operated by Ahmedabad Janmarg limited. It has been successfully working since 2009 and being extended day by day in order to cover major area of city. Detailed system design and support is being provided by CEPT University. Though it is working successfully, it lags some technologies related to route management and these are the tasks which we are going to design.
Modern internet technology is introduced into new vehicles as a safety feature. One recent idea is having connectivity between vehicles. Ankeeta Patel of Parul Institute of Engineering and Technology presents the
We all use vehicles for transportation. People usually go to their desired destination either by driving their own cars or traveling in public transportation. Actually, it might be tough to choose that which one is the best selection for people to travel. Many people choose one of them according to their comfort while traveling and both of them have advantages and disadvantages in different conditions. Public transportation and driving own car both shares differences and similarities in many aspects, such as facility, cost, and comfort as well as traffic jam and accident occurrence.
Several approaches have been used to capture the flow of traffic by using various kinds of devices placed along the road side. Due to several limitations in this approach placing infrastructure within vehicle was found to be a better solution. “Internet of Vehicles” a domain specific application of the emerging “Internet of Things” will soon be the technology enabler that will provide the required data for such real-time traffic analyses. Currently GPS systems placed inside the MTC buses on selected routes provide the...
Loss of GPS signal may lead to hazards like accidents, misguidance etc. Dead reckoning plays a vital role in these situations to aid navigation systems. For vehicles moving on a two-dimensional plane, vehicle position can be calculated at any point of time provided that the initial location and relevant displacement parameters are available. This method of position estimation is often known as Dead-reckoning principle [6]. Dead reckoning requires the last known position of vehicle, direction of vehicle, distance travelled and vehicle altitude for successful approximation of new