Optimization Model and Algorithm of Urban Road Traffic Network Design Based on Decision Tree Quantificatione

Kang, Lianguo; Cheng, Shengping; Lei, Bin

doi:10.1145/3510858.3511365

Cited by 1 publication

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References 3 publications

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“…Raju et al [5] used a simulation method in their study to quantify the impact of bottlenecks existing on the middle section of the road, and they found that the road section near the upstream side was greatly affected by the reduced capacity, while the downstream capacity did not exceed the capacity of the bottleneck section. However, these were all based on conventional two-lane and above highways or urban roads with lane widths greater than 3 m, whereas few studies have been conducted on wide-road-and-narrow-bridge sections of rural roads [6]. With the gradual increase of vehicle ownership in rural areas, it will be even more impossible to guarantee efficient and smooth traffic safety, which is a bottleneck problem for rural revitalisation.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating Factors Influencing the Capacity of the Wide-Road-and-Narrow-Bridge Section Based on Random Forest

Guo

2023

PROMTT

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In order to promote the modernisation process of rural roads and improve road capacity, the problem of bottleneck sections of rural roads needs to be solved urgently. The phenomenon of wide-road-and-narrow-bridge sections is particularly prominent in rural roads. Based on this, this paper analyses the degree of influence of roadway one-way lane width, bridge deck oneway lane width, motorised vehicles to non-motorised vehicles ratio, and road-bridge connection dimension on the capacity of the wide-road-and-narrow-bridge section based on the combination of VISSIM simulation and random forest algorithm. The result of the coefficient of determination (R2) of the random forest-based capacity prediction model shows that the random forest fits the data very well; the degree of influence on the capacity is in descending order of the bridge deck one-way lane width, motorised vehicles to non-motorised vehicles ratio, roadway one-way lane width and the road-bridge connection dimension. The model can, on the one hand, provide a reference for improving the capacity of bottleneck sections of rural roads; on the other hand, it can provide decision value for the order of measures to be taken when rural roads are rebuilt and expanded, according to the order of importance.

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Section: Literature Reviewmentioning

confidence: 99%

Estimating Factors Influencing the Capacity of the Wide-Road-and-Narrow-Bridge Section Based on Random Forest

Guo

2023

PROMTT

View full text Add to dashboard Cite

show abstract

Optimization Model and Algorithm of Urban Road Traffic Network Design Based on Decision Tree Quantificatione

Cited by 1 publication

References 3 publications

Estimating Factors Influencing the Capacity of the Wide-Road-and-Narrow-Bridge Section Based on Random Forest

Estimating Factors Influencing the Capacity of the Wide-Road-and-Narrow-Bridge Section Based on Random Forest

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