Improved Vehicle Reidentification and Travel Time Measurement on Congested Freeways

Coifman, Benjamin; Ergueta, Edgar

doi:10.1061/(asce)0733-947x(2003)129:5(475)

Cited by 34 publications

(9 citation statements)

References 5 publications

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“…Alternatively, approaches that match cars lengths and restrict to small platoons of cars (2, 3 vehicles) have been developed [32,33].…”

Section: Car Plates Registrationmentioning

confidence: 99%

Personal Advanced Traveler Assistant

Radu¹

2011

Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics

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In spite of numerous road management schemes and developed infrastructure the society nowadays still faces the problem of highly congested roads due to the increasing trac demand.The focus of this thesis is to develop a complex and integrated system that addresses the challenges of dynamic trac assignment in modern times. To reach this goal we had to study the theory behind such systems, come with new ideas and implement them into a real world human-centered traveler information system. Taking into account state of the art systems in this eld we built a design for a Personal Advanced Traveler Assistant (PTA). The main purpose of PTA is to give routing advices depending on the users preferences and the available capacity in the network. The system incorporates a dynamic trac algorithm that employs a prediction model. The prediction model should use current trac updates and the routes of the guided cars in order to achieve an accurate prediction of the future traveling times.Next step was to implement a prototype. This is available through multiple interfaces like smart phones or desktop applications.The prediction model that the algorithm uses is based on historical data. Given the time constraints the prototype uses now only historical data but it can be easily extended to include live updates. This allowed us to build a prediction model that considers typical trac dynamics in order to estimate the traveling time.The performance measure of the trac assignment algorithm is the shortest traveling time. The algorithm that we implemented is a time dimensional-extended version of the Dijkstra algorithm. The algorithm is tested on real data collected from the highways in The Netherlands. We evaluate the performance of the algorithm by comparing it to two versions of the static Dijkstra algorithm.To conclude, we successfully implemented a working prototype that uses various technologies such as Java, the Open Street Map API for rendering the map or J2ME for the mobile phone client. The prototype that we have built represents a working proof of concept for a dynamic routing assistant. One advantage of the structure that we chose to implement is that each component can be further on extended independently. In this way we showed that such a system is feasible but we also left the possibility for dierent parts of the system to be extended into more advanced applications. The master thesis that you are reading represents my graduation project as a Master student at Delft University of Technology. I would like to take this opportunity and thank those who helped and supported me during the last 2 years. I thank especially to Prof. L.J.M. Rothkrantz for guiding my steps to successfully accomplish this master thesis. I am grateful to him for all the support he oered me, the eorts he invested in this research project, for giving me new ideas whenever I though I reached a dead end and not only. I would also like to thank him for trusting me and for making me feel more condent. I consider myself lucky to have met him and e...

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“…Alternatively, approaches that match cars lengths and restrict to small platoons of cars (2, 3 vehicles) have been developed [32,33].…”

Section: Car Plates Registrationmentioning

confidence: 99%

Personal Advanced Traveler Assistant

Radu¹

2011

Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics

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“…To achieve this goal several authors propose a smart use of loop detector data, on the basis of the re-identification of particular vehicles in consecutive loop detectors by means of characteristic length (Coifman and Ergueta, 2003;Coifman and Krishnamurthya, 2007) or particular inductive signature on the detector Sun et al, 1998Sun et al, , 1999). An extended approach of these algorithms is the re-identification of particular features of vehicle platoons instead of individual vehicles (Coifman and Cassidy, 2002;Lucas et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…4, needs retrofitting loop detector hardware. An alternative is using the vehicles' distinctive length [Coifman and Cassidy, 2002;Coifman and Ergueta, 2003;Coifman and Krishnamurthya, 2007]. However, only rare vehicles are being reidentified using these methods when lane changing and in/out flows at ramps between detectors are considered.…”

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confidence: 99%

“…The traditional practice to overcome this limitation is based on the assumption of a constant average vehicle length, which should be site specific, depending on the composition of traffic and which lane of the highway is being considered. Several studies reveal that this assumption provides speed estimates that are much too inaccurate to be used for real time management and traveler information systems, and present research efforts to improve speed estimates from single loop detectors [Dailey, 1999;Coifman, 2001;Coifman et al, 2003;Hellinga, 2002;Lin et al, 2004;Wang andNihan, 2000, 2003], achieving promising results, although very few references take into account the practical difficulties in modification of the loop detector controller procedures. Taking this into account, the vehicle "i" individual speed could be obtained from Equation 12 as:…”

mentioning

confidence: 99%

“…The lack of accuracy of single loop speed estimations, usually assuming constant vehicle length, is widely accepted and has been vastly analyzed for a long time. Several methods have been proposed to enhance single loop performance in terms of speed measurements [Petty et al, 1998;Mikhalkin et al, F. Soriguera (2010) 1972; Pushkar et al, 1994;Dailey, 1999;Wang and Nihan, 2000;2003;Coifman, 2001;Hellinga, 2002;Coifman et al, 2003;Lin et al, 2004], however, to solve this problem most highway administrations have chosen to install double loop detectors capable of an accurate speed measurement, at least on their metropolitan freeways where intensive traffic monitoring is crucial.…”

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confidence: 99%

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Highway Travel Time Estimation With Data Fusion

Soriguera¹

2016

Springer Tracts on Transportation and Traffic

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ADVERTIMENT. La consulta d'aquesta tesi queda condicionada a l'acceptació de les següents condicions d'ús: La difusió d'aquesta tesi per mitjà del servei TDX (www.tesisenxarxa.net) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d'investigació i docència. No s'autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d'un lloc aliè al servei TDX. No s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora.ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR (www.tesisenred.net) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR. No se autoriza la presentación de su contenido en una ventana o marco ajeno a TDR (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos. En la utilización o cita de partes de la tesis es obligado indicar el nombre de la persona autora. WARNING.On having consulted this thesis you're accepting the following use conditions: Spreading this thesis by the TDX (www.tesisenxarxa.net) service has been authorized by the titular of the intellectual property rights only for private uses placed in investigation and teaching activities. Reproduction with lucrative aims is not authorized neither its spreading and availability from a site foreign to the TDX service. Introducing its content in a window or frame foreign to the TDX service is not authorized (framing). This rights affect to the presentation summary of the thesis as well as to its contents. In the using or citation of parts of the thesis it's obliged to indicate the name of the author ABSTRACTTravel time information is the key indicator of highway management performance and one of the most appreciated inputs for highway users. Despite this relevance, the interest of highway operators in providing approximate travel time information is quite recent. Besides, highway administrations have also recently begun to request such information as a means to measure the accessibility service provided by the road, in terms of quality and reliability.In the last century, magnetic loop detectors played a role in providing traffic volume information and also, with less accuracy, information on average speed and vehicle length. New traffic monitoring technologies (intelligent cameras, GPS or cell phone tracking, Bluetooth identification, new MeMS detectors, etc.) have appeared in recent decades which permit considerable...

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Traffic Networks: Dynamic Traffic Routing, Assignment, and Assessment

Rakha¹,

Tawfik²

2009

Encyclopedia of Complexity and Systems Science

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Improved Vehicle Reidentification and Travel Time Measurement on Congested Freeways

Cited by 34 publications

References 5 publications

Personal Advanced Traveler Assistant

Personal Advanced Traveler Assistant

Highway Travel Time Estimation With Data Fusion

Traffic Networks: Dynamic Traffic Routing, Assignment, and Assessment

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