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Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on

Date 5-7 Oct. 2011

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Displaying Results 1 - 25 of 362
  • Book of abstracts of 14th International IEEE Annual Conference on Intelligent Transportation Systems

    Publication Year: 2011 , Page(s): 1 - 85
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    Summary form only given. Provides an abstract for each of the presentations in the conference proceedings. View full abstract»

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  • Welcome

    Publication Year: 2011 , Page(s): 1 - 16
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    Freely Available from IEEE
  • Program at a glance

    Publication Year: 2011 , Page(s): 1 - 3
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2011 , Page(s): 1 - 45
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    Freely Available from IEEE
  • Transport psychology based cognitive architecture for traffic behavior prediction

    Publication Year: 2011 , Page(s): 644 - 649
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1048 KB) |  | HTML iconHTML  

    Prediction of extemporaneous events in traffic surveillance is crucial in the prevention or alleviation of the gravity of accidents. Modeling of normal/abnormal behavior and mental state inference of drivers help in the prediction of such events. Traffic psychology lends itself to the development of such models. Analysis of driver state, emotion and behavior are important components of traffic psychology. However, most models based on traffic psychology are rather abstract and lack neurobiological grounding. They are also disparate from computational models of traffic monitoring. In this paper, we extend and develop neurobiologically grounded computational models for driver state and behavior inference by mimicking the mirror neuronal architecture. The developed system uses a combination of modular cognitive neurobiological architecture combined with traditional computer vision techniques for traffic monitoring resulting in prediction and detection of extemporaneous events. Psychophysical as well as neurobiological criteria are used for evaluation on both simulated and real data. The model is shown to be robust to perturbations, with rapid convergence (less than 0.2 normalized time units) in most cases. View full abstract»

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  • MegProp system for city rail-roads

    Publication Year: 2011 , Page(s): 901 - 906
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (828 KB) |  | HTML iconHTML  

    This paper talks about a new system which is proposed to replace present day railroads. The system is designed to have different magnetically propelled vehicles instead of numbered trains. The suggested vehicle will be propelled by embedded electromagnets in road and controlled by computers. The system will increase track utility efficiency by manifolds; will allow passenger to travel more comfortably then in crowded compartments; The outlets for passenger will get increased from just numbered Metro stations to infinite; Much many more people will be able travel; No passengers will need to change stations in between the trip, wait in queues for tickets and trains; The whole process of transportation will be automatic and will need much less manual interventions; Passengers can sleep or work more comfortably while travelling; BedCars concept can be applied which will allow people to reach destinations like office or home in sleep; will give option of traffic management which is unheard of until now like better management can be done in allocating dynamic lanes according to upside and downside traffic at peak hours; the vehicles will be silent; the vehicles will not pollute environment in any way. This paper also discusses about efficiency and security of this system. View full abstract»

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  • Analysis of open-loop and closed-loop planning for aircraft collision avoidance

    Publication Year: 2011 , Page(s): 212 - 217
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (494 KB) |  | HTML iconHTML  

    Open-loop planning has been a popular approach for developing aircraft collision avoidance systems. Open-loop planning computes a future plan to follow without anticipation of how future observations can affect the future course of action. Closed-loop planning, in contrast, takes into account the ability to react to future information. This paper explores trade-offs that exist between the two strategies as they apply to aircraft collision avoidance. It demonstrates some of the performance gains that can be realized by adopting a closed-loop planning strategy. View full abstract»

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  • Exploiting arc splines for digital maps

    Publication Year: 2011 , Page(s): 1 - 6
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (349 KB) |  | HTML iconHTML  

    In modern driver assistance systems digital maps have proven usefulness for many applications in providing information on the environment around the host vehicle. For future ADAS, relevant to traffic safety, high precision digital maps including detailed information about the course of individual lanes are needed. We introduce a new method for the generation of highly accurate digital maps including lane specific information based on a wide range of raw data sources. We show that the use of arc splines as a representation model of individual lanes is advantageous for both computational efficiency and accuracy. Therefore, this method is useful for a wide variety of applications using digital maps to enrich driving comfort and traffic safety. View full abstract»

