Truck Scheduling Problem Considering Carbon Emissions under Truck Appointment System

Abstract

Aiming at the truck scheduling problem between the outer yard and multi-terminals, the appointment optimization model of truck is established. In this model, the queue time and the operation time of truck during the appointment period of different terminals are different. Under the restriction of given appointment quotas of each appointment period, determine the arrival amount of trucks in each appointment period. The goal is to reduce carbon emissions and total costs, improve the efficiency of truck scheduling. To solve this model, hybrid genetic algorithm with variable neighborhood search was designed. Firstly, generate chromosomes, and the front part of the chromosome represents the demand for 40 ft containers and the back part represents the demand for 20 ft containers. Then, the route is generated according to the time constraint and appointment quotas of each appointment period. Finally, the neighborhood search strategy is adopted to improve the solution quality. The validity of the model and algorithm were verified by an example. A low-carbon scheduling scheme was obtained under truck appointment system. The results show that the scheduling scheme under truck appointment system uses fewer trucks, improves the efficiency of delivery, reduces the total costs, and it takes into account the requirements of low carbon.

A survey on computational intelligence approaches for intelligent marine terminal operations

“…The major problems in the landside operations include: straddle carriers (SCs) operation optimization [36], truck appointment optimization to avoid truck congestion and reduce truck turnaround time [37], double cycling (i.e. loading and unloading simultaneously to enhance productivity) scheduling [38], route and schedule planning of rail‐mounted gantry cranes for efficient exchange of containers between the terminal and road [39], scheduling appointments of container trucks [40], and internal transport vehicle selection to avoid delays and enhance terminal performance [41].…”

A refined measurement method of highway truck carbon emissions in the context of carbon peaking and carbon neutrality --Take G30 Yandun Toll Station as an Example

“…Wine [23] found that carbon emissions of automobiles changed with temperature under the same driving conditions. Fan, H et al [24] reduced carbon emissions and total transportation costs by building an optimization model for truck scheduling. Spatial and temporal measurement studies of highway carbon emissions in different countries and regions still exhibit differences, which can be attributed to variations in transportation structure, vehicle emission standards, and climate.…”

The Inland Container Transportation Problem with Separation Mode Considering Carbon Dioxide Emissions

“…Hoen et al [44] proposed an inventory model with carbon emission measurement methodology and considered the impact of different emission regulations. Fan et al [45] proposed a hybrid heuristic approach to assign the carbon emissions under Truck Appointment System (TAS); a realistic-sized instance of China was reported. The experimental results showed that the TAS could reduce the carbon pollution ratio by 0.22%.…”

“…In addition, we assume that the tractor speeds with different vehicle states are all 40 km/h, and use Euclidean distance to conduct the transportation routes. The loading/unloading of one container is set one of the three options: 0.5 h, 1 h, 1.5 h. Referring to the calculation of fuel costs and carbon emissions costs in the literature [45], we set ρ 1 = 300, ρ 2 = 6.516, ρ 3 = 56.295.…”