当前位置：
X-MOL 学术
›
Sustainability
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Evaluation of Two Improved Schemes at Non-Aligned Intersections Affected by a Work Zone with an Entropy Method
Sustainability ( IF 3.3 ) Pub Date : 2020-07-08 , DOI: 10.3390/su12145494 Yang Shao , Zhongbin Luo , Huan Wu , Xueyan Han , Binghong Pan , Shangru Liu , Christian G. Claudel
Sustainability ( IF 3.3 ) Pub Date : 2020-07-08 , DOI: 10.3390/su12145494 Yang Shao , Zhongbin Luo , Huan Wu , Xueyan Han , Binghong Pan , Shangru Liu , Christian G. Claudel
The impact of work zones on traffic is a common problem encountered in traffic management. The reconstruction of roads is inevitable, and it is necessary and urgent to reduce the impact of the work zone on the operation of traffic. There are many existing research results on the influence of highway work zones, including management strategies, traffic flow control strategies, and various corresponding model theories. There are also many research results on the impacts of urban road and subway construction on traffic operation, including construction efficiency, economic impact, and travel matrix. However, there are few studies concerning the choice of work zone location, and most previous studies have assumed that the work zone choice was scientific and reasonable. Therefore, it is reasonable to choose the location of the work zone and to assess whether there is room for improvement in the road form of the work zone, but this remains a research gap. Therefore, we studied a seven-lane main road T-intersection in Xi’an, China, and investigated a work zone located at this intersection that caused a road offset, leading to the non-aligned flow of main traffic. We designed two road improvement schemes and multiple transition schemes, used VISSIM software to evaluate the traffic operation of the two schemes, and used the entropy method to choose the suitability of the two schemes under different conditions. According to the results, in the best case, the driving time, delay, and number of stops are reduced by 44%, 66%, and 92%.
更新日期：2020-07-08
京公网安备 11010802027423号