IMFAPC-based cooperative driving method for connected and automated vehicles in communication-constrained unsignalized intersections

2021 ◽  
Author(s):  
Jie Yu ◽  
Fachao Jiang ◽  
Yugong Luo ◽  
Weiwei Kong
Keyword(s):  
Automated Vehicles ◽  
Cooperative Driving ◽  
Unsignalized Intersections

The Grand Cooperative Driving Challenge 2016: boosting the introduction of cooperative automated vehicles

2016 ◽  
Vol 23 (4) ◽  
pp. 146-152 ◽  
Author(s):  
Cristofer Englund ◽  
Lei Chen ◽  
Jeroen Ploeg ◽  
Elham Semsar-Kazerooni ◽  
Alexey Voronov ◽  
...  
Keyword(s):  
Automated Vehicles ◽  
Cooperative Driving

scholarly journals Hybrid Optimization-Based Approach for Multiple Intelligent Vehicles Requests Allocation

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ahmed Hussein ◽  
Pablo Marín-Plaza ◽  
Fernando García ◽  
José María Armingol
Keyword(s):  
Task Allocation ◽  
Feasible Solution ◽  
Intelligent Vehicles ◽  
Hybrid Optimization ◽  
Automated Vehicles ◽  
Cooperative Driving ◽  
And Performance ◽  
Self Driving Cars ◽  
Test Scenarios ◽  
Significant Attention

Self-driving cars are attracting significant attention during the last few years, which makes the technology advances jump fast and reach a point of having a number of automated vehicles on the roads. Therefore, the necessity of cooperative driving for these automated vehicles is exponentially increasing. One of the main issues in the cooperative driving world is the Multirobot Task Allocation (MRTA) problem. This paper addresses the MRTA problem, specifically for the problem of vehicles and requests allocation. The objective is to introduce a hybrid optimization-based approach to solve the problem of multiple intelligent vehicles requests allocation as an instance of MRTA problem, to find not only a feasible solution, but also an optimized one as per the objective function. Several test scenarios were implemented in order to evaluate the efficiency of the proposed approach. These scenarios are based on well-known benchmarks; thus a comparative study is conducted between the obtained results and the suboptimal results. The analysis of the experimental results shows that the proposed approach was successful in handling various scenarios, especially with the increasing number of vehicles and requests, which displays the proposed approach efficiency and performance.

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