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  • Multi-target threat assessment for automotive applications

    Publication Year: 2011 , Page(s): 433 - 438
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (430 KB) |  | HTML iconHTML  

    Auto-brake systems have been on the market for a few years, but in order to continue improving their performance, multi-target threat assessment is a key component. The goal is to early be able to say that a collision can no longer be avoided by a steering maneuver, and thus braking can be started earlier. This is done by looking at all objects in the road scene, including other vehicles and barriers, and then looking for escape paths. The paper presents a computationally efficient way of determining whether an escape path can be found in a scenario with generally positioned objects, given the limited dynamics of the vehicle. View full abstract»

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  • Vehicule identification from inductive loops application : Travel time estimation for a mixed population of cars and trucks

    Publication Year: 2011 , Page(s): 507 - 512
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (756 KB) |  | HTML iconHTML  

    This paper addresses the use of existing widespread Inductive Loops Detector (ILD) Network for realizing an estimation of individual travel time for a mixed population of cars and trucks. The aim is to provide traffic information to both users and traffic managers. The identification of vehicles is realized by comparing the destination inductive signature features with the origin inductive signature features using an identification method. In this paper, we propose to use three identification methods : a Bayesian based learning approach, a fuzzy logic method and the SVM method. These methods are evaluated on a real site. In order to increase the level of identification, several propositions are carried out and discussed. View full abstract»

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  • RoadGraph: High level sensor data fusion between objects and street network

    Publication Year: 2011 , Page(s): 1380 - 1385
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1285 KB) |  | HTML iconHTML  

    The RoadGraph is a graph based environmental model for driver assistance systems. It integrates information from different sources like digital maps, onboard sensors and V2X communication into one single model about the vehicle's environment. At the moment of information aggregation some function independent situation analysis is done. In this paper we look at techniques for lane-precise map-matching even with moderate GPS reception using distinct information sources. We also analyze the concepts of aggregating objects from different sources with a-priori knowledge of the street-layout. Results of this novelty approach are shown. View full abstract»

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  • Parking guidance — Modelling, simulation and impact assessment

    Publication Year: 2011 , Page(s): 858 - 864
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (531 KB) |  | HTML iconHTML  

    Intelligent parking services that help drivers with reservation of a parking spot, navigation and automated payment have reached the deployment phase. These services may provide significant benefits to drivers and municipalities. Drivers may experience an increase in comfort and lower and more reliable travel times, while cities may expect a reduction in search traffic, congestion and emissions. But how large are these benefits, and how do they compare to the benefits of more traditional parking guidance and information systems, such as panels that indicate the number of available places in car parks? This paper addresses these questions by conducting a simulation study for a large city in the Netherlands and comparing the effects of the new and the traditional approach. View full abstract»

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  • Distributed problems of monitoring and modern approaches to traffic modeling

    Publication Year: 2011 , Page(s): 477 - 481
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (301 KB) |  | HTML iconHTML  

    The paper discusses some mathematical models of traffic flow. We have introduced the concept of a stationary r-connected traffic flow on k-lane road as a development of the hydrodynamic approach and cellular automata method. A client-server based software “SSSR”-system, using smart-phone programming, for evaluating a distance of safety in continuous traffic was developed. A series of experiments were carried out using the SSSR-system, the results showing good agreement with those obtained by Greenshields in 1933. Other problems of traffic monitoring and control by the programmed SSSR-system are discussed. We also introduce a few open problems. View full abstract»

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  • Field trial and study of route-tracking beamforming over high-speed railway

    Publication Year: 2011 , Page(s): 2063 - 2067
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (571 KB) |  | HTML iconHTML  

