The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Cooperative driving system techniques aim to minimize accidents, traffic congestion and consequently the environmental costs of road traffic. An accurate vehicle's pose is of extreme importance for the inner working of the traffic management systems. An agent based traffic simulator was developed integrating typical automotive sensors, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications,...
The paper presents IntelliFusion, an algorithm that fuses inductive loop detector data with real-time vehicle probe data obtained from Connected Vehicles to enhance back of the queue estimates. The work also presents an evaluation of the data fusion algorithm using datasets produced by eTEXAS, a microscopic traffic simulation model for signalized intersections. Results of the evaluation show queue...
This paper studies the configuration for intersecting flows of aircraft. Intersections of aircraft flows can be considered as basic building blocks for air traffic networks, and traffic networks can be designed through finding optimal arrangements of intersections whose conflict zones do not overlap. A conflict zone is defined as a minimal circular area centered at the intersection of two flows which...
In this study, we propose a novel, lightweight approach to real-time detection of vehicles using parts at intersections. Intersections feature oncoming, preceding, and cross traffic, which presents challenges for vision-based vehicle detection. Ubiquitous partial occlusions further complicate the vehicle detection task, and occur when vehicles enter and leave the camera's field of view. To confront...
This paper explores the performance of decentralized reinforcement learning agents with communication capabilities for the operation of traffic signals in an oversaturated network. An explicit coordinating mechanism is implemented as part of the reward structure of the agent using the max-plus algorithm, aiming at improving the network-wide performance. Results from a simulated network with realistic...
Head gesture detection and analysis is a vital part of looking inside a vehicle when designing intelligent driver assistance systems. In this paper, we present a simpler and constrained version of Optical flow based Head Movement and Gesture Analyzer (OHMeGA) and evaluate on a dataset relevant to the automotive environment. OHMeGA is user-independent, robust to occlusions from eyewear or large spatial...
In this paper a study is presented to use a driving motion capture system to capture and interpret driving motion for a better understanding of driver behaviors which is crucial to highway traffic safety. The impetus to do this research is triggered by the prevalent success of a motion capture system in other areas such as computer 3D animation, bio-mechanics and athletic sports analysis. Driving...
Sustainability has recently become a very important research area in transportation because of the dependencies between transportation, economic and environmental system. A lot of research is taking place in various aspects that try to understand the interdependencies. However, there is a need to capture the behavior of such systems over time. The research presented in this paper is the first attempt...
Studies have estimated that irregular operations (flights affected by a disruption) can cost between 2% and 3% of the airline annual revenue and that a better recovery process could result in cost reductions of at least 20%. Even for small airlines this can represent millions of Euros. In this paper we propose a multi-agent system (MAS) whose members represent the roles, functionalities and competences...
This study proposes a calibration methodology for microscopic traffic flow simulation models that has the capability to simultaneously consider all model parameters and also to calibrate such time-dependent aspects of the model as link counts. The Simultaneous Perturbation Stochastic Approximation algorithm provides the optimization engine that determines the calibrated set of model parameters. In...
This work models various collision situations that may happen to a driving vehicle on road in probability, and map such events to the visual field of the camera. The identification of dangerous events thus can be carried out based on the location-specific motion information modeled in the likelihood probability distributions. Depending on the motion flows detected in the camera, our algorithm will...
Bottlenecks at highway or urban freeway are one of origins of traffic congestion. Based on empirical investigation on traffic data collected from Beijing urban freeway, we find that when traffic is dense, upstream flow and ramp flow are correlated significantly. Competitions between the two flows at vicinities of several on-ramps during a morning peak are studied. Based on these empirical observations,...
Traffic light control is a challenging problem in modern societies. This is due to the huge number of vehicles and the high dynamics of the traffic system. Poor traffic management causes a high rate of accidents, time losses, and negative impact on the economy as well as the environment. In this paper, we develop a multiagent traffic light control system based on a multi-objective sequential decision...
To improve the stability control of automotive engineering, the vehicle dynamic information, including vehicle motion states and key parameters of vehicle dynamic, is essential. Especially, the sideslip angle, an important variable of the vehicle state, is difficult to measure directly for technology or economic reason. What's more, some key parameters of vehicle system, such as the mass of vehicle,...
With increasing affluence and growing urban populations, traffic congestion is a world-wide problem and affects almost everybody. One way to mitigate this problem is to provide real-time traffic information to drivers. This will allow them to make better travel and navigation decisions, such as avoiding congested areas or getting out of blocked lanes. In this paper, we consider a fully distributed...
We investigated a method to estimate the degree of driver awareness of surrounding vehicles based on the correlation between driver gaze direction and the risks caused by surrounding vehicles. The risks posed by surrounding vehicles were represented by their time to collision (TTC) from the driver's vehicle. We recorded driving data from five expert and five non-expert drivers while passing other...
Climate change and severe weather impacts on transportation and infrastructure have become global and environmental issues in the whole world. All human and transportation infrastructure systems are affected by climate change. Taiwan was hit by Typhoon Morakot and it caused a flood disaster in August 2009. This research focuses on the weather assessment measures of network reliability under route...
In order to study the influence of different vehicles to incident delay, traffic simulation is applied to make the delay predictions. Three major parts, respectively the establishment of simulation platform and parameter calibration, survey and calculation of traffic data, and case study, are described in the paper. For the establishment of simulation platform and parameter calibration, at first,...
The typical architecture of an Electric Power Assistance Steering (EPAS) system includes a static map to provide the correct amplification to the driver's exerted torque. In literature, it is generally known as booster curve. This paper concerns the study of the amplification criteria, that are commonly used to these booster curves. The basic concepts of the Electric Power Steering (EPS) systems with...
With the trend to highly automated driving, future driver assistance systems are required to correctly assess even complex traffic situations and to predict their progress. As soon as other road users are present the number of possible situations becomes infinite, rendering their assessment based on learned situation types impossible. In this paper we propose to break the situation down into sets...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.