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- research-articleJanuary 2025
Impact of stochastic vehicle generation on traffic microsimulation model output
One of the most important characteristics of microsimulation is the ability to model the temporal and spatial nature of traffic demand. Every traffic microsimulation has a vehicle generation model that determines how and when the driver–vehicle units are ...
- research-articleNovember 2024
What's in the Dataset? Unboxing the APNIC per AS User Population Dataset
IMC '24: Proceedings of the 2024 ACM on Internet Measurement ConferencePages 165–182https://doi.org/10.1145/3646547.3688411The research measurement community needs methods and datasets to identify user concentrations and to accurately weight ASes against each other for analyzing measurements' coverage. However, academic researchers traditionally lack visibility into how many ...
- research-articleNovember 2019
Transmit power optimisation in cellular networks with nomadic base stations
IET Communications (CMU2), Volume 13, Issue 18Pages 3068–3074https://doi.org/10.1049/iet-com.2019.0176The increasing demand for cellular network capacity can be mitigated through the installation of nomadic eNodeB, which serve a temporal increase of traffic volume in specific area. When nomadic cells are deployed, the transmission power of neighbour base ...
- research-articleNovember 2017
City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories
SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information SystemsArticle No.: 1, Pages 1–10https://doi.org/10.1145/3139958.3139984The traffic volume on road segments is a vital property of the transportation efficiency. City-wide traffic volume information can benefit people with their everyday life, and help the government on better city planning. However, there are no existing ...
- ArticleAugust 2013
Characterizing Service Providers Traffic of Mobile Internet Services in Cellular Data Network
IHMSC '13: Proceedings of the 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 01Pages 134–139https://doi.org/10.1109/IHMSC.2013.39With the rapid rising of the number of cellular phone users, accessing the Internet via mobile device is becoming a new norm in terms of network activities and people's daily life, resulting in an ever-increasing usage of the mobile Internet. This paper ...
- ArticleAugust 2013
The Traffic Volume Count Algorithm Based on Computer Vision
IHMSC '13: Proceedings of the 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 01Pages 130–133https://doi.org/10.1109/IHMSC.2013.38This paper proposes a vehicle detection and traffic volume statistics algorithm Based on an improved single Gaussian model. This algorithm contains three major sections, which are moving target detection, shadows suppression and traffic volume count. ...
- research-articleOctober 2012
Web tool for traffic engineers: direct manipulation and visualization of vehicular traffic using Google maps
MindTrek '12: Proceeding of the 16th International Academic MindTrek ConferencePages 209–210https://doi.org/10.1145/2393132.2393173We present a lightweight web-based tool aimed for traffic engineers that allows an engineer-friendly way to interact and explore traffic volume statistics. This system has been created in participatory design with experienced traffic engineers from a ...
- ArticleOctober 2009
Estimate Method of Transport Volume of Regional Highway Network Based on Traffic Volume
ICICTA '09: Proceedings of the 2009 Second International Conference on Intelligent Computation Technology and Automation - Volume 03Pages 591–594https://doi.org/10.1109/ICICTA.2009.608There are close relationships between traffic volume and transportation volume. The resources and basic data in the traffic volume observation station can be effectively used in calculating the transportation volume of the highway network with that of ...
- ArticleMay 2009
Research on Method of Double-Layers BP Neural Network in Prediction of Crossroads' Traffic Volume
ISNN 2009: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part IIIPages 909–914https://doi.org/10.1007/978-3-642-01513-7_99Intelligent transportation systems(ITS) is effective on solving the problem of traffic jam in cities. Prdiction of crossroads' traffic volume is the key technology in ITS. BP neural network is universally used in prediction of crossroads' traffic ...
- ArticleApril 2009
Research on Method of the Subsection Learning of Double-Layers BP Neural Network in Prediction of Traffic Volume
ICMTMA '09: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03Pages 294–297https://doi.org/10.1109/ICMTMA.2009.642Prediction of traffic volume is the key technology in intelligent transportation systems．BP neural network is universally used in prediction of traffic volume. This research aimed at advancing BP neural network’s precision in prediction of traffic flow. ...
- ArticleOctober 2008
Detection of Leaps/sLumps in Traffic Volume of Internet Backbone
APNOMS '08: Proceedings of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges for Next Generation Network Operations and Service ManagementPages 409–418https://doi.org/10.1007/978-3-540-88623-5_42This paper focuses on detecting anomalies in Internet backbone traffic. To monitor traffic on a scale of several terabits per second, we need to divide the time series data of a traffic volume into many slices. Therefore, we need to monitor a lot of ...
- research-articleNovember 1994
Reducing PE/Memory Traffic in Multiprocessors by the Difference Coding of Memory Addresses
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 5, Issue 11Pages 1156–1168https://doi.org/10.1109/71.329672A method of reducing the volume of data flowing through the network in a shared memory parallel computer (multiprocessor) is described. The reduction is achieved by difference coding the memory addresses in messages sent between processing elements (PE'...