    Provision of high data rate services on train has attracted a great attention recently. To evaluate the improvement of route-tracking beamforming over high-speed railway communication system, a low-complexity platform was proposed and experiments were carried out over Taiwan High Speed Railway (THSR) train. With Global Positioning System (GPS) information feedback and antenna direction adjustment the received signal strength indicator (RSSI), Carrier to Interference-plus-Noise Ratio (CINR), throughput and cell coverage were improved. Also the influence over path loss model and Transmission Control Protocol (TCP) throughput behavior were analyzed. To conclude, this research provides evaluation steps and analysis reference for deploying route-tracking beam-forming technology over high-speed railway communication system. View full abstract»

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  • Development and simulation application of a dynamic speed dynamic signal strategy for arterial traffic management

    Publication Year: 2011 , Page(s): 1349 - 1354
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1089 KB) |  | HTML iconHTML  

    A traffic management with dynamic speed guidance and dynamic signal timing (DSDS) is presented to optimize the arterial coordinated signal control system. Details are discussed including VMS positioning, guided speed calculation, signal timing adjustment and DSDS integration model This strategy provides the vehicles with a possibility of passing the intersections without stop through guiding them with necessary speed dynamically in the link segment and adjusting the signal timing of the preceding intersection according to vehicle detected data Thus the stopped delay of traffic flow can be impressively decreased VISSIM, a microscopic simulator is applied to develop simulation architecture as a test tool of this strategy. As a case study, Cao'an Highway, a suburban highway in Shanghai, is taken for simulation and evaluation. The preliminary assessment results show that: the improvement of the delay and number of stops is obvious and robust considering the driver behavior. View full abstract»

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  • Landmark based fast positioning for sensor data fusion — Receiver design and measurement results

    Publication Year: 2011 , Page(s): 25 - 30
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (368 KB) |  | HTML iconHTML  

    New developments in active safety systems include sensor data fusion from multiple vehicles. Especially cameras are gaining importance as sensors and fusing image data from multiple vehicle enables 3D scene recognition. The requirement for these new systems is the knowledge of the exact position of the vehicles. It is crucial that image and distance information is closely related. New approaches use additional sensor data to improve positioning of global navigation satellite systems coupled with inertial measurement units. A novel approach suitable for positioning for image data fusion is proposed. The system is based on laser distance measurement to landmarks. Focusing on receiver characteristics such as opening angle, signal to noise ratio and crosstalk, a system realization is presented. Outdoor in-vehicle measurement results show the feasibility of the proposed method to improve positioning accuracy. View full abstract»

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  • Model-based traffic and emission control using PWA models — A mixed-logical dynamic approach

    Publication Year: 2011 , Page(s): 2142 - 2147
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (516 KB) |  | HTML iconHTML  

    For the purpose of traffic control a piecewise-affine (PWA) approximation of the METANET model is proposed and tested in a model-based predictive control (MPC) framework. This approximation is provided as an alternative to the rather intensive computations when using the original nonlinear nonconvex METANET traffic flow model extended with a model for vehicular emissions and fuel consumption in an MPC context. As a direct PWA-MPC computation turned out to be intractable for on-line applications due to the size of the final, full PWA model that consists of a large number of PWA regions, the PWA model equations were additionally converted into a mixed-logical dynamic (MLD) model. The resulting MLD-MPC problem - written as a mixed-integer linear program (MILP) - can be solved much more efficiently as it does not explicitly state all model equations for each particular region. In a simple case study on a traffic network including a variable speed limit and an un-metered on-ramp while optimizing the total time spent (TTS), we compared the performance of the approximate MLD-MPC approach to that of model predictive traffic control when using the original nonlinear formulation of the METANET model. View full abstract»

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  • Asynchronous real-time framework for knowledge-based intersection assistance

    Publication Year: 2011 , Page(s): 1680 - 1685
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1903 KB) |  | HTML iconHTML  

