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  • 1.
    Allström, Andreas
    et al.
    Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
    Ekström, Joakim
    Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
    Gundlegård, David
    Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
    Ringdahl, Rasmus
    Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
    Rydergren, Clas
    Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
    Bayen, Alexandre M.
    Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA.
    Patire, Anthony D.
    Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA.
    Hybrid Approach for Short-Term Traffic State and Travel Time Prediction on Highways2016Ingår i: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, Vol. 2554, s. 60-68Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Traffic management and traffic information are essential in urban areas and require reliable knowledge about the current and future traffic state. Parametric and nonparametric traffic state prediction techniques have previously been developed with different advantages and shortcomings. While nonparametric prediction has shown good results for predicting the traffic state during recurrent traffic conditions, parametric traffic state prediction can be used during nonrecurring traffic conditions, such as incidents and events. Hybrid approaches have previously been proposed; these approaches combine the two prediction paradigms by using nonparametric methods for predicting boundary conditions used in a parametric method. In this paper, parametric and nonparametric traffic state prediction techniques are instead combined through assimilation in an ensemble Kalman filter. For nonparametric prediction, a neural network method is adopted; the parametric prediction is carried out with a cell transmission model with velocity as state. The results show that the hybrid approach can improve travel time prediction of journeys planned to commence 15 to 30 min into the future, with a prediction horizon of up to 50 min ahead in time to allow the journey to be completed

  • 2.
    Herland, L
    et al.
    Swedish Natl Rd & Transport Res Inst, VTI, SE-58195 Linkoping, Sweden Pitch Kunskapsutveckling AB, Comp Engn, S-58219 Linkoping, Sweden.
    Moller, B
    Swedish Natl Rd & Transport Res Inst, VTI, SE-58195 Linkoping, Sweden Pitch Kunskapsutveckling AB, Comp Engn, S-58219 Linkoping, Sweden.
    Schandersson, R
    Swedish Natl Rd & Transport Res Inst, VTI, SE-58195 Linkoping, Sweden Pitch Kunskapsutveckling AB, Comp Engn, S-58219 Linkoping, Sweden.
    Knowledge acquisition, verification, and validation in an expert system for improved traffic safety2000Ingår i: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, nr 1739, s. 83-91Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    KLOTS (knowledge-based local traffic safety support) is a Swedish expert system that provides advice on traffic safety problems and countermeasures in urban areas. The system is briefly described and the processes of knowledge collection, verification, and validation used in its development are explained. The user defines a safety problem with input forms. The result from the system is an analysis and a list of countermeasures, each with specific comments that reflect the problem. The principle of presenting a list instead of a single solution is intended to make the user more active in the process of finding an appropriate countermeasure. In practice, KLOTS may be used for providing advice, testing solutions, and making checks. It also may be used for educational purposes. The knowledge in KLOTS was obtained from experts during interviews and is structured in the form of rules for evaluating each problem specified. Development of the system has indicated that the experts must have recent practical experience of traffic safety problems. Presenting real-world cases to the experts and asking them to explain how they would solve them has proved to be the most successful interview technique. It has been possible to achieve a consensus among experts. Extensive testing, verification, and validation are carried out before new versions of KLOTS are released. Both end user validation and knowledge verification are described. Development and widespread use of the system show both the feasibility of constructing knowledge-based systems for traffic safety and a demand for such systems.

