Development of a conflict-free unsignalized intersection organization method for multiple connected and autonomous vehicles

Ma, Qinglu; Shu, Zhang; Zhou, Qi

doi:10.1371/journal.pone.0249170

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…Intersections are among the most critical locations in the road transport network resulting in a risk of death and serious injury [1]. Intersection-related crashes account for approximately 20-45% of all reported crashes in both developed and developing countries, such as the United States, Norway, Japan, Singapore, and Thailand [2][3][4][5][6]. Most of them are attributable to inattention or illegal maneuvers through complicated traffic situations.…”

Section: Introductionmentioning

confidence: 99%

Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand

et al. 2021

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In the road transport network, intersections are among the most critical locations leading to a risk of death and serious injury. The traditional methods to assess the safety of intersections are based on statistical analyses that require crash data. However, such data may be under-reported and omit important crash-related factors. The conventional approaches, therefore, are not easily applied to making comparisons of intersection designs under different road classifications. This study developed a risk-based approach that incorporates video-based traffic conflict analysis to investigate vehicle conflicts under mixed traffic conditions including motorcycles and cars in Thailand. The study applied such conflict data to assess the risk of intersections in terms of time-to-collision and conflict speed. Five functional classes of intersections were investigated, including local-road/local-road, local-road/collector, collector/arterial, collector/collector, and arterial/arterial intersections. The results showed that intersection classes, characteristics, and control affect the behavior of motorists and the safety of intersections. The results found that the low-order intersections with stop/no control are high risks due to the short time-to-collision of motorcycle-related conflicts. They generate frequent conflicts with low chance of injury. The high-order intersections with signal control are high risks due to high conflicting speeds of motorcycle–car conflicts. They generate few conflicts but at a high chance of injury. The study presents the applicability of video-based traffic conflict analysis for systematically estimating the crash risk of intersections. The risk-based approach can be deemed as a supplement indicator in addition to limited crash data to evaluate the safety of intersections. However, future research is needed to explore the potential of other road infrastructure under different circumstances.

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Section: Introductionmentioning

confidence: 99%

Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand

et al. 2021

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“…On the contrary, other models focused on the total vehicle number which was permitted to move [24]. The ultimate goal of these varying models was focused on maximizing the overall throughput [31], limiting the total travel time period [32], reducing the consumption of the fuel [33], and diminishing the potential threat [26]. The main purpose of developing AIM is to compromise autonomous or connected automated vehicle (AVs/CAVs) so that the controller can be followed by all the vehicles.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving the performance of unsignalized t-intersections within CAVs mixed traffic

Alanazi¹,

Yi²,

El³

2022

J Appl Eng Science

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The rapid growth in population and the increase in the number of vehicles on the road have resulted in severe traffic congestion over the last two decades. However, intersections, where different flows intersect, are among the major cause of traffic congestion besides bottlenecks. Past decades have seen major technological advancements in road vehicles aimed at making vehicles traveling securely and comfortably. Current connected and automated vehicles (CAV) are packed with lane-keeping assistance and adaptive cruise control to ensure that vehicles do not collide and reduce traffic congestion. In this research, we developed a control algorithm that utilizes CAVs to help generate additional usable gaps for the minor road vehicles to enter the intersection without affecting the mainline traffic flow. Simulation results showed that the delay and queue length of the minor road approach is minimized without causing a significant delay to the mainline. The minor road delay was reduced by 72% when the percentage of CAVs on the major road is 70% compared to the benchmark with no CAVs on the major road.

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“…The experiments show that vehicles can smoothly pass through signalized intersections. Ma et al [29] established a speed guidance model for different traffic conditions. The results show that the proposed method improves operational efficiency and reduces average travel time.…”

Section: Introductionmentioning

confidence: 99%

Research on a Speed Guidance Strategy for Mine Vehicles in Three-Fork Roadways Based on Vehicle–Road Coordination

Zhang,

Xue,

Qin

et al. 2023

Sustainability

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Aiming at the traffic congestion problem of mining vehicles in the intersection area of three-fork roadways in coal mines, this paper proposes a speed guidance strategy based on a vehicle–road cooperative environment to adjust the running state of mining vehicles in the three-fork roadway system. The proposed speed guidance strategy can realize the safe and effective passage of underground mining vehicles to the greatest extent. Taking a three-fork roadway in a coal mine as an actual case, the operation of mining vehicles in the three-fork roadway is optimized and scheduled. Through the joint simulation of PTV VISSIM 4.3 traffic simulation software and PYTHON 3.7, the travel time, number of queuing vehicles, and delay time of mining vehicles passing through the three-fork roadway entrance under the two conditions of no speed and speed guidance in the coal mine are simulated and compared. The results show that after using the proposed speed guidance strategy for scheduling, mining vehicles can quickly pass through the three-fork roadway intersection. The travel time is reduced by 18.4%, the number of queuing vehicles is reduced by 41.5%, and the delay time is reduced by 24.1%, which effectively improves the transportation efficiency of underground mining vehicles.

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Development of a conflict-free unsignalized intersection organization method for multiple connected and autonomous vehicles

Cited by 10 publications

References 15 publications

Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand

Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand

Improving the performance of unsignalized t-intersections within CAVs mixed traffic

Research on a Speed Guidance Strategy for Mine Vehicles in Three-Fork Roadways Based on Vehicle–Road Coordination

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