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This paper presents a new control law for the coordinated path following control problem. The paper deals with a group of car-like vehicles, where each vehicle is represented by the bicycle kinematic model. A two layer method is proposed, in which an inner layer is responsible for vehicle convergence to a desired path, and an outer layer is in charge of solving the coordination problem. A chained...
Vehicle classification system is an important part of intelligent transportation system (ITS), which can provide us the necessary information for autonomous navigation, toll systems, surveillance and security systems, and transport planning. In this paper, we introduce a vehicle classification system based on dynamic Bayesian network (DBN). Three main types of features are employed in our system:...
Vehicular traffic estimation is one of the major issues in intelligent transportation systems. Traffic information can be used by navigation systems to improve travel efficiency. Current traffic estimation systems rely on infrastructure deployment to monitor traffic state. Therefore, they are costly to implement. In this paper, we propose a new context-aware approach to traffic congestion estimation...
Use of public transportation is on a rise, enabling greener cities and improvement of the quality of life of the city residents. The challenge for the public transportation system is that its demands are non linear and the passengers' experience depends on many human factors. UnCrowdTPG is a mobile service and a research platform that has been developed for understanding the mobility patterns of the...
This paper introduces a new approach to design a vehicle detection module using a microwave motion sensor in order to obtain vehicle length and vehicle speed. The design of this module aims to apply for Intelligent Transport System (ITS) in which it plays a role as a unit of Traffic Detectors with Inductive Loops, Video, Infrared Sensors, etc. The module has advantages of using low power, costing...
Many applications of machine-to-machine (M2M) based intelligent transportation systems highly rely on the accurate estimation of neighbor map, where neighbor map mentions the locations of all nearby vehicles and pedestrians. To build the neighbor map, it usually integrates multiple sensors, such as GPS, odometer, inertial measurement unit (IMU), laser scanners, cameras, and RGB-D cameras. In this...
With the rapid introduction of new and innovative applications for handheld and On-board navigation devices and evolution in their hardware capabilities, the need for efficient and convenient resource provision for users arises. We propose user preferred optimal path route selection algorithm incorporating POIs or point of interests (POIs) that the user intends to traverse. Geographic area has been...
With the continuous expansion of the scope of traffic sensor networks, traffic sensor data becomes widely available and large in amount. Traffic sensor data gathered by large amounts of sensors shows the massive, continuous, streaming and spatio-temporal characteristics compared to traditional traffic data. In order to satisfy the requirements of different applications in Intelligent Transportation...
Random occurrences of traffic congestion on freeways lead to system degradation over time. If no smart control measures are applied, this degradation can lead to accumulated congestion which can severely affect other parts of the traffic network. Consequently, the need for an optimal and reliable traffic control has become more critical. The aim of this research is to control the amount of vehicles...
Remarkable progress has been made in intelligent transportation systems. For example, an autonomous vehicle can detect its position, other vehicles, pedestrians, and obstacles. Pedestrians with a smartphone can determine their position and send this information to the Internet. Even though vehicles and pedestrians can instantly determine their positions that information is mostly used within a narrow...
A control method of variable lane based on video detection is proposed in this paper to handle the adaptive switching of the lane's oriented attribute. Based on the image calibration, visual loop detectors are built up in the surveillance video of the intersection. Then, the characteristics of the traffic flow, such as flow rate, velocity, queue length, can be obtained by the video detection based...
Any vehicle license plate recognition system consists of three main components which include plate detection, character segmentation, and character recognition. The main theme of this paper is the improvement and innovation in the recognition of license plate characters. The assessments and the comparison between the performances of the methods proposed in this paper and the previous methods have...
A survey on current applications of Radio Frequency Identification (RFID) in railway industry has been reported in this paper. Application of RFID is one of the promising wireless communication technologies in the railway industry. A wide range of applications of RFID in railways is in the incipient stage in different parts of our globe. These are position and location of trains, operation and maintenance,...
City logistics is facing the challenging problem of providing a quick-response and on-time delivery service in congested urban areas with frequent traffic jams. The dynamically changing traffic conditions make the predetermined best transportation plans suboptimal and consequently cause increased logistics cost and even greater air pollution. To help the driver determine time-optimal routing solutions...
Never Stop is an intelligent transportation system with sensor to control the traffic lights at intersection automatically. It utilizes fuzzy control method and genetic algorithm to adjust the waiting time for the traffic lights, consequently the average waiting time can be significantly reduced. A prototype system has been implemented at an EBox-II terminal device, running the fuzzy control and genetic...
Vehicle Ad hoc Network (VANET) provides an opportunity for innovation in the transportation area, enabling services for Intelligent Transportation System (ITS). Because of VANET features, such as highly dynamic networks topology and frequent discontinuity, it is desirable to establish, at a given moment, routes for fast delivery of messages, having a low probability of disconnection. This leads to...
Intelligent transportation systems (ITS) include a broad variety of means of transportation and a broad variety of usage scenarios and user preferences and interests. To avoid a waste of spectrum and to keep deployment cost low, a combination of existing networks and infrastructure components especially dedicated to the ITS will built an ITS. As existing networks and new usage scenarios need to be...
There has been an ever-increasing interest in research on traffic detection and traffic scene understanding based on computer vision, driven by the increasing processor speed and the increasing deployment of cameras. This field is of increasing relevance for the intelligent transport system (ITS). Therefore, there seems to be a real need for an analytical review of recent developments in this domain...
At present, the effective management of logistics to some extent provides tangible benefits in the development of any business. Under current conditions, the inventory transactions are inextricably related to the information streams. Moreover, data are circulated not only within the corporate information ERP-systems, but also generated in other material objects, which include vehicles and various...
Advanced traveler information systems (ATIS) are one component of intelligent transportation systems (ITS), and a major component of ATIS is travel time information. Global positioning system-based automatic vehicle location (AVL) systems have been adopted by many transit agencies for tracking their vehicles and predicting travel time in real time. It is a very important subject to improve the precision...
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