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Defining the wireless marketing is a challenge in today's world. Companies interested in capitalizing on the wireless market for automatic vehicle location (AVL) have a number of wireless options from which to choose. One of the most exciting wireless combinations is GPS (Global Positioning System) and cellular systems. The Global Positioning System (GPS)/cellular combination can be used to create Automatic Vehicle Location systems for a wide variety of applications, from fleet management to personal security. Unfortunately, no single wireless network fits all the possible AVL applications, and choosing the best network for an application is essential to system performance. This paper reviews the current wireless technologies available in the market-place, discusses why ATX chose the wireless technology it uses, and gazes into the crystal ball to forecast the future of wireless.

Pedestrians A method of locating a charging target device (vehicle) in a parking lot scenario by the evaluation of Received Signal Strength Indication (RSSI) of the Dedicated Short Range Communications (DSRC) signal and Global Positioning System (GPS) data is proposed in this paper. A metric call Location Image (LI) is defined based on the RSSI received from each charger and the physical location of the parking associated to that charger. The central parking lot processor logs the GPS coordinates and LI received from the vehicle. Each pairing attempt by a vehicle loads a new LI into the central processor's database. Utilizing the LI and the proposed methods the vehicle will achieve expedited charger to system pairing while in the company of multiple chargers.

Rankine powerplant advantages are found to fit best applications that call for long maintenance free life, or where the heat energy is essentially free as in bottoming and topping cycles, or in special environments as undersea or space. Worthy applications suggested on the basis of potential market size and ability to satisfy customer imposed cost and performance are: automotive and tank accessory power systems (APS), transportable refrigeration, portable power supply (GPS), standby power, remote site power, and home air conditioner drive. The automotive APS and a 1 1/2 kWe GPS are further analyzed. The APS can offer attractive features to the automobile user, including the possibility of reducing pollution from spark ignition engine. The GPS is an example showing high cost effectiveness for long operating times. It is recommended that marketing and cost studies continue, and that working fluid and heat exchanger technologies be accentuated.

Visual Place Recognition (VPR) excels at providing a good location prior for autonomous vehicles to initialize the map-based visual SLAM system, especially when the environment changes after a long term. Condition change and viewpoint change, which influences features extracted from images, are two of the major challenges in recognizing a visited place. Existing VPR methods focus on developing the robustness of global feature to address them but ignore the benefits that local feature can auxiliarily offer. Therefore, we introduce a novel hierarchical place recognition method with both global and local features deriving from homologous VLAD to improve the VPR performance. Our model is weak supervised by GPS label and we design a fine-tuning strategy with a coupled triplet loss to make the model more suitable for extracting local features.

A substantial fraction of automotive collisions occur at intersections. Statistics collected by the Federal Highway Administration (FHWA) show that more than 2.8 million intersection-related crashes occur in the United States each year, with such crashes constituting more than 44 percent of all reported crashes [12]. In addition, there is a desire to increase throughput at intersections by reducing the delay introduced by stop signs and traffic signals. In the future, when dealing with autonomous vehicles, some form of co-operative driving is also necessary at intersections to address safety and throughput concerns. In this paper, we investigate the use of vehicle-to-vehicle (V2V) communications to enable the navigation of traffic intersections, to mitigate collision risks, and to increase intersection throughput significantly.

With the increasing number of cars on the street, the exchange of information between those cars becomes essential to improve the driving skills of each driver, resulting in a safer, intelligent and more dynamic traffic. The task now is to make it accessible for everyone. One possible and cheap way to solve this issue is to seek possibilities on free technologies within market trends. Using the smartphone platforms, which holds a high level of embedded technologies, becoming a global communication device even to interpersonal and to social networks, and AppLink Development Kit for smartphones and vehicles integration, this paper will cover aspects about the integration of the kit to an database application based on the cloud, enabling real-time interaction between two cars. Making possible to a driver have access to information and current status of other cars to aid ones life on heavy traffic.

The road accident is major problem around the world and also in Thailand, The main cause is concerning the driving behavior e.g. uncarefulness, aggression, drowsiness and etc. Dangerous driving is categorized by means of lateral vehicle dynamics when the turning or lane changing is performed, and longitudinal one if the braking or rapid acceleration is occurred. For this reason, we developed the vehicle monitoring system based on novel consumer grade multi-satellite navigation receivers and proposed the lateral acceleration estimation from these data. The system were tested within controlled condition tested track. The multiple satellite system, GPS and multi-GNSS: GPS+Glonass and GPS+Beidou were tested and compared to the reference inertial measurement unit (IMU) As results, the maximum lateral acceleration in tested track were chosen and compared with reference IMU.

