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48 results on '"Zhou, Binbin"'

10. ESCORT: Fine-Grained Urban Crime Risk Inference Leveraging Heterogeneous Open Data.

Author

Zhou, Binbin, Chen, Longbiao, Zhou, Fangxun, Li, Shijian, Zhao, Sha, Das, Sajal K., and Pan, Gang

Abstract

Crime has been a complex social problem worldwide, impacting numerous individuals in both property and psychology, and affecting public safety as well. To prevent and avoid crime is of great importance for urban authorities and citizens. Crime prediction using various urban sensing data provides a promising paradigm to cope with this challenging problem. However, previous studies on crime prediction mainly focus on coarse-grained prediction at the region level, which fail in fine-grained road-level crime inference due to data sparsity problems. This article proposes a road-level framework for fine-grained crime risk inference leveraging heterogeneous open data. We first extract a set of features from relevant external datasets and historical crime records, i.e., temporal, spatial, and recurrence crime features. We then establish a spatio-temporal crime pattern using spatio-temporal features, and further infer road-level crime risk incorporating with recurrence crime features. The framework not only considers a useful spatio-temporal pattern but also considers a unique crime near-repeat phenomenon, which helps address the data sparsity. We further present an application crime risk-aware route recommendation to demonstrate the effectiveness of our framework. This application cannot be solved well with coarse-grained (e.g., region-level) crime risk results since it is inconvenient for people to travel while avoiding large regions with potential crime risks. Experiments with the real-world datasets from New York City show that our framework accurately infers road-level crime risk and outperforms other baseline methods. [ABSTRACT FROM AUTHOR]

Published
2021
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11. iTV: Inferring Traffic Violation-Prone Locations With Vehicle Trajectories and Road Environment Data.

Author

Jiang, Zhihan, Chen, Longbiao, Zhou, Binbin, Huang, Jinchun, Xie, Tianqi, Fan, Xiaoliang, and Wang, Cheng

Abstract

Traffic violations like illegal parking, illegal turning, and speeding have become one of the greatest challenges in urban transportation systems, bringing potential risks of traffic congestions, vehicle accidents, and parking difficulties. To maximize the utility and effectiveness of the traffic enforcement strategies aiming at reducing traffic violations, it is essential for urban authorities to infer the traffic violation-prone locations in cities. Therefore, we propose a low-cost, comprehensive, and dynamic framework to infer traffic violation-prone locations in cities based on the large-scale vehicle trajectory data and road environment data. First, we normalize the trajectory data by map matching algorithms and extract key driving behaviors, i.e., turning behaviors, parking behaviors, and speeds of vehicles. Second, we restore spatiotemporal contexts of driving behaviors to get corresponding traffic restrictions such as no-parking, no-turning, and speed restrictions. After matching the traffic restrictions with driving behaviors, we get the traffic violation distribution. Finally, we extract the spatiotemporal patterns of traffic violations and build a visualization system to showcase the inferred traffic violation-prone locations. To evaluate the effectiveness of the proposed method, we conduct extensive studies on large-scale, real-world vehicle GPS trajectories collected from two Chinese cities, respectively. Evaluation results confirm that the proposed framework infers traffic violation-prone locations effectively and efficiently, providing comprehensive decision supports for traffic enforcement strategies. [ABSTRACT FROM AUTHOR]

Published
2021
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46. Spectral compression of intense femtosecond pulses by self phase modulation in silica glass.

Author

Iwaszczuk, Krzysztof, Zhou, Binbin, Bache, Morten, and Jepsen, Peter Uhd

Abstract

We experimentally demonstrate spectral compression of mJ fs pulses by self phase modulation in silica glass. Spectral narrowing by factor 2.4 of near-transform-limited pulses is shown, with good agreement between experiment and numerical simulation. [ABSTRACT FROM PUBLISHER]

Published
2012

48. Critical boundary of cascaded quadratic soliton compression in PPLN.

Author

Guo, Hairun, Zeng, Xianglong, Zhou, Binbin, and Bache, Morten

Abstract

Cascaded quadratic soliton compression in PPLN is investigated and a general critical soliton number is found as the compression boundary. An optimal-parameter diagram for compression at 1550 nm is presented. [ABSTRACT FROM PUBLISHER]

Published
2012

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