Real-time path planning based on hybrid-VANET-enhanced transportation system

M Wang, H Shan, R Lu, R Zhang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path-planning algorithm to achieve a globally optimal …

Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

M Wang, H Shan, R Lu, R Zhang, X Shen… - IEEE Transactions on …, 2015 - trid.trb.org
Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path-planning algorithm to achieve a globally optimal …

[PDF][PDF] Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

M Wang, H Shan, R Lu, R Zhang, XS Shen, F Bai - planning - Citeseer
Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path planning algorithm to achieve a globally optimal …

[PDF][PDF] Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

M Wang, H Shan, R Lu, R Zhang, XS Shen… - IEEE TRANSACTIONS …, 2015 - uwaterloo.ca
Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path-planning algorithm to achieve a globally optimal …

Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

M Wang, H Shan, R Lu, R Zhang, X Shen… - IEEE Transactions on …, 2015 - infona.pl
Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path-planning algorithm to achieve a globally optimal …

[PDF][PDF] Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

M Wang, H Shan, R Lu, R Zhang… - IEEE TRANSACTIONS …, 2015 - scholar.archive.org
Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path-planning algorithm to achieve a globally optimal …