Summary The ant colony labor division model can be used to solve the dynamic and variable traffic signal timing problem because of its adaptive and self‐adjusting characteristics. Based on the basic model, this paper proposes a new extended ant colony labor division model for traffic signal timing. This model is combined with the vehicle characteristics to modify the calculation method of environmental stimulus values. Using the vehicle delay in the unit period, the original fixed response threshold is modified to the dynamic response threshold, and the state transition equation is reconstructed. Based on the mixed traffic flow model of two‐phase single‐point intersection cellular automata, through comparative experiments and discussion and analysis, it is found that the extended ant colony labor division model can effectively improve road traffic capacity according to road conditions and reasonable traffic signal timing.
The Traveling Salesman Problems (TSP) has been a very important topic of study for operations researchers and mathematicians for decades. Computer hardware and software advances in recent years have provided multiple alternative approaches to this classic combinatorial challenge. The objective of this paper is to present an approach to the Traveling Salesman Problems using Microsoft Excel Solver and Premium Solver Platform. The paper illustrates a solution approach which efficiently solves small-size Traveling Salesman Problems.
In order to solve the problems of improper order allocation and the lack of a carbon emission constraint system in the road freight transportation industry, this paper proposed an order allocation mechanism of network freight transportation with carbon tax constraints and established an order allocation optimization model with carbon tax constraints. Based on the basic characteristics of the problem, this paper redesigns the ant colony labor division expansion model, and designs a corresponding algorithm to solve the problem. By improving the update rules of the stimulus value and the threshold value, the matching difference between the order and the driver of the network freight platform is enlarged, and the matching relation-ship is dynamically adjusted, the order allocation scheme is optimized, and a more appropriate carbon tax rate range in this industry is explored. Furthermore, the problem is solved by a 0-1 integer programming algorithm, which is compared with the algorithm designed in this paper. Through multiple numerical simulation experiments, the effectiveness and feasibility of the algorithm are verified. The experimental results show that the order allocation arrangement of the online freight platform with carbon tax constraints is more economical and environmentally friendly.
<span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">Logistics Network Infrastructure (LNI) is an important area of Logistics Infrastructure </span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">C</span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">apability</span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US"> (LIC)</span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">. The connotation of </span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">LNI</span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US"> is analyzed in this paper. Compared with the extensive research on </span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">LNI</span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US"> in developed world, empirical work is still rare in China. In this paper the theory of </span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">LNI</span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-bidi-font-size: 9.0pt; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US"> is firstly overviewed. Then a new evalua...
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