The estimation and analysis of road traffic represent the preliminary steps towards satisfying th... more The estimation and analysis of road traffic represent the preliminary steps towards satisfying the current needs for smooth, safe, and green transportation. Therefore, effective traffic monitoring is an essential topic alongside the planning of sustainable transportation systems and the development of new traffic management concepts. In contrast to classical traffic detection solutions, this study investigates the correlation between travelers' social activities and road traffic. The s's primary goal is to investigate the presence of the relationship between social activity and road traffic, which might allow an infrastructure-independent traffic monitoring technique as well. People's general activities at Point of Interest (POI) locations (measured as occupancy parameter) are correlated with traffic data so that, finally, proper proxys can be defined for link-level average traffic speed estimation. The method is tested and evaluated using real-world traffic and POI occupancy data from Budapest (District XI.). The results of the correlation investigation justify an indirect relationship between activity at POIs and road traffic, which holds promise for future practical applicability.
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)
Highly automated driving, let it be high level advanced driver assistance system (ADAS) or autono... more Highly automated driving, let it be high level advanced driver assistance system (ADAS) or autonomous vehicle is an intensely developing area, in which trajectory planning is an important layer serving multiple needs of safety, feasibility or passenger comfort. To provide dynamically feasible trajectory planning for vehicles based on different control goals one has to deal with the trade-off between numerical resources and correctness. The first part of the paper presents a solution which uses classical optimization based approach that generates the expected results though on the expense of computational effort, which is not acceptable in real-time environment. Two hybrid approaches are introduced in the second part, where the optimization is replaced or aided with artificial neural networks (ANN), trained with the data generated off-line by the first planner. Results show that the solution highly decreases the running time of the algorithm, with almost the same level of performance. The described algorithm can be used as a base for a generic dynamically feasible yet real-time solution.
Several problems can be encountered in the design of autonomous vehicles. Their software is organ... more Several problems can be encountered in the design of autonomous vehicles. Their software is organized into three main layers: perception, planning, and actuation. The planning layer deals with the sort and long-term situation prediction, which are crucial for intelligent vehicles. Whatever method is used to make forecasts, vehicles’ dynamic environment must be processed for accurate long-term forecasting. In the present article, a method is proposed to preprocess the dynamic environment in a freeway traffic situation. The method uses the structured data of surrounding vehicles and transforms it to an occupancy grid which a Convolutional Variational Autoencoder (CVAE) processes. The grids (2048 pixels) are compressed to a 64-dimensional latent vector by the encoder and reconstructed by the decoder. The output pixel intensities are interpreted as probabilities of the corresponding field is occupied by a vehicle. This method’s benefit is to preprocess the structured data of the dynamic...
The estimation and analysis of road traffic represent the preliminary steps towards satisfying th... more The estimation and analysis of road traffic represent the preliminary steps towards satisfying the current needs for smooth, safe, and green transportation. Therefore, effective traffic monitoring is an essential topic alongside the planning of sustainable transportation systems and the development of new traffic management concepts. In contrast to classical traffic detection solutions, this study investigates the correlation between travelers' social activities and road traffic. The s's primary goal is to investigate the presence of the relationship between social activity and road traffic, which might allow an infrastructure-independent traffic monitoring technique as well. People's general activities at Point of Interest (POI) locations (measured as occupancy parameter) are correlated with traffic data so that, finally, proper proxys can be defined for link-level average traffic speed estimation. The method is tested and evaluated using real-world traffic and POI occupancy data from Budapest (District XI.). The results of the correlation investigation justify an indirect relationship between activity at POIs and road traffic, which holds promise for future practical applicability.
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)
Highly automated driving, let it be high level advanced driver assistance system (ADAS) or autono... more Highly automated driving, let it be high level advanced driver assistance system (ADAS) or autonomous vehicle is an intensely developing area, in which trajectory planning is an important layer serving multiple needs of safety, feasibility or passenger comfort. To provide dynamically feasible trajectory planning for vehicles based on different control goals one has to deal with the trade-off between numerical resources and correctness. The first part of the paper presents a solution which uses classical optimization based approach that generates the expected results though on the expense of computational effort, which is not acceptable in real-time environment. Two hybrid approaches are introduced in the second part, where the optimization is replaced or aided with artificial neural networks (ANN), trained with the data generated off-line by the first planner. Results show that the solution highly decreases the running time of the algorithm, with almost the same level of performance. The described algorithm can be used as a base for a generic dynamically feasible yet real-time solution.
Several problems can be encountered in the design of autonomous vehicles. Their software is organ... more Several problems can be encountered in the design of autonomous vehicles. Their software is organized into three main layers: perception, planning, and actuation. The planning layer deals with the sort and long-term situation prediction, which are crucial for intelligent vehicles. Whatever method is used to make forecasts, vehicles’ dynamic environment must be processed for accurate long-term forecasting. In the present article, a method is proposed to preprocess the dynamic environment in a freeway traffic situation. The method uses the structured data of surrounding vehicles and transforms it to an occupancy grid which a Convolutional Variational Autoencoder (CVAE) processes. The grids (2048 pixels) are compressed to a 64-dimensional latent vector by the encoder and reconstructed by the decoder. The output pixel intensities are interpreted as probabilities of the corresponding field is occupied by a vehicle. This method’s benefit is to preprocess the structured data of the dynamic...
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