M
Manish Chaturvedi
Researcher at Institute of Infrastructure Technology Research and Management
Publications - 29
Citations - 202
Manish Chaturvedi is an academic researcher from Institute of Infrastructure Technology Research and Management. The author has contributed to research in topics: Computer science & Intelligent transportation system. The author has an hindex of 5, co-authored 17 publications receiving 87 citations. Previous affiliations of Manish Chaturvedi include Dhirubhai Ambani Institute of Information and Communication Technology & Pandit Deendayal Petroleum University.
Papers
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Journal ArticleDOI
Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges
Sahil Khatri,Hrishikesh Vachhani,Shalin Shah,Jitendra Bhatia,Manish Chaturvedi,Sudeep Tanwar,Neeraj Kumar +6 more
TL;DR: The safety, communication, and traffic-related issues in VANET systems and their implementation in-feasibility are highlighted and how machine learning algorithms can overcome these issues are explored.
Journal ArticleDOI
Multi-Modal Design of an Intelligent Transportation System
TL;DR: In this article, a novel intelligent transportation system (ITS) using the cellular network, GPS probes, and limited ITS infrastructure for edge-level speed estimation under heterogeneous traffic condition is proposed.
Multi modal design of an Intelligent Transportation System
TL;DR: This paper proposes a novel intelligent transportation system (ITS) using the cellular network, GPS probes, and limited ITS infrastructure for edge-level speed estimation under heterogeneous traffic condition.
Journal ArticleDOI
Machine learning‐based traffic scheduling techniques for intelligent transportation system: Opportunities and challenges
Mahima Nama,Ankita Nath,Nancy Bechra,Jitendra Bhatia,Sudeep Tanwar,Manish Chaturvedi,Balqies Sadoun +6 more
TL;DR: A comprehensive review of the machine learning‐based state‐of‐the‐art technologies that can be used to form a three‐tier solution taxonomy and the use of cases of traffic police scheduling that elaborates this review's applicability in various domains.
Proceedings ArticleDOI
Real time vehicular traffic estimation using cellular infrastructure
TL;DR: A map matching algorithm is developed which can work with large location errors and it is shown using simulations that it is possible to generate useful traffic information such as origin-destination of a trip, route and duration of a trips with in reasonable error bounds even with location error of 250-500 meters.