{"title":"Neuro-Fuzzy Actor Critic Reinforcement Learning for determination of optimal timing plans","authors":"L. Chong, M. Abbas","doi":"10.1109/ITSC.2010.5625260","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625260","url":null,"abstract":"The purpose of timing plan optimization is to decrease delay and increase the overall performance of transportation network. This paper presents an agent-based reinforcement learning framework to train optimization agents to take appropriate actions according to perceived traffic states. Neuro-Fuzzy Actor-Critic Reinforcement Learning (NFACRL) method is applied in isolated intersection control. The control agent gets knowledge of traffic states after the learning process and determines the optimal phase durations required to minimize vehicle delay at a given intersection.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132365471","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}
A. Bejan, R. Gibbens, David Evans, A. Beresford, J. Bacon, A. Friday
{"title":"Statistical modelling and analysis of sparse bus probe data in urban areas","authors":"A. Bejan, R. Gibbens, David Evans, A. Beresford, J. Bacon, A. Friday","doi":"10.1109/ITSC.2010.5625144","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625144","url":null,"abstract":"Congestion in urban areas causes financial loss to business and increased use of energy compared with free-flowing traffic. Providing citizens with accurate information on traffic conditions can encourage journeys at times of low congestion and uptake of public transport. Installing the measurement infrastructure in a city to provide this information is expensive and potentially invades privacy. Increasingly, public transport vehicles are equipped with sensors to provide real-time arrival time estimates, but these data are sparse. Our work shows how these data can be used to estimate journey times experienced by road users generally. In this paper we describe (i) what a typical data set from a fleet of over 100 buses looks like; (ii) describe an algorithm to extract bus journeys and estimate their duration along a single route; (iii) show how to visualise journey times and the influence of contextual factors; (iv) validate our approach for recovering speed information from the sparse movement data.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132464566","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":"An experimental study on the fuel reduction potential of heavy duty vehicle platooning","authors":"A. Alam, Ather Gattami, K. Johansson","doi":"10.1109/ITSC.2010.5625054","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625054","url":null,"abstract":"Vehicle platooning has become important for the vehicle industry. Yet conclusive results with respect to the fuel reduction possibilities of platooning remain unclear. The focus in this study is the fuel reduction that heavy duty vehicle platooning enables and the analysis with respect to the influence of a commercial adaptive cruise control on the fuel consumption. Experimental results show that by using preview information of the road ahead from the lead vehicle, the adaptive cruise controller can reduce the fuel consumption. A study is undertaken for various masses of the lead vehicle. The results show that the best choice with respect to a heavier or lighter lead vehicle depends on the desired time gap. A maximum fuel reduction of 4.7–7.7% depending on the time gap, at a set speed of 70 km/h, can be obtained with two identical trucks. If the lead vehicle is 10 t lighter a corresponding 3.8–7.4% fuel reduction can be obtained depending on the time gap. Similarly if the lead vehicle is 10 t heavier a 4.3–6.9% fuel reduction can be obtained. All results indicate that a maximum fuel reduction can be achieved at a short relative distance, due to both air drag reduction and suitable control.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130216706","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":"Urban Traffic Control system using self-organization","authors":"G. Slager, M. Milano","doi":"10.1109/ITSC.2010.5625236","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625236","url":null,"abstract":"This paper presents a Urban Traffic Control (UTC) system, inspired to techniques exploited by social insects to coordinate themselves and specialize their behaviour, without any centralized coordination or explicit communication. Local traffic is handled at an intersection by a controller, executing simple local reactive rule-based policies. Every intersection controller chooses on its own which policy to use, according to stimuli perceived from the environment through sensors, thus being influenced by other controllers indirectly. The execution of simple reactive local policies lets an overall traffic control to emerge, with complex behaviours not defined a priori and unaware to the single controller. Simulations demonstrate that the exploiting of emergent behaviours is desirable, as the system outperforms traditional traffic control methods. Dynamic specialization makes the system able to cope with traffic variation and to perform traffic shaping in a positive way.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130238990","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":"Vision-based track estimation and turnout detection using recursive estimation","authors":"R. Ross","doi":"10.1109/ITSC.2010.5625015","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625015","url":null,"abstract":"Track selective localization of railway vehicles is a precondition to more efficient logistics, improved security and autonomous driving. Often, satellite based navigation systems are used for localization tasks. However, in many cases, satellite navigation is not available or the sensor information is corrupted. To enhance availability and localization quality new sensors are needed. In this work we propose the usage of a monofocal video camera to improve the localization quality. Our algorithm estimates the track recursively in the camera pictures. The result is used for a turnout detection. Compared to GPS/INS curvature and turnouts can be detected in advance. Our approach uses recursive estimation to track the tracks in the pictures and to estimate the geometry of the tracks. Experimental results show the efficiency of the proposed algorithm.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134430246","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}
Ferran Diego, D. Ponsa, J. Serrat, Antonio M. López
