Details

Autor(en) / Beteiligte

• Sun, Yongdong
• Zhang, Jin
• Tang, Qiuyu
• Yan, Yan

Titel

Research on Benefit-Risk of Vehicle-Cargo Matching Platform Based on Matching Degree

Ist Teil von

• 2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE), 2020, p.580-584

Ort / Verlag

IEEE

Erscheinungsjahr

2020

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• This paper based on matching degree of the vehicle-cargo matching platform with profit and risk, examines the impact of different factors on the revenue and risk cost of the vehicle-cargo matching platform through a multi-objective optimal model to maximize the matching degree and benefit, minimizing the risk cost, through the improved the NSGA- II algorithm to solve bilevel multi-objective optimization problem, and through the sensitivity analysis to obtain the results. The results show that: 1) the relationship between the total revenue and the total risk cost of the platform increases linearly; 2) the preference of vehicle-source and cargo-source also affects the matching of supply demand of both sides; 3) the total revenue and total cost of the platform increase with the increase of consultation fee, but the increase rate gradually decreases; 4) ignoring the impact of blockchain, vehicle-source enterprises need to pay more guarantee costs, and the platform's income and risk are better than the condition with the impact of blockchain.