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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 24, 2020 - Issue 4
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Original Articles

Pore acceptance predictions of motorised Two-Wheelers during filtering at urban Mid-Block sections

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Pages 352-364 | Received 01 Apr 2019, Accepted 24 Feb 2020, Published online: 03 Mar 2020

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Read on this site (4)

Harish Kumar Saini, Shivam Singh Chouhan, Ankit Kathuria & Ashoke Kumar Sarkar. (2023) Evaluating overtaking and filtering maneuver of motorcyclists and car drivers using advanced trajectory data analysis. International Journal of Injury Control and Safety Promotion 30:4, pages 530-546.
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Bhargav Naidu Matcha, Sivakumar Sivanesan, K. C. Ng & Se Yong Eh Noum. (2022) Modelling integrated movements of motorcycles at urban merge sections under mixed traffic conditions. Transportmetrica B: Transport Dynamics 10:1, pages 441-467.
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Hari Krishna Gaddam & K. Ramachandra Rao. (2020) A two-sided lateral gap continuum model and its numerical simulation for non-lane based heterogeneous traffic environment. Journal of Intelligent Transportation Systems 24:6, pages 635-653.
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Articles from other publishers (4)

Jaikishan Damani & Perumal Vedagiri. (2023) Predicting Choice of Filtering of Motorized Two Wheelers in Urban Mixed Traffic. Transportation Research Record: Journal of the Transportation Research Board 2677:9, pages 58-68.
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Jaikishan Damani & Perumal Vedagiri. (2023) Multivariate analysis of following and filtering manoeuvres of Motorized Two Wheelers in mixed traffic conditions. IATSS Research 47:2, pages 121-133.
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Hiral Patel, Ninad Gore, Said Easa & Shriniwas Arkatkar. (2023) Novel Traffic Conflict-Based Framework for Real-Time Traffic Safety Evaluation Under Heterogeneous and Weak Lane-Discipline Traffic. Transportation Research Record: Journal of the Transportation Research Board, pages 036119812311729.
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Ritvik Chauhan, Pallav Kumar, Shriniwas Arkatkar, Ashish Dhamaniya & Prasanta K. Sahu. (2021) Examining deterministic and probabilistic capacity estimation methods under mixed traffic using empirical data. Case Studies on Transport Policy 9:4, pages 1888-1899.
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