Cooperative Sensing for road Safety and enhanced mobility –Implementation, Integration and Field trial results

2018年10月25日 13:46  点击:[]

通知日期(月) 10 通知日期(日) 26

Title: Cooperative Sensing for road Safety and enhanced mobility –Implementation, Integration and Field trial results

报告时间:201810269:30-11:00

报告地点:综合楼五楼第一会议室

报告人:Dr. Muhammad Alam, Senior Member IEEE

邀请人:王雷教授、副院长

TitleTitle: Cooperative Sensing for road Safety and enhanced mobility –Implementation, Integration and Field trial results

 Abstract

The existing architecture of Information and communications technology (ICT) supporting Intelligent Transportation Systems (ITSs) exhibits a hierarchical nature where the data is flowing from bottom (Vehicles, sensors, road side units, etc.) to top (centralized management system) and, once processed, back to the bottom layer (Variable message signs, emergency services, etc.).  However, this centralized approach limits the inclusion of new devices and exhibits latency and security issues. These issues are tackled by Intelligent Cooperative Sensing for Improved traffic efficiency (ICSI), a European Union funded project which proposes an architecture where the intelligence for sensing and actuation is distributed and exhibits high reliability by incorporating local replication, high scalability by easily accommodating new components and bounded latency by significant shorter paths. In this talk, the proposed architecture, the developed road side unit (RSU), on board unit (OBU) and software modules appropriate for the cooperative operations and achieving the goals envisioned towards smart mobility and safety will be presented. The talk will also cover the developed prototypes and its integration into an end-to-end demonstrator that has been used in on-filed experiments for the use cases of smart urban traffic management accident recovery on the highways. The generated trial results validate the effectiveness of the proposed strategies, together with the operations of the distributed architecture and provide a set of advanced tools for control, monitoring, simulation and predictions, that achieves a safer, sustainable and uncongested road.

报告人简介

Muhammad Alam: Dr. M. Alam holds a Ph.D. degree in computer science from University of Aveiro, Portugal (2010-14) and has a MS degree in Computer Science from International Islamic university Islamabad, Pakistan.  In 2009, he joined the Instituto de Telecomunicações - Aveiro (Portugal) as researcher and completed his Ph.D. from University of Aveiro with a specialization in Inter Layer and Cooperative Design Strategies for Green Mobile Networks. He has participated in several European Union FP7 projects such as Hurricane, C2POWER, ICSI, PEACE and Portuguese government funded projects such SmartVision, SMART GREEN HOMES. He has been working as senior researcher at Instituto de Telecomunicações for 5 years and participating in European Union and Portuguese government funded projects and currently working as Assistant professor in Xi'an Jiaotong-Liverpool University (XJTLU), Suzhou China. His research interests include IoT, Real-time wireless communication, Vehicular networks, Context-aware systems and Radio resource management in next generation wireless networks. He is the editor/author of 5 books and more than 100 journal and conference publications as well as book chapters. He is also the TPC member and reviewer for a number of reputed conferences, journals, and magazines. He is IEEE and IEEE IES senior member. He served as general co-chair of future 5V conference and also served as session chairs in a number of reputed conferences such as IEEE IECON 2016, IEEE WFCS 2016, IEEE ITSC 2015. He also serviced as guest editor in several journals such as IEEE Transactions intelligent transportation systems. He has served as chair of more than 10 international workshops in reputed conferences such as IEEE VTC and IEEE GlobCom

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