Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Hadachi, Amnir"'
As we move towards a mixed-traffic scenario of Autonomous vehicles (AVs) and Human-driven vehicles (HDVs), understanding the car-following behaviour is important to improve traffic efficiency and road safety. Using a real-world trajectory dataset, th
Externí odkaz:
http://arxiv.org/abs/2411.05618
This paper presents a new simulation-based approach to address the stochastic Dynamic Traffic Assignment (DTA) problem, focusing on large congested networks and dynamic settings. The proposed methodology incorporates a random walk model inspired by t
Externí odkaz:
http://arxiv.org/abs/2311.12440
Different factors have effects on traffic crashes and crash-related injuries. These factors include segment characteristics, crash-level characteristics, occupant level characteristics, environment characteristics, and vehicle level characteristics.
Externí odkaz:
http://arxiv.org/abs/2301.01771
This paper presents a simulation-based optimization framework for city-scale real-time estimation and calibration of dynamic demand models by focusing on disaggregated microsimulation in congested networks. The calibration approach is based on sequen
Externí odkaz:
http://arxiv.org/abs/2210.17315
Call Detail Records (CDRs) coupled with the coverage area locations provide the operator with an incredible amount of information on its customers' whereabouts and movement. Due to the non-static and overlapping nature of the antenna coverage area th
Externí odkaz:
http://arxiv.org/abs/2105.00526
Determining the position and orientation of a sensor vis-a-vis its surrounding, while simultaneously mapping the environment around that sensor or simultaneous localization and mapping is quickly becoming an important advancement in embedded vision w
Externí odkaz:
http://arxiv.org/abs/2009.05427
Autor:
Adewale, Ayobami E., Hadachi, Amnir
Public transportation system commuters are often interested in getting accurate travel time information to plan their daily activities. However, this information is often difficult to predict accurately due to the irregularities of road traffic, caus
Externí odkaz:
http://arxiv.org/abs/2004.04030
Publikováno v:
In Transportation Research Part D November 2023 124
Autor:
Hadachi, Amnir, Lind, Artjom
The emerging technologies related to mobile data especially CDR data has great potential for mobility and transportation applications. However, it presents some challenges due to its spatio-temporal characteristics and sparseness. Therefore, in this
Externí odkaz:
http://arxiv.org/abs/1902.09399
Publikováno v:
In Pattern Recognition Letters June 2023 170:70-76