Vemo: Enabling transparent vehicular mobility modeling at individual levels with full penetration
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
[PDF][PDF] VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Y Yang, X Xie, Z Fang, F Zhang, Y Wang, D Zhang - 2019 - people.cs.rutgers.edu
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
[PDF][PDF] VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Y Yang, X Xie, Z Fang, F Zhang, Y Wang, D Zhang - 2019 - cs.rutgers.edu
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
[PDF][PDF] VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Y Yang, X Xie, Z Fang, F Zhang, Y Wang… - IEEE Transactions on …, 2022 - par.nsf.gov
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
VeMo: Enable Transparent Vehicular Mobility Modeling at Individual Levels With Full Penetration
Y Yang, X Xie, Z Fang, F Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
VeMo: Enable Transparent Vehicular Mobility Modeling at Individual Levels With Full Penetration
Y Yang, X Xie, Z Fang, F Zhang… - IEEE Transactions …, 2022 - researchwithrutgers.com
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Y Yang, X Xie, Z Fang, F Zhang, Y Wang… - arXiv e …, 2018 - ui.adsabs.harvard.edu
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
VeMo: Enable Transparent Vehicular Mobility Modeling at Individual Levels With Full Penetration
Y Yang, X Xie, Z Fang, F Zhang, Y Wang… - IEEE Transactions on …, 2022 - computer.org
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Y Yang, X Xie, Z Fang, F Zhang, Y Wang… - arXiv preprint arXiv …, 2018 - arxiv.org
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
[PDF][PDF] VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Y Yang, X Xie, Z Fang, F Zhang, Y Wang… - MobiCom 2019 The 25th …, 2019 - par.nsf.gov
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …