Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data-Reference-Cited by-同舟云学术

Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data

Published:2022-03-13 Issue:4 Volume:15 Page:296-307
ISSN:1942-7867
Container-title:Transportation Letters
language:en
Short-container-title:Transportation Letters

Author:

Mishra Sumit¹^ORCID,Singh Vishal²,Gupta Ankit³⁴^ORCID,Bhattacharya Devanjan⁵⁶^ORCID,Mudgal Abhisek⁴^ORCID

Affiliation:

1. The Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

2. Member of Technical Staff, VMware Inc, Palo Alto, California, USA

3. Department of Civil Engineering, Associate Professor and MoRTH Chair Professor, Indian Institute of Technology (Banaras Hindu University), Varanasi, India

4. Department of Civil Engineering, Indian Institute of Technology (Banaras Hindu University, Indian Institute of Technology (Banaras Hindu University), Varanasi, India

5. Marie Skłodowska-Curie Actions TRAIN@ED Fellow, School of Law & School of Informatics, University of Edinburgh, Edinburgh, UK

6. NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisboa, Portugal

Publisher

Informa UK Limited

Subject

Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19427867.2022.2050493

Reference62 articles.

1. Amin-Naseri, M. 2018. Adopting and Incorporating Crowdsourced Traffic Data in Advanced Transportation Management Systems, 16541. Iowa State University: Graduate Theses and Dissertations.

2. Using Real-Time Road Traffic Data to Evaluate Congestion

3. Bing Maps Distance Matrix API. Retrieved 11 November 2018, from https://www.microsoft.com/en-us/maps/distance-matrix

4. Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome

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