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Collision Simulation of Minibus at High Speed
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作者 LIN Fan-guo ZHAO Li 《International English Education Research》 2015年第1期99-102,共4页
Collision properties of minibus when traveling at high speed are studied. Based on the display dynamics and basic theoretical of contact collision analysis, the front crash finite element model of minibus is built by ... Collision properties of minibus when traveling at high speed are studied. Based on the display dynamics and basic theoretical of contact collision analysis, the front crash finite element model of minibus is built by Hypermesh. The model is simulated under the 50 km/h by ANSYS/Ls-Dyna solver. Finally, the deformation of the front rail, B pillar acceleration curve and the steering column intrusion are got. It is important to improve safety design for minibus. 展开更多
关键词 MINIBUS COLLISION simulation analysis steering column
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Multi-objective optimization model of autonomous minibus considering passenger arrival reliability and travel risk
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作者 Zhicheng Jin Haoyang Mao +4 位作者 Di Chen Hao Li Huizhao Tu Ying Yang Maria Attard 《Communications in Transportation Research》 2024年第1期418-437,共20页
The advancement of self-driving technologies facilitates the emergence of autonomous minibuses(ABs)in public transportation,which could provide flexible,reliable,and safe mobility services.This study develops an AB ro... The advancement of self-driving technologies facilitates the emergence of autonomous minibuses(ABs)in public transportation,which could provide flexible,reliable,and safe mobility services.This study develops an AB routing and scheduling model considering each passenger’s arrival reliability and travel risk.Firstly,to guarantee each passenger’s arrival on time,the arrival reliability(a predetermined threshold of on-time arrival probability ofα=0.9)is included in the constraints.Secondly,three objectives,including system costs,greenhouse gas(GHG)emissions,and travel risk,are optimized in the model.To assess the travel risk of ABs,an enhanced method based on kernel density estimation(KDE)is proposed.Thirdly,an advanced multi-objective adaptive large neighborhood search algorithm(MOALNS)is designed to find the Pareto optimal set.Finally,experiments are conducted in Shanghai to validate model performance.Results show that it can decrease GHG emissions(−2.12%)and risk(−9.47%),while only increasing costs by 2.02%.Furthermore,the proposed arrival reliability constraint can improve an average of 14.70%of passengers to meet their arrival reliability requirement(α=0.9). 展开更多
关键词 Autonomous minibus Passenger arrival reliability Multi-objective optimization Adaptive large neighborhood search algorithm Bus scheduling and routing
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