This document provides vehicle-level data collection, data analysis, and data verification procedures that may be used to verify that an instrument under test (IUT) satisfies the vehicle-level requirements specified in SAE J3161/1. For the purposes of this report, “vehicle-level requirements” primarily consist of those requirements which can be verified external to the vehicle. The IUT for these procedures is a configured LTE-V2X vehicle-to-vehicle (V2V) device as defined in SAE J3161/1 and is installed on a light vehicle1 or public safety vehicle2. While the IUT is conceptually separated from the vehicle it is installed on, the tests outlined in this document are primarily vehicle-level so the terms “vehicle” and “IUT” can generally be considered interchangeable. Additionally, non-vehicle-level complimentary tests, not included in this document, are required to verify that the entire set of requirements specified in SAE J3161/1 is satisfied.

This document provides vehicle-level data collection, data analysis, and data verification procedures that may be used to verify that an instrument under test (IUT) satisfies the vehicle-level requirements specified in the SAE International (SAE) J2945/1 standard. For the purposes of this recommended practice, “vehicle-level requirements” primarily consist of those requirements which can be verified external to the vehicle. The IUT for these procedures is a configured dedicated short range communications (DSRC) vehicle-to-vehicle (V2V) device as defined in SAE J2945/1 and is installed on a light vehicle. While the IUT is conceptually separated from the vehicle it is installed on, the tests outlined in this document are primarily vehicle-level so the terms “vehicle” and “IUT” can generally be considered interchangeable.

The increasing variety of test configurations and requirements has leaded to carry out activities of greater complexity. These advanced crash tests usually involve vehicle trajectories which are not straight and cannot be performed with the usual testing system. In order to increase the testing capabilities, a new guiding system was developed. An in-loop processing of the images filmed by a camera enables the vehicle to follow a path marked on the floor. An algorithm for image processing through colour filters was developed to identify the position of the line marked on the floor. Based on this input the steering wheel is rotated by an electric motor which receives the input of the electronic software. After a first phase of development, the system was able to identify the marked line on the floor and control the angle of the steering wheel to maintain the desired trajectory. However, the robustness should be increased.

The scope of this document is the concept of operations including reference system architecture, the user needs, the system functional and performance requirements, the messages, the corresponding data frames and elements, and other related functionality to enable V2X-based fee collection and other financial transactions.

Millions of automobile accidents occur worldwide each year. Some of the most serious are rear-end crashes, side crashes within intersections, and crashes that occur when cars change lanes or drift into a lane. The holy grail of traffic safety is to avoid automobile accidents altogether. To that end, major automakers, governments, and universities are working on systems that allow vehicles to communicate with one another as well as the surrounding infrastructure (V2V/V2I for short). These systems show promise for such functions as intersection assist, left-turn assist, do-not-pass warning, advance warning of a vehicle braking ahead, forward-collision warning, and blind-spot/lane-change warning. This compendium explores the challenges in developing these systems and provides the latest developments in V2V/V2I technology. It begins with a series of overview news stories and articles from SAE’s magazines on the progress in this technology.

Realistic vehicle fuel economy studies require real-world vehicle driving behavior data along with various factors affecting the fuel consumption. Such studies require data with various vehicles usages for prolonged periods of time. A project dedicated to collecting such data is an enormous and costly undertaking. Alternatively, we propose to utilize two publicly available vehicle travel survey data sets. One is Puget Sound Travel Survey collected using GPS devices in 484 vehicles between 2004 and 2006. Over 750,000 trips were recorded with a 10-second time resolution. The data were obtained to study travel behavior changes in response to time-and-location-variable road tolling. The other is Atlanta Regional Commission Travel Survey conducted for a comprehensive study of the demographic and travel behavior characteristics of residents within the study area.

The explosion of big data has created challenges for both cloud-based systems and Autonomous Vehicles (AVs) in data collection and management. The same challenges are now being realized in developing databases for integrated sensors, streaming, real-time and on-demand services in AVs. With just one AV expecting to generate over 30 Terabytes of data a day, modern NoSQL databases provide opportunities to horizontally scale AV data seamlessly. NoSQL provides solutions designed to accommodate a wide variety of data models such as, key-value, document, column and graph databases. Key-value stores are by nature scalable, fast processing, and distribute horizontally. These databases are tasked with handling several data types including IoT, radar, lidar, ultra-sonic sensors, GPS, odometry, and sensor data while providing streaming and real-time services. NoSQL can store and utilize structured, semi-structured, and unstructured data necessary for multimedia storage needs.

