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Knowledge about the driving behavior of a driver is important for applications in many different areas, especially for Advanced Driver Assistance Systems. The driving style does not only affect the current driver and his vehicle but also his environment. For example, usage-based insurances classify the driving style in order to reward calm drivers by granting them a discount. In this paper we present...
Greenhouse gas emission by the increasing number of vehicles have become a significant problem in modern cities. To save energy and protect environment, recommending fuel-efficient routes to drivers becomes a promising way to alleviate this issue. To this end, in this paper, we present a novel fuel-efficient path-planning framework called GreenPlanner, which contains two phases. In the first phase,...
We proposed and developed a taxi-sharing system that accepts taxi passengers' real-time ride requests sent from smart phones and schedules proper taxis to pick up them via ride sharing, subject to time, capacity, and monetary constraints. The monetary constraints provide incentives for both passengers and taxi drivers: passengers will not pay more compared with no ridesharing and get repayment if...
Rash driving is one of the primary reasons for road fatalities. However, the existing literature seldom talks about precise quantitative measures to assess behaviors like rash driving during traffic analytics. Moreover, the subjective factors like broken road patches, high peak bumps (or some time known as speed breakers in some countries), poor night illumination etc. have not been taken into consideration...
Accidents have become one of the usual occurrences on roads throughout the world. Thousands of people lose their lives or become disabled every day. Speed limits are enforced to control the movement of vehicles along traffic lanes. As per the research statistics, violation of speed limits by the drivers is one of the significant reasons for the road accidents. Detecting the drivers who violate speed...
The ability of a smartphone to provide motion sensing information enables a low-cost, portable tool to analyze and understand vehicle driving events. Fuel economy, Driving Safety, and better estimation of driving cost can be analyzed based not only on distance and time of travel but also on the nature of driving. This work studies sensors data collected during a field drive test and proposes a new...
Over Speed is one of the main reasons for increase in the occurrence of accidents nowadays. Many techniques are being used for over speed monitoring. However, these methods require lot of man power. In this paper, we present the design and implementation of a system, which provides a simple way to traffic authorities for monitoring of all the vehicles from the control room itself. This system calculates...
High resolution 3D mapping of road systems is currently being carried out by expensive Mobile Mapping Systems (MMS) but coverage is limited. Recently Low Cost Sensor (LCS) systems have been developed which use common, low cost, internal MEMS position sensors from mobile phones, but such sensors come with a reduced absolute and relative positional accuracy. This study investigates the registration...
Personal route prediction (PRP) has attracted much research interest recently because of its technical challenges and broad applications in intelligent vehicle and transportation systems. Traditional navigation systems generate a route for a given origin and destination based on either shortest or fastest route schemes. In practice, different people may very likely take different routes from the same...
In recent years, there has been growing interest in the design of intelligent transportation systems (ITS) using vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication technologies. These systems allow vehicles to share GPS-based information, such as latitude, longitude, speed and heading, as well as important vehicle data such as brake events, throttle position, turn signal status,...
Recent advances in location-acquisition and mobile sensing technologies have enabled tracking of vehicle movements (i.e., trajectory data). Massive trajectory datasets are processed routinely (often in real-time) to provide support for many new types of IoV (Internet of Vehicles) applications (e.g., traffic congestion management, and load-coordination across electric vehicle charging stations). High-volume,...
This paper considers the vehicle positioning problem of an automobile on-board navigation system which is mainly supported by Global Positioning System (GPS). To complement GPS, the existing navigation techniques incorporate additional vehicle sensors, together with the map data to match the positioning solution with the road map. We propose an advanced map-matching algorithm that integrates the additional...
Speed measurement is an important issue for some types of Wireless Sensor Networks (WSN), especially for Vehicular Ad-hoc Networks (VANETs). However, calculating this value is error-prone and costly. This report intends to demonstrate the calculation of speed of an object without the use of any additional devices or sensor boards, only using Received Signal Strength Indication (RSSI) for localization...
Naturalistic driving recordings are important for understanding the driver behavior. Driver behavior events of interest in these recordings, such as driver confusion and stress, are important for studying driver behavior and develop the next generation advanced driver assistant systems (ADASs). Unfortunately, such events are rare cases in the naturalistic driving data. Manual annotation is usually...
Human mobility is known to follow simple reproducible patterns, i.e., humans tend to travel a few known places. Early detection of those “significant journeys” has a prospect for emerging smart applications like real-time traffic route recommendation and automated HVAC (heating, ventilating, and air conditioning) systems. In this paper, we design, implement, and evaluate a mobile system that effectively...
Map matching is an important part of map routing in modern transportation applications. In the map matching process, the effect of two main components, i.e. (i) the features of road networks, and (ii) the design aspects of geolocation services, is still not well understood. In this paper, using a combination of probabilistic analysis and simulations we study the effects of the above factors on the...
Automatic Vehicle Location (AVL) is becoming an important tool in Intelligent Transportation Systems (ITS) in the past few years, as it is an effective way of collecting and transmitting data regarding the vehicle's trip for real-time or future use. A methodology for analyzing the state of the art regarding the application of these systems is proposed in a form of a systematic literature review, by...
Road hotspots detection method is a key issue in the field of intelligent transportation research. Compared with normal hotspots caused by high traffic flow, abnormal hotspots, which are results of road accidents, perform an occurrence time random behavior and difficult to predict. In this paper, a region real-time congestion factor is constructed to realize road abnormal hotspots discovery. Based...
Advances in computer hardware and sensing technologies have enabled the design and development of low-cost autonomous underwater vehicles (AUVs). The reduced cost of new platforms such as the Bluefin SandShark present the opportunity for more frequent and high-risk AUV-based experiments and reduce the barrier to entry for multi-vehicle operations. The smaller size of these new vehicles compared to...
Effective autonomous underwater vehicle (AUV) mission uncertainty management requires identifying optimal mission profile based on multiple uncertain attributes. The new deep underwater glider being developed by the BRIDGES consortium will enable the use of low power AUV to sample three different phenomena: living things, sea mining and oil and gas exploration. In order to have the versatility to...
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