Road traffic congestion has become an everyday phenomenon in today's cities all around th... more Road traffic congestion has become an everyday phenomenon in today's cities all around the world. The reason is clear: at peak hours, the road network operates at full capacity. In this way, growing traffic demand cannot be satisfied, not even with traffic-responsive signal plans. The external impacts of traffic congestion come with a serious socioeconomic cost: air pollution, increased travel times and fuel consumption, stress, as well as higher risk of accidents. To tackle these problems, a number of European cities have implemented reduced speed limit measures. Similarly, a general urban speed limit measure is in preparatory phase in Budapest, Hungary. In this context, a complex preliminary impact assessment is needed using a simulated environment. Two typical network parts of Budapest were analyzed with microscopic traffic simulations. The results revealed that speed limits can affect traffic differently in diverse network types indicating that thorough examination and preparation works are needed prior to the introduction of speed limit reduction.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021
The knowledge of turning rates in roundabouts is a crucial element of traffic modeling. Measuring... more The knowledge of turning rates in roundabouts is a crucial element of traffic modeling. Measuring the turning movements is often carried out by manual traffic counts (noting on paper or using handheld devices), which is a labor-intensive, therefore expensive process. The aim of this paper is the examination and comparison of different estimation methods used for turning rates in roundabouts. Traditional iteration based approach as well as estimators adopted from control theory are discussed, benchmarked, and validated on real-world traffic data. For the estimation procedures, the traffic flows (measured at each leg of the intersection) are the input. In this way, the traditional origin-destination traffic count at an intersection can be substituted by automated traffic detection at the cross-sections together with the adequately implemented estimation process (suggested in the paper). The calibration of estimation methods is of crucial importance as well. The calibration is demonstrated based on real-world traffic counts at roundabouts. The different methods have been compared using different error metrics. As a main finding of the research, it is shown that, given the right tuning, constrained Kalman Filtering outperforms the unconstrained Kalman Filtering and the traditional iterative procedure.
Road traffic congestion has become an everyday phenomenon in today's cities all around the world.... more Road traffic congestion has become an everyday phenomenon in today's cities all around the world. The reason is clear: at peak hours, the road network operates at full capacity. In this way, growing traffic demand cannot be satisfied, not even with traffic-responsive signal plans. The external impacts of traffic congestion come with a serious socioeconomic cost: air pollution, increased travel times and fuel consumption, stress, as well as higher risk of accidents. To tackle these problems, a number of European cities have implemented reduced speed limit measures. Similarly, a general urban speed limit measure is in preparatory phase in Budapest, Hungary. In this context, a complex preliminary impact assessment is needed using a simulated environment. Two typical network parts of Budapest were analyzed with microscopic traffic simulations. The results revealed that speed limits can affect traffic differently in diverse network types indicating that thorough examination and preparation works are needed prior to the introduction of speed limit reduction.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS, 2021
The knowledge of turning rates in roundabouts is a crucial element of traffic modeling. Measuring... more The knowledge of turning rates in roundabouts is a crucial element of traffic modeling. Measuring the turning movements is often carried out by manual traffic counts (noting on paper or using handheld devices), which is a labor-intensive, therefore expensive process. The aim of this paper is the examination and comparison of different estimation methods used for turning rates in roundabouts. Traditional iteration based approach as well as estimators adopted from control theory are discussed, benchmarked, and validated on real-world traffic data. For the estimation procedures, the traffic flows (measured at each leg of the intersection) are the input. In this way, the traditional origin-destination traffic count at an intersection can be substituted by automated traffic detection at the cross-sections together with the adequately implemented estimation process (suggested in the paper). The calibration of estimation methods is of crucial importance as well. The calibration is demonstrated based on real-world traffic counts at roundabouts. The different methods have been compared using different error metrics. As a main finding of the research, it is shown that, given the right tuning, constrained Kalman Filtering outperforms the unconstrained Kalman Filtering and the traditional iterative procedure.
