scholarly journals CyberTORCS: An Intelligent Vehicles Simulation Platform for Cooperative Driving

Author(s):  
Ming Yang ◽  
Nianfeng Wan ◽  
Bing Wang ◽  
Chunxiang Wang ◽  
Jianping Xie
Author(s):  
Ming Yang ◽  
Nianfeng Wan ◽  
Bing Wang ◽  
Chunxiang Wang ◽  
Jianping Xie

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ahmed Hussein ◽  
Pablo Marín-Plaza ◽  
Fernando García ◽  
José María Armingol

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.


2018 ◽  
Vol 67 (10) ◽  
pp. 9173-9182 ◽  
Author(s):  
Wei Tang ◽  
Ming Yang ◽  
Zheming Lv ◽  
Qiyang Qian ◽  
Ti Su ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yang Li ◽  
Dihua Sun ◽  
Min Zhao ◽  
Dong Chen ◽  
Senlin Cheng ◽  
...  

Development of highly automated and intelligent vehicles can lead to the reduction of driver workload. However, it also causes the out-of-the-loop problem to drivers, which leaves drivers handicapped in their ability to take over manual operations in emergency situations. This contribution puts forth a new switched driving strategy to avoid some of the negative consequences associated with out-of-the-loop performance by having drivers assume manual control at periodic intervals. To minimize the impact of the transitions between automated and manual driving on traffic operations, a switched cooperative driving model towards human vehicle copiloting situation is proposed by considering the vehicle dynamics and the realistic intervehicle communication in a cyberphysical view. The design method of the switching signal for the switched cooperative driving model is given based on the Lyapunov stability theory with the comprehensive consideration of platoon stability and human factors. The good agreement between simulation results and theoretical analysis illustrates the effectiveness of the proposed methods.


2009 ◽  
Vol 28 (9) ◽  
pp. 2213-2215
Author(s):  
He-meng ZHENG ◽  
Zi-chun LE ◽  
Ming-lei FU
Keyword(s):  

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