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Cross-regional order allocation strategy for ride-hailing under tight transport capacity
Yu XIA, Junwu ZHU, Yi JIANG, Xin GAO, Maosheng SUN
Journal of Computer Applications    2022, 42 (6): 1776-1781.   DOI: 10.11772/j.issn.1001-9081.2021091627
Abstract358)   HTML5)    PDF (1163KB)(63)       Save

In the ride-hailing platform, matching is a core function,and the platform needs to increase the number of matched orders as much as possible. However, the demand distribution of ride-hailing is usually extremely uneven, and the starting points or end points of orders show the characteristic of high concentration in some time periods. Therefore, an incentive mechanism with early warning was proposed to encourage drivers to take orders across regions, thus achieving the purpose of rebalancing the platform cross-regional transport capacity. The order information was analyzed and processed in this strategy, and an early warning mechanism of transport capacity in adjacent regions was established. To reduce the number of unmatched orders in the region during the period of tight transport capacity and improve the platform utility and passenger satisfaction, drivers in adjacent regions were encouraged to accept cross-regional orders when regional transport capacity was tight. Experimental results on instances show that the proposed rebalancing mechanism improves the average utility by 15% and 38% compared with Greedy and Surge mechanisms, indicating that the cross-regional transport capacity rebalancing mechanism can improve the platform revenue and driver utility, rebalance the supply-demand relationship between regions to a certain extent, and provide a reference for the ride-hailing platform to balance the supply-demand relationship macroscopically.

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Election-based supply chain: a supply chain autonomy framework based on blockchain
Yuntao XU, Junwu ZHU, Binwen SUN, Maosheng SUN, Sihai CHEN
Journal of Computer Applications    2022, 42 (6): 1770-1775.   DOI: 10.11772/j.issn.1001-9081.2021091761
Abstract361)   HTML15)    PDF (1819KB)(112)       Save

The combination of blockchain and supply chain is a popular research topic in recent years. The advantages of blockchain such as data traceability, tamper proof and distributed storage can guarantee good data security for supply chain, while the autonomy property of blockchain also provides possibility of supply chain autonomy. The autonomy of blockchain mainly depends on consensus mechanism, but the existing consensus mechanism is difficult to realize good support for supply chain autonomy. To solve the above problems, an election-based consensus mechanism based on Delegated Proof of Stake (DPoS) was proposed, and on this basis, a self-made framework of supply chain based on blockchain was constructed, namely Election-based Supply Chain (ESC). In ESC, the credit score of a node was first calculated according to the smart contract activities participated in by this node. Then, from the perspective of game theory, the influences of node active degree and credit score on stake under ESC were analyzed. Finally, theorem proving and simulation experiments verify that the proposed mechanism has a good incentive effect on nodes and can effectively inhibit the maximum transaction cost paid by rational nodes,and the inhibition increasing with the increase of the number of delegates.

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