{"title":"Scaling up impact assessment results through statistics and simulation","authors":"M. Noort, E. Jonkers, W. Haak, T. Ouboter","doi":"10.1109/ITSC.2011.6082842","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082842","url":null,"abstract":"For a successful introduction of Intelligent Transport Systems (ITS) it is important to determine (socio-economic) impacts and societal costs and benefits of these systems beforehand, and to develop business models. Governments usually make investment decisions based on these aspects. In the field of ITS tools exist for the separate parts of this analysis, but an integrated tool that combines impact assessment, cost benefit analysis and business modelling is lacking. A crucial step in such an integrated tool is scaling up: translating small scale traffic effects to large scale societal benefits. Traffic effects are usually determined in an experiment, for example a Field Operational Test or micro simulation, for scenarios limited in time and geographical scale. A societal cost benefit analysis demands results on for example country or EU level, for a whole year. In practice little attention is paid to the methodology for scaling up. In the European project ITS Test Beds TNO has developed a practical methodology for scaling up, integrating the tools for micro simulation and cost benefit analysis using statistics. Another way of scaling up small scale traffic effects is using macro simulation. This paper describes the problems that play a role in scaling up, and works out the two mentioned scaling up methods. An illustration of scaling up with statistics is given with a case study on Speed Alert.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124349643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring spatial characteristics of urban transportation networks","authors":"Yuxuan Ji, N. Geroliminis","doi":"10.1109/ITSC.2011.6083062","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083062","url":null,"abstract":"It has been shown recently that a Macroscopic Fundamental Diagram (MFD) exists in urban transportation networks under certain conditions. However, MFD is not universally expected. Previous research demonstrates the existence of MFDs in homogeneous networks with similar link densities. More recent work focuses on the partitioning of a heterogeneous transportation network based on different congestion levels. A desired partitioning produces homogeneous regions with similar link densities to guarantee a well-defined MFD and spatially compact shapes to ease the implementation of control measurements [1]. Based on recently proposed partitioning mechanism, this paper further explores the spatial characteristics of sub-networks (sub-regions or clusters) in urban transportation networks. In this paper, a metric is defined to evaluate the spatial compactness of each cluster in the network. In order to obtain the metric, a fast graph traversal algorithm is proposed, which can produce a clockwise sequence for the spatially coordinated boundary nodes along a network. The algorithm takes O(n) and the effectiveness is proved and validated. By applying the boundary smoothness metric to our previous clustering results, we show that the spatial compactness is appropriately guaranteed for each region and the future control policies can therefore be easily implemented based on the partitioning and MFDs. The proposed algorithms can have more general applications in fields of network and graph theory.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129401334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vehicle lane keeping control based on piecewise affine regions","authors":"André Benine-Neto, S. Scalzi, S. Mammar","doi":"10.1109/ITSC.2011.6082817","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082817","url":null,"abstract":"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.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129634310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christoph Stögerer, I. Brandić, Vincent C. Emeakaroha, W. Kastner, T. Novak
{"title":"Applying availability SLAs to traffic management systems","authors":"Christoph Stögerer, I. Brandić, Vincent C. Emeakaroha, W. Kastner, T. Novak","doi":"10.1109/ITSC.2011.6082941","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082941","url":null,"abstract":"For today's Traffic Management Systems (TMS), availability is a key concern. Failures in the system limit its availability and have direct impact on the total cost of ownership (TCO) through additional maintenance costs. Therefore, availability parameters are often subject of contracts (so called Service Level Agreements (SLAs)) between system owners, maintenance contractors, and component vendors. With the growing complexity of such systems by means of multi-vendor environments consisting of various subsystems and components interconnected over numerous levels of hierarchy, enforcement of these agreements is getting a complex task. Therefore, advanced SLA enactment strategies are necessary, which include appropriate concepts that support the mapping of low-level resource metrics like the up- and down-time of a particular component to high-level application specific SLA-parameters (such as system availability). In this paper, we show the application of the LoM2HiS framework as an example technology for the automatic enforcement of availability SLAs in the field of TMS. We discuss possible SLAs for TMS and the required adoptions to the framework in order to meet the application-specific needs. Finally, we present first simulation results.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127907190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Surround view pedestrian detection using heterogeneous classifier cascades","authors":"Markus Gressmann, G. Palm, O. Löhlein","doi":"10.1109/ITSC.2011.6082895","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082895","url":null,"abstract":"Pedestrian detection is of particular interest to the automotive domain, where an accurate estimation of a pedestrian's position is the first step towards reliable collision avoidance systems. Driven by rapid advances in technology, several systems to detect pedestrians in front of a moving vehicle have been proposed in recent years. This paper introduces a novel pedestrian detection system for low-speed driving scenarios, capable of detecting pedestrians in a 360-degree fashion around the vehicle. Detected pedestrians are displayed to the driver in an intuitive way using a dynamically generated Birds's Eye View image. Furthermore, a novel classifier architecture to efficiently handle this complex application scenario is provided. By combining the processing speed of a classifier cascade with the discriminative power of a multi-stage neural network, the system achieves state of the art performance while retaining real-time capability. To keep classifier complexity low, a new feature-based inter-stage information transfer method is presented. All classifier components are compared to recent pedestrian detection approaches and evaluated on a real-world data set.