  • 3.
    Lundgren, Jan
    et al.
    Linköpings universitet, Institutionen för teknik och naturvetenskap. Linköpings universitet, Tekniska högskolan.
    Tapani, Andreas
    Linköpings universitet, Institutionen för teknik och naturvetenskap. Linköpings universitet, Tekniska högskolan.
    Evaluation of Safety Effects of Driver Assistance Systems Through Traffic Simulation2006Ingår i: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, nr 1953, s. 81-88Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Road safety is a major concern in all countries, and large effortsare constantly dedicated to create safer traffic environments. Todayincreasing attention is turned toward active safety improvingcountermeasures that improve road safety by reducing accidentrisks. Such active countermeasures include advanced driver assistancesystems (ADAS). To ensure that these new applicationsresult in real safety improvements, a priori estimations of safetyeffects are needed. This paper considers estimation of the safetyeffects of ADAS through traffic simulation. Requirements imposedon a traffic simulation model to be used for ADAS evaluation arepresented, and a car-following model to be used in simulations thatinclude ADAS-equipped vehicles is proposed. ADAS have an impacton traffic through the functionalities of ADAS and throughchanges in driver behavior for ADAS-equipped vehicles. Driverbehavior for ADAS-equipped vehicles has usually not been consideredin previous simulation studies, including those for ADASequippedvehicles. Simulation runs of rural road traffic that usedthe proposed car-following model did, however, indicate that behavioralchanges caused by the ADAS were important factors forthe safety impact. Modeling of the behavior of drivers in ADASequippedvehicles is therefore essential for reliable conclusions onthe road safety effects of ADAS.

  • 4.
    Rydergren, Clas
    et al.
    Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
    Mendoza, Ivan
    KU Leuven, L-Mob, Leuven Mobility Research Center, CIB, Leuven, Belgium;Universidad del Azuay, Cuenca, Ecuador.
    Tampère, Chris MJ
    KU Leuven, L-Mob, Leuven Mobility Research Center, CIB, Leuven, Belgium.
    Discovering Regularity in Mobility Patterns to Identify Predictable Aggregate Supply for Ridesharing2018Ingår i: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, Vol. 2672, s. 213-223Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Heterogeneous data collected by smartphone sensors offer new opportunities to study a person’s mobility behavior. The mobility patterns extracted from the travel histories found in these data enable agents residing in mobile devices to model transitions between visited locations, so that upcoming trips can be predicted after observing a set of events, and assistance can be planned in advance. When several agents cooperate, the forecasted trips made by multiple users can provide a potential supply for shared mobility systems such as dynamic ridesharing. These trips must be sufficiently regular and frequent to be reliably announced as shareable trips. This paper describes a methodology to identify a predictable aggregate supply for ridesharing via mobility patterns discovered in users’ travel histories. The methodology empirically quantifies measures like the regularity and frequency of these patterns on a dataset consisting of 967 users scattered across different geographical areas. The sample exhibits high heterogeneity with respect to these measures (hence, of predictability, regardless of the prediction method). This paper shows how frequency of trip patterns decreases, while regularity increases, when additional dimensions such as departure times are added to the analysis. It was concluded that the traveler flexibility with regard to accepting less regular trips is vital to discover a larger supply. These results provide insights to develop future applications able to take advantage of this approach, to increase ridesharing rates, allowing a critical mass to be more easily attained.

  • 5.
    Tapani, Andreas
    Linköpings universitet, Institutionen för teknik och naturvetenskap. Linköpings universitet, Tekniska högskolan.
    Versatile Model for Simulation of Rural Road Traffic2005Ingår i: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, nr 1934, s. 169-178Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In many countries the road mileage is dominated by rural highways.For that reason it is important to have access to efficienttools for evaluation of the performance of such roads. For otherroad types, e. g., freeways and urban street networks, a wealth ofmicro-simulation models is available. However, only a few modelsdedicated to rural roads have been developed. None of thesemodels handles traffic flows interrupted by intersections or roundabouts,nor are the models capable of describing the traffic flow onrural roads with a cable barrier between oncoming lanes. Theseare major drawbacks when Swedish roads, on which cable barriersand roundabouts are becoming increasingly important, aremodeled. Moreover, as new areas of application for rural roadsimulation arise, a flexible and detailed model is needed. Suchapplications include, among other things, simulation of driver assistancesystems and estimation of pollutant emissions. This paperintroduces a versatile traffic micro-simulation model for the ruralroads of today and of the future. The model system presented,the Rural Traffic Simulator (RuTSim), is capable of handling allcommon types of rural roads, including the effects of roundaboutsand intersections on the traffic on the main road. The purpose ofthe paper is to describe the simulation approach and the trafficmodeling used in RuTSim. A verification of the RuTSim model isalso included. RuTSim is found to produce outputs representativeof all common types of rural roads in Sweden.

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