Modeling the Traffic Flow of the Urban Signalized Intersection with a Straddling Work Zone

Zhu, Lei; Jia, Bingmei; Yang, Da; Wu, Yuezhu; Yang, Guang; Gu, Jingang; Qiu, Hongtong; Guo, Qian

doi:10.1155/2020/1496756

Cited by 2 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, as the speed of the mobile construction zone increased, the average traffic risk decreased. The scholar proposed a microscopic model of traffic flow in a straddle work zone to capture the characteristics of no lane division and irregular boundaries that intersect with the straddle work zone, reflecting the effect of traffic flow from two opposite directions of the intersection road [11]. Finally, the entropy method was used for evaluation, and the results showed that the distance from the lower edge of the work zone to the centerline and the proportion of large vehicles occupying the work zone exerted the most significant influence on the signalized intersection.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Over the years, in an effort to alleviate the effects of construction work zones on traffic efficiency, researchers and policymakers in the field of transportation have been exploring various strategies. Some scholars have evaluated the impact of road construction through dynamic traffic allocation and compared alternative construction schedule plans in order to choose the optimal plan to reduce travel delays and improve road capacity [10,11]. Several studies have analyzed the impact of construction work zone length on road capacity [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Different Work Zone Road-Occupation Schemes for Monorail Construction

Wang,

Pan,

Xie

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Due to the increasing demand for transportation, road renovation is inevitable, and the emergence of work zones has become the most common problem in traffic control. There are many research results on the impact of work zones on traffic operation, but most of them focus on various capacity theoretical models or traffic flow control strategies and are mostly concentrated in highway work areas and urban road subway construction work areas. The location of these work zones is often unable to be changed and is mostly considered reasonable. At present, there is still a gap in selecting and evaluating the location of the work zone. Therefore, this article studied a bidirectional six-lane intersection in Xi’an and investigated the situation of traffic flow distortion caused by the setting of work zones at the intersection. Two different positions and forms of work zones were designed for evaluation and analysis. Firstly, we used VISSIM (2022 student) to simulate the original and proposed work zone road-occupation schemes and analyzed six indicators. Finally, in order to determine the optimal work zone locations under different traffic situations, we applied the entropy weight method (EWM) to assign weights to multiple indicators, thereby achieving a comprehensive assessment of various schemes. The results showed that the highest improvement level among the six indicators was 50.2%, and different schemes adapted to different traffic situations. However, occupying two lanes of the median opposite the exit lane performed better under high traffic volume. Occupying the median and lanes on both sides of the median is suitable for low traffic volume. Occupying two lanes of the entrance lane and using the opposite lane as the left-turn entrance lane is suitable for situations with high traffic volume in the opposite lane.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Different Work Zone Road-Occupation Schemes for Monorail Construction

Wang,

Pan,

Xie

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

A Robust Adaptive Traffic Signal Control Algorithm Using Q-Learning under Mixed Traffic Flow

2022

View full text Add to dashboard Cite

The operational and safety performance of intersections is the key to ensuring the efficient operation of urban traffic. With the development of automated driving technologies, the ability of adaptive traffic signal control has been improved according to data detected by connected and automated vehicles (CAVs). In this paper, an adaptive traffic signal control was proposed to optimize the operational and safety performance of the intersection. The proposed algorithm based on Q-learning considers the data detected by loop detectors and CAVs. Furthermore, a comprehensive analysis was conducted to verify the performance of the proposed algorithm. The results show that the average delay and conflict rate have been significantly optimized compared with fixed timing and traffic actuated control. In addition, the performance of the proposed algorithm is good in the test of the irregular intersection. The algorithm provides a new idea for the intelligent management of isolated intersections under the condition of mixed traffic flow. It provides a research basis for the collaborative control of multiple intersections.

show abstract

Modeling the Traffic Flow of the Urban Signalized Intersection with a Straddling Work Zone

Cited by 2 publications

References 25 publications

Evaluation of Different Work Zone Road-Occupation Schemes for Monorail Construction

Evaluation of Different Work Zone Road-Occupation Schemes for Monorail Construction

A Robust Adaptive Traffic Signal Control Algorithm Using Q-Learning under Mixed Traffic Flow

Contact Info

Product

Resources

About