A panel data-based discrete-continuous modelling framework to analyze longitudinal driver behavior in homogeneous and heterogeneous disordered traffic conditions

Nirmale, Sangram Krishna; Pinjari, Abdul Rawoof; Sharma, Anshuman

doi:10.1080/19427867.2022.2132058

Cited by 2 publications

(1 citation statement)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It seeps into every corner of modern life, sparking innovations that reshape how human work, live, and move. One such innovation that has garnered significant attention and holds the potential to revolutionize transportation and logistics is the Multi-Vehicle System (MVS) [1][2][3][4]. MVS represents a paradigm shift, a convergence of cutting-edge technologies and strategies that are redefining the way human think about mobility, automation, and connectivity.…”

Section: Introductionmentioning

confidence: 99%

Manipulation of the Multi-Vehicle System for the Industrial Applications

Vincent

2023

EAI Endorsed Trans Context Aware Syst App

View full text Add to dashboard Cite

This approach should indicate some challenges in routing and scheduling for the multi-vehicle system. The proposed method delivers a novel method to generate the free-collision trajectory as well as optimal route from starting point to destination. The estimated time at one node and the classification of load level support vehicle to decide which proper route is and stable movement is reached. From these results, it could be observed that the proposed approach is feasible and effective for many applications. The proposed method for routing and scheduling might be useful in the multi-vehicle system. In the large scale system, some intelligent schemes should be considered to integrate.

show abstract

Section: Introductionmentioning

confidence: 99%