    Recently, a demand for advanced driver assistance in sophisticated situations with multiple traffic objects and complex infrastructure has emerged. To handle this kind of situations we developed a knowledge-base to model abstract qualitative information of traffic situations, up to very complex traffic intersections. We further created an asynchronous real-time simulation framework to investigate applicability of knowledge-based driver assistance systems within vehicle or traffic management systems. While the simulation with sensor data is running with very short update cycles the knowledge-base is updated asynchronously since reasoning is time expensive. Driver assistance functions are able to query the knowledge-base once it is fully reasoned. We especially focus on safety assistance systems and performed tests of our knowledge-based framework on exemplary intersection assistance functions. Results show the capability to perform semi and fully autonomous warning and deescalation assistance functions in real-time. View full abstract»

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  • Traffic violation alert and management

    Publication Year: 2011 , Page(s): 1716 - 1720
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (929 KB) |  | HTML iconHTML  

    The present paper presents an in-vehicle system for traffic violation alert and management. The system hardware consists of a combination of an on-board computer vision system for traffic sign detection and recognition with a data recorder device for traffic violation alert and management. At present, traffic violations are only focused on three signs: namely speed limit, stop sign, and forbidden turning. The system is designed to warn drivers about potential traffic violations by emitting acoustical messages through vehicle loudspeakers. These messages are issued with sufficient notice to provide the driver with enough time to react to the oncoming traffic situation. However, when a traffic violation is committed, the corresponding offence information such as vehicle speed, GPS location, and other driving parameters, are saved in a database for off-line analysis. In addition, an auxiliary application permits the registered traffic violations to be represented as a standard Google Earth map. The prototype was tested in a real scene under different lighting conditions and showed reasonable results. View full abstract»

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  • An investigation of proportionally fair ramp metering

    Publication Year: 2011 , Page(s): 490 - 495
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (534 KB) |  | HTML iconHTML  

    This paper concerns ramp metering which is one important approach to dealing with congestion on motorways. Congestion occurs when demand exceeds available resources and can significantly reduce the capacity of the motorway network at peak times. Reduced capacity results in additional delays, increased environmental pollution and hinders passenger safety. Congestion is observed to cause low but highly volatile speeds resulting in more uncertain journey times (referred to as flow breakdown or stop-and-go behaviour). Ramp metering is intended to control the entry of new flow in such a way as to maintain steady flow on the motorway and to avoid the loss of capacity associated with congestion. The rate of entry of flow is set according to the particular ramp metering strategy. Such strategies have been the subject of much attention in the transport literature. One of the key issues is the trade-off between efficiency and fair use of resources. This is a trade-off that has been considered extensively in the modelling and control of communication networks. This paper adds to recent work on a ramp metering strategy, proportionally fair metering, inspired by rate control mechanisms developed for the Internet. Specifically, we use simulation results to compare proportionally fair metering with a greedy strategy for a linear network with a series of entry points leading towards a single common destination for all the traffic, such as a radial route towards a city centre. Under our modelling assumptions, the greedy strategy is provably optimal for exogenously determined arrival streams of traffic, but it is unfair, in a certain precise sense, between different entry points and may well have perverse and suboptimal consequences if it influences traffic demand. We further consider a network with parallel roads where flows of traffic may have route choice according to the levels of queueing at the individual entry points. View full abstract»

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  • A non dynamic model for ITS assessment

    Publication Year: 2011 , Page(s): 865 - 872
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (337 KB) |  | HTML iconHTML  

    One of the elements of ITS assessment is the comparison of actual traffic conditions (after ITS has been installed) and traffic conditions which would have occurred, had no change happened. Apart from traffic simulation, which is the most appropriate tool to predict traffic conditions in the case of saturation by virtue of the dynamic (in time and space) equations included, a data driven traffic model is a credible alternative, particularly when congestion is not the core of the problem and when the closeness to initial data is important to compare indicators. Such a tool is outlined here, with its advantages and drawbacks. A very limited numerical application is given. Lines of future research to develop the model are proposed. View full abstract»

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  • Probabilistic neural networks for the identification of traffic state

    Publication Year: 2011 , Page(s): 754 - 759
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (529 KB) |  | HTML iconHTML  

