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of 31
pro vyhledávání: '"Suo, Dajiang"'
Designing roadside sensing for intelligent transportation applications requires balancing cost and performance,especially when choosing between high and low-resolution sensors. The tradeoff is challenging due to sensor heterogeneity,where different s
Externí odkaz:
http://arxiv.org/abs/2410.01250
An emerging public health application of connected and automated vehicle (CAV) technologies is to reduce response times of emergency medical service (EMS) by indirectly coordinating traffic. Therefore, in this work we study the CAV-assisted corridor
Externí odkaz:
http://arxiv.org/abs/2312.10339
Autor:
Suo, Dajiang, Li, Heyi, Bhattacharyya, Rahul, Wang, Zijin, Ding, Shengxuan, Zheng, Ou, Valderas, Daniel, Melià-Seguí, Joan, Abdel-Aty, Mohamed, Sarma, Sanjay E.
The EPC GEN 2 communication protocol for Ultra-high frequency Radio Frequency Identification (RFID) has offered a promising avenue for advancing the intelligence of transportation infrastructure. With the capability of linking vehicles to RFID reader
Externí odkaz:
http://arxiv.org/abs/2311.00280
Recent advances in sensing and communication have paved the way for collective perception in traffic management, with real-time data sharing among multiple entities. While vehicle-based collective perception has gained traction, infrastructure-based
Externí odkaz:
http://arxiv.org/abs/2305.17892
Evaluations of Deep Reinforcement Learning (DRL) methods are an integral part of scientific progress of the field. Beyond designing DRL methods for general intelligence, designing task-specific methods is becoming increasingly prominent for real-worl
Externí odkaz:
http://arxiv.org/abs/2210.08607
The Braess's Paradox (BP) is the observation that adding one or more roads to the existing road network will counter-intuitively increase traffic congestion and slow down the overall traffic flow. Previously, the existence of the BP is modeled using
Externí odkaz:
http://arxiv.org/abs/2203.03726
When it comes to location-based services (LBS), user privacy protection can be in conflict with security of both users and trips. While LBS providers could adopt privacy preservation mechanisms to obfuscate customer data, the accuracy of vehicle loca
Externí odkaz:
http://arxiv.org/abs/2105.01262
Previous work on misbehavior detection and trust management for Vehicle-to-Everything (V2X) communication security is effective in identifying falsified and malicious V2X data. Each vehicle in a given region can be a witness to report on the misbehav
Externí odkaz:
http://arxiv.org/abs/2104.05070
Autor:
Suo, Dajiang
Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 79-82).
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 79-82).
Externí odkaz:
http://hdl.handle.net/1721.1/105628
Akademický článek
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