The use of Heavy Vehicle Event Data Recorders (HVEDRs) in collision analysis has been well recognized in past research. Numerous publications have been presented illustrating data accuracy both in normal operating conditions as well as under emergency braking conditions. These data recording devices are generally incorporated into Electronic Control Modules (ECMs) for engines or Electronic Control Units (ECUs) for other vehicular components such as the Anti-Lock Brake System. Other research has looked at after-market recorders, including publically-available Global Positioning System (GPS) devices and fleet management tools such as Qualcomm. In 2009, the National Fire Protection Association (NFPA) incorporated a Vehicle Data Recorder (VDR) component into their Standard for Automotive Fire Apparatus. The purpose of this was to “…capture data that can be used to promote safe driving and riding practices.” The Standard requires minimum data elements, recording times, and sample rates.

Multimedia systems, GPS navigation, entertainment, and communication (infotainment) have become increasingly popular in today's cars. On one hand, these systems offer a desirable amount of comfort and convenience. On the other, the representation of information on displays and navigation through these virtual worlds leads to increased driver distraction within a constantly changing environment that could be dangerous to road safety. For this reason, Human-Machine-Interaction (HMI) Design needs to be addressed. This paper will present a problem-driven, user-centered cognitive approach. It also shows how HMI Design transfers research findings into efficient product development. There is a very complex relationship between the user, the interface and the traffic environment. Psychological factors, the driving situation, and interface properties affect drivers' behavior. Design parameters for interaction concepts will be shown.

With the development of economic globalization, the speed of development of container terminals is also very rapid. Under the pressure brought by the surge in throughput, the unmanned and intelligent terminals will become the future development direction of terminals. As the cornerstone of the unmanned terminal, the positioning technology provides the most basic position information for system scheduling, path planning, real-time correction, and loading and unloading. Therefore, this paper is aimed to design a low-cost, high-precision, and easy-to-maintain unmanned dock positioning system in order to better solve the problem of unmanned dock positioning. The main research content of this paper is to design a positioning algorithm for unmanned terminal Automated Guided Vehicle (AGV) based on single-line lidar, including point cloud data acquisition, background filtering, point cloud clustering, vehicle position extraction, and result optimization.

This thoroughly updated second edition of an Artech House bestseller brings together a team of leading experts who provide you with a current and comprehensive treatment of the Global Positioning System (GPS). The book covers all the latest advances in technology, applications, and systems. The second edition includes new chapters that explore the integration of GPS with vehicles and cellular telephones, new classes of satellite broadcast signals, the emerging GALILEO system, and new developments in the GPS marketplace. This single-source reference provides both a quick overview of GPS essentials and an in-depth treatment of advanced topics. The book guides you in developing new applications and shows you how to evaluate their performance. It explains all the differential GPS services available to let you decide which is best for particular applications. You learn how to build GPS receivers and integrate them into navigational and communications equipment.

The automotive electronics market has seen and will continue to see unimpeded growth due to the substitution of mechanical and electromechanical devices with electrical devices wherever feasible for increased reliability. In addition, automakers are increasingly looking to incorporate advanced electronics technology into their vehicles to satisfy customer demands for more and innovative features. Examples of this are the use of global positioning system (GPS) for directions and roadside assistance and increased integration of the engine and powertrain to provide smoother, more fuel-efficient operation. Despite this growth, however, the automotive electronics market continues to shrink as a percentage of the total market due to the phenomenal growth of the computer and telecommunications markets.

Whether large or small, a truck fleet operator has to know the locations of its vehicles in order to best manage its business. On a day to day basis loads need to be delivered or picked up from customers, and other activities such as vehicle maintenance or repairs have to be routinely accommodated. Some fleets use aftermarket electronic systems for keeping track of vehicle locations, driver hours of service and for wirelessly text messaging drivers via cellular or satellite networks. Such aftermarket systems include GPS (Global Positioning System) technology, which in part uses a network of satellites in orbit. This makes it possible for the fleet manager to remotely view the location of a vehicle and view a map of its past route. These systems can obtain data directly from vehicle sensors or from the vehicle network, and therefore report other information such as fuel economy.