Road traffic congestion has become an everyday phenomenon in today's cities all around th... more Road traffic congestion has become an everyday phenomenon in today's cities all around the world. The reason is clear: at peak hours, the road network operates at full capacity. In this way, growing traffic demand cannot be satisfied, not even with traffic-responsive signal plans. The external impacts of traffic congestion come with a serious socioeconomic cost: air pollution, increased travel times and fuel consumption, stress, as well as higher risk of accidents. To tackle these problems, a number of European cities have implemented reduced speed limit measures. Similarly, a general urban speed limit measure is in preparatory phase in Budapest, Hungary. In this context, a complex preliminary impact assessment is needed using a simulated environment. Two typical network parts of Budapest were analyzed with microscopic traffic simulations. The results revealed that speed limits can affect traffic differently in diverse network types indicating that thorough examination and preparation works are needed prior to the introduction of speed limit reduction.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021
The knowledge of turning rates in roundabouts is a crucial element of traffic modeling. Measuring... more The knowledge of turning rates in roundabouts is a crucial element of traffic modeling. Measuring the turning movements is often carried out by manual traffic counts (noting on paper or using handheld devices), which is a labor-intensive, therefore expensive process. The aim of this paper is the examination and comparison of different estimation methods used for turning rates in roundabouts. Traditional iteration based approach as well as estimators adopted from control theory are discussed, benchmarked, and validated on real-world traffic data. For the estimation procedures, the traffic flows (measured at each leg of the intersection) are the input. In this way, the traditional origin-destination traffic count at an intersection can be substituted by automated traffic detection at the cross-sections together with the adequately implemented estimation process (suggested in the paper). The calibration of estimation methods is of crucial importance as well. The calibration is demonstrated based on real-world traffic counts at roundabouts. The different methods have been compared using different error metrics. As a main finding of the research, it is shown that, given the right tuning, constrained Kalman Filtering outperforms the unconstrained Kalman Filtering and the traditional iterative procedure.
Road traffic congestion has become an everyday phenomenon in today's cities all around the world.... more Road traffic congestion has become an everyday phenomenon in today's cities all around the world. The reason is clear: at peak hours, the road network operates at full capacity. In this way, growing traffic demand cannot be satisfied, not even with traffic-responsive signal plans. The external impacts of traffic congestion come with a serious socioeconomic cost: air pollution, increased travel times and fuel consumption, stress, as well as higher risk of accidents. To tackle these problems, a number of European cities have implemented reduced speed limit measures. Similarly, a general urban speed limit measure is in preparatory phase in Budapest, Hungary. In this context, a complex preliminary impact assessment is needed using a simulated environment. Two typical network parts of Budapest were analyzed with microscopic traffic simulations. The results revealed that speed limits can affect traffic differently in diverse network types indicating that thorough examination and preparation works are needed prior to the introduction of speed limit reduction.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS, 2021
The knowledge of turning rates in roundabouts is a crucial element of traffic modeling. Measuring... more The knowledge of turning rates in roundabouts is a crucial element of traffic modeling. Measuring the turning movements is often carried out by manual traffic counts (noting on paper or using handheld devices), which is a labor-intensive, therefore expensive process. The aim of this paper is the examination and comparison of different estimation methods used for turning rates in roundabouts. Traditional iteration based approach as well as estimators adopted from control theory are discussed, benchmarked, and validated on real-world traffic data. For the estimation procedures, the traffic flows (measured at each leg of the intersection) are the input. In this way, the traditional origin-destination traffic count at an intersection can be substituted by automated traffic detection at the cross-sections together with the adequately implemented estimation process (suggested in the paper). The calibration of estimation methods is of crucial importance as well. The calibration is demonstrated based on real-world traffic counts at roundabouts. The different methods have been compared using different error metrics. As a main finding of the research, it is shown that, given the right tuning, constrained Kalman Filtering outperforms the unconstrained Kalman Filtering and the traditional iterative procedure.
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Papers by Mánuel Gressai