Academic Journal

Multi-objective optimization model of autonomous minibus considering passenger arrival reliability and travel risk

التفاصيل البيبلوغرافية
العنوان: Multi-objective optimization model of autonomous minibus considering passenger arrival reliability and travel risk
المؤلفون: Zhicheng Jin, Haoyang Mao, Di Chen, Hao Li, Huizhao Tu, Ying Yang, Maria Attard
المصدر: Communications in Transportation Research, Vol 4, Iss , Pp 100152- (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Transportation engineering
مصطلحات موضوعية: Autonomous minibus, Passenger arrival reliability, Multi-objective optimization, Adaptive large neighborhood search algorithm, Bus scheduling and routing, Transportation engineering, TA1001-1280
الوصف: 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 of α ​= ​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).
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2772-4247
Relation: http://www.sciencedirect.com/science/article/pii/S2772424724000350; https://doaj.org/toc/2772-4247
DOI: 10.1016/j.commtr.2024.100152
URL الوصول: https://doaj.org/article/823ec89d480045b98f552ccc53337643
رقم الانضمام: edsdoj.823ec89d480045b98f552ccc53337643
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:27724247
DOI:10.1016/j.commtr.2024.100152