{"title":"Vehicle geolocalization based on video synchronization","authors":"Ferran Diego, D. Ponsa, J. Serrat, Antonio M. López","doi":"10.1109/ITSC.2010.5625055","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625055","url":null,"abstract":"This paper proposes a novel method for estimating the geospatial localization of a vehicle. I uses as input a georeferenced video sequence recorded by a forward-facing camera attached to the windscreen. The core of the proposed method is an on-line video synchronization which finds out the corresponding frame in the georeferenced video sequence to the one recorded at each time by the camera on a second drive through the same track. Once found the corresponding frame in the georeferenced video sequence, we transfer its geospatial information of this frame. The key advantages of this method are: 1) the increase of the update rate and the geospatial accuracy with regard to a standard low-cost GPS and 2) the ability to localize a vehicle even when a GPS is not available or is not reliable enough, like in certain urban areas. Experimental results for an urban environments are presented, showing an average of relative accuracy of 1.5 meters.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131522481","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":"Severity detection of traffic accidents at intersections based on vehicle motion analysis and multiphase linear regression","authors":"Omer Aköz, M. Karsligil","doi":"10.1109/ITSC.2010.5624990","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5624990","url":null,"abstract":"This paper proposes a new approach to describe traffic scene including vehicle collisions and vehicle anomalies at intersections by video processing and motion statistic techniques. The research mainly targets on extracting abnormal event characteristics at intersections and learning normal traffic flow by trajectory clustering techniques. Detecting and analyzing accident events are done by observing partial vehicle trajectories and motion characteristics. The model implements video preprocessing, vehicle detection and tracking in order to extract motion characteristics through vehicle existence on road lanes. Activity patterns are determined by trajectory clustering analysis. Normal and abnormal traffic events are segregated by using log-likelihood thresholds. Abnormal traffic events and collisions are characterized using linear multiphase regression analysis technique, which apply semantic information extraction about traffic incidents.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131584632","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}
V. M. Montero, D. F. Llorca, B. Vinagre, Carlos González, M. Sotelo
{"title":"Clavileño: Evolution of an autonomous car","authors":"V. M. Montero, D. F. Llorca, B. Vinagre, Carlos González, M. Sotelo","doi":"10.1109/ITSC.2010.5624971","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5624971","url":null,"abstract":"Cars capable of driving in urban environments autonomously are today one of the most challenging topics in the intelligent transportation systems (ITS) field. This paper deals with the evolution of Clavileño -a gas propelled vehicle-in its automation process towards a fully autonomous car driving in a real word. So, the required modifications for a mass-produced car in order to equip it with automatic driving capabilities; the on-board sensor systems to analyze the environment; the autonomous guidance system as well as the cooperative maneuvers implemented and the local evaluation system are presented. The system has been tested in a controlled area with other vehicles in several experiments with good results.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131730094","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":"Optimal design of bus stops that are shared by multiple lines of buses","authors":"Lu Lu, Yuelong Su, D. Yao, Li Li, Zhiheng Li","doi":"10.1109/ITSC.2010.5625080","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625080","url":null,"abstract":"This paper studies a common traffic problem in China: a large number of bus lines share the same stop. In rush hours, a long queue of buses waiting to get into the stop, which causes a rise of bus delay and a drop of traffic capacity nearby. First, a cellular automaton model is proposed to simulate such traffic scenarios. Second, to re-designing such busy bus stops to enhance efficiency, some principles are proposed and evaluated by simulations. Finally, a specific design example is given.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131184261","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":"Arterial travel time estimation using VII probe data and point-based detection data","authors":"Meng Li, Z. Zou, F. Bu","doi":"10.1109/ITSC.2010.5625209","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625209","url":null,"abstract":"This paper presents a promising application of Vehicle-Infrastructure Integration, in which arterial travel time are estimated in real-time. In this application, information collected through the V-I communication is utilized in concert with that collected by conventional point-based detectors. Two VII probe data (VPD) models have been developed and customized for the latest VII probe message standard. The two models associate VII snapshots for single-link travel times and multiple-link travel times, respectively. In parallel, a point-based detection (PBD) model was developed with real-time inputs from inductive loop detectors and traffic signal controllers. Finally, a fusion model was developed based on the single link VPD model and the PBD model. A six-mile-long arterial has been chosen to evaluate the developed models. According to the simulation results for 1% VII penetration rate, the root mean square percent error (RMSPE) for the PBD model is 12.4%. While the single link VPD model performs better than the multiple links VPD model with RMSPE 14.7% and 23.5%, respectively. The fusion model delivered the best performance with RMSPE 5.9%. With the increase of penetration rate over 5%, the RMSPEs of the two VPD models drop drastically to 5.7% and 8.1% respectively, thus making the fusion model less helpful. In conclusion, this paper shows that the developed analytical models work pretty well and are able to produce accurate and reliable estimations along the testbed arterial.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131194353","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}