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114286613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating active traffic and demand management strategies for congested tourism traffic corridor","authors":"Hong Zheng, E. Nava, Y. Chiu","doi":"10.1109/ITSC.2011.6082860","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082860","url":null,"abstract":"This paper presents and demonstrates, through a case study, the effectiveness of active traffic and demand management (ATDM) for a congested Interstate 70 corridor. Specifically, the ATDM strategies examined, in this study, focus on departure time adjustment under a financial incentive framework and Hard Shoulder Running. A traffic-simulation and assignment model was used to cast realistic travel choice analyses. The effectiveness of ATDM strategies in mitigating corridor congestion is verified by a set of comprehensive comparisons with different level of incentive magnitude. The result shows that combined use of several ATDM strategies is promising in significantly reducing the current congestion on I-70 corridor due to seasonal tourist traffic.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114173458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Sanchez, Christopher Flores, R. Horowitz, R. Rajagopal, P. Varaiya
{"title":"Arterial travel time estimation based on vehicle re-identification using magnetic sensors: Performance analysis","authors":"R. Sanchez, Christopher Flores, R. Horowitz, R. Rajagopal, P. Varaiya","doi":"10.1109/ITSC.2011.6083003","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083003","url":null,"abstract":"Two versions of an arterial travel time estimation method based on vehicle re-identification using wireless magnetic sensors were studied across an arterial segment with multiple intersections. Both methods are based on the same travel time estimation system, but one of them uses the so called original signal processing algorithm while the other one uses a recently modified version of it. Both methods were tested on a 0.51 km (0.32 mile)-long segment of West 34th Street in New York, NY, under harsh driving conditions (i.e. right after a winter storm). The original and modified system results were compared against ground truth data obtained from video. Based on the ground truth data it was possible to determine the travel time distribution and the percentage of vehicles that each of the different methods was able to re-identify. During an analysis period of 45 minutes, 318 vehicles were registered to go across the arterial segment. The original method has a 62% re-identification rate, while the modified method has a 69% rate. Based on comparisons of travel time distribution and empirical cumulative distribution functions, it was observed that the modified method travel time distribution is closely related to the ground truth distribution, while the original method significantly diverges from the ground truth at long travel times.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114322333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Gasparini, E. Bouillet, Francesco Calabrese, O. Verscheure, Brendan O'Brien, Maggie O'Donnell
{"title":"System and analytics for continuously assessing transport systems from sparse and noisy observations: Case study in Dublin","authors":"L. Gasparini, E. Bouillet, Francesco Calabrese, O. Verscheure, Brendan O'Brien, Maggie O'Donnell","doi":"10.1109/ITSC.2011.6082982","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082982","url":null,"abstract":"This paper describes our implementation of an Intelligent Transportation System, built for the road administration authority at Dublin City Council. The system is able to ingest data from different sources, while providing updated speed and traffic flow measurements, travel time estimates and statistical aggregations of current traffic conditions in real-time to the user. The application is powered by IBM Infosphere Streams, which enables it to easily scale to hundreds of thousands of data points processed per second, while maintaining sub-second delay from data acquisition to delivery. In this work we provide an overview of the analytics and the application architecture used to deliver the required capabilities.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122278663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of lane change driver model for closed-loop simulation of the active safety system","authors":"Taeyoung Lee, Beomjun Kim, K. Yi, C. Jeong","doi":"10.1109/ITSC.2011.6083039","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6083039","url":null,"abstract":"In this paper, the integrated lane change driver model was proposed and used in simulations of closed loop simulation of the ESC system. Through the lane change experimental data, the driver's characteristics can be obtained and analyzed. By using the lane change steering input and the lane following steering input with weighting factors, lateral driver model is operated steering action to change or follow the lane. Also, simulation results of the proposed lane change model are compared with the experimental test data, and closed loop evaluation was conducted with ESC system. It has been shown that the proposed integrated lane change driver model can control a vehicle very similar to human manual driving in lane change situations and can represent a normal driver's driving motion. Consequently, the proposed driver model presented in this study can be used into a closed-loop simulation and development of the vehicle's intelligent safety system.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129326997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Hülsen, Johann Marius Zöllner, Nino Haeberlen, Christian Weiss
{"title":"Asynchronous real-time framework for knowledge-based intersection assistance","authors":"Michael Hülsen, Johann Marius Zöllner, Nino Haeberlen, Christian Weiss","doi":"10.1109/ITSC.2011.6082810","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082810","url":null,"abstract":"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.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129218272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}