    The paper proposes a method of real-time traffic state estimation for highways based on probabilistic neural network (PNN). In China, the traffic composition of highways is different from urban road, motorway. The large vehicles have a higher proportion. Poor operating performance and overloading of large vehicles are serious and constitute a serious threat to road traffic safety. So the proportion of large vehicles is chosen as one of classification indicators. The number of classification indicators is determined by calculating the correlation coefficient between each other. Reduction of parameters reduces the complexity of model. The new method is verified by the empirical data comes from G101 national highways, Shunyi District of Beijing. To evaluate the performance of the method, fuzzy C-mean clustering (FCM) algorithm is also applied to the classification problem. The results prove that the new method improves the stability and accuracy of identification. View full abstract»

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  • A real-time lane departure warning system based on FPGA

    Publication Year: 2011 , Page(s): 1243 - 1248
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1697 KB) |  | HTML iconHTML  

    This paper presents a vision based Lane Departure Warning System (LDWS) and its implementation on a Field Programmable Gate Array (FPGA) device. It is used as a Driver Assistance (DA) system that supports drivers and helps avoiding accidents. The FPGA technology has the advantages of high-performances for digital image processing and low cost, both of which are the requirements of the DA systems. The main contributions of this work are threefold: 1) a hardware architecture, which combines Single Instruction Multiple Data (SIMD) structure and Single Instruction Single Data (SISD) structure based on FPGA, is implemented. This architecture is in possession of both efficiency and flexibility. Therefore, it can be employed to handle many vision processing tasks in real time; 2) an improved parallel Hough Transform (HT) is introduced. Compared with traditional HT, we move the origin to the estimated vanishing point, so as to reduce the storage requirements and improve the detection robustness; and 3) a simple and efficient warning strategy is presented which can be implemented on FPGA easily. Experiments illustrate the high performance of the introduced system in various common roadway scenes. View full abstract»

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  • A contour classifying Kalman filter based on evidence theory

    Publication Year: 2011 , Page(s): 1392 - 1397
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1787 KB) |  | HTML iconHTML  

    In the project Stadtpilot, introduced in [1], the object based environment perception system developed by the urban challenge team CarOLO at Technische Universitat Braunschweig, as presented in [2], has been enhanced. The context of this new project is more challenging as now because it includes public traffic on large inner-city loops. Other vehicles are described by the project's sensor data fusion by an open polyline (contour) with many points. Some of these points lie on straight lines or they represent noise of the contour which do not contribute to the object's description. These extra points complicate an effective tracking and deform the contour of the object hypothesis. Because of the numerous traffic and due to the change in the environment's type, surrounded vehicles very often create a change of view. This results in no or less measurement updates of some points in the contour and can result in its deformation. In an effort to overcome this problem, the contour estimating Kalman filter, presented in [3], has been enhanced by improved point update algorithms as well as a contour classifier based upon evidence theory. These enhancements allow the decrease of the used points. Changes of view, due to passing traffic, are better identified because the classifier identifies the most likely shape explicitly. View full abstract»

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  • Vehicle lane keeping control based on piecewise affine regions

    Publication Year: 2011 , Page(s): 907 - 912
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (709 KB) |  | HTML iconHTML  

    This paper shows the design of a lane keeping steering control, that considers the nonlinear behavior of the tire-road lateral forces, by parameterizing its dynamics with respect to the yaw rate, as it is a low cost measurable variable. The proposed control strategy uses a piecewise linear (PWL) proportional double-integral derivative (PIIDi) control based on the lateral offset, measured by the vision system. The switches of the PWL controller are triggered by the yaw rate to take into account the nonlinear behavior of the tire forces. The stability is proved by a piecewise quadratic Lyapunov function. Simulation tests, including disturbances rejections and step references, are carried out on a standard CarSim D-Class vehicle model to explore the robustness with respect to unmodelled dynamics. The simulation results confirm that the proposed PWL control can greatly improve the vehicle stability and it is advantageous in very demanding maneuvers. View full abstract»

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