Design of Real-Time Dynamic Reversible Lane in Intelligent Cooperative Vehicle Infrastructure System

Mao, Lina; Li, Wenquan; Hu, Pengsen; Zhou, Guiliang; Zhang, Huiting; Dai, Jin

doi:10.1155/2020/8838896

Cited by 16 publications

(11 citation statements)

References 7 publications

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“…In [ 30 ], the authors present an automatic mechanism to separate the lanes physically without human intervention. In [ 31 ], authors propose a mechanism to control reversible lanes using real-time information. Safety impacts of roadway design have been studied in [ 26 – 29 ].…”

Section: Discussionmentioning

confidence: 99%

Modeling adaptive reversible lanes: A cellular automata approach

et al. 2021

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Dealing with traffic congestion is one of the most pressing challenges for cities. Transport authorities have implemented several strategies to reduce traffic jams with varying degrees of success. The use of reversible lanes is a common approach to improve traffic congestion during rush hours. A reversible lane can change its direction during a time interval to the more congested direction. This strategy can improve traffic congestion in specific scenarios. Most reversible lanes in urban roads are fixed in time and number; however, traffic patterns in cities are highly variable and unpredictable due to this phenomenon’s complex nature. Therefore, reversible lanes may not improve traffic flow under certain circumstances; moreover, they could worsen it because of traffic fluctuations. In this paper, we use cellular automata to model adaptive reversible lanes(aka dynamic reversible lanes). Adaptive reversible lanes can change their direction using real-time information to respond to traffic demand fluctuations. Using real traffic data, our model shows that adaptive reversible lanes can improve traffic flow up to 40% compared to conventional reversible lanes. Our results show that there are significant fluctuations in traffic flow even during rush hours, and thus cities would benefit from implementing adaptive reversible lanes.

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Section: Discussionmentioning

confidence: 99%

Modeling adaptive reversible lanes: A cellular automata approach

et al. 2021

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“…Thirdly, the identification of lane markings in all weather conditions is a technical problem restricting autonomous vehicles. Similar to the idea of Mao et al [42] that applies markings in the dynamic reversible lane of an intelligent cooperative vehicle infrastructure system, based on the intelligent active luminous lane markings imagined in this paper, electronic communication components could be embedded to improve the digitization and intelligence levels of the lane markings. In this way, vehicle-to-road coordination can be realized.…”

Section: Application Prospect Analysismentioning

confidence: 99%

Effectiveness of Active Luminous Lane Markings on Highway at Night: A Driving Simulation Study

et al. 2021

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Road lane markings play an essential role in maintaining traffic order and improving traffic safety and efficiency. Active luminous lane markings have emerged with advances in technology recently. However, it is still not completely clear what impact their application will have on drivers. This paper aimed to study the effectiveness of active luminous lane markings on highways at night. A driving simulation experiment was carried out based on advanced driving simulators at Tongji University. The driving simulation experiment involved 31 participants and 9 simulation scenes with 6 different types of lane markings models and the same 2-way highway segment, which was 5300-m long with four 3.75-m wide driving lanes. The study participants drove through the simulated highway while the vehicle operation data and the driver’s eyes changing data were continuously captured. Overall, the pupil area change rate, steering wheel speed, brake pedal force, gas pedal, lane departure, and operating speed indicators were selected to evaluate the effectiveness of the active luminous lane markings. The results are shown as follows: (1) the active luminous lane markings have excellent visual recognition performance at night. Compared with the passive luminous lane markings, the active luminous markings can reduce the mental and physical loads of drivers, increase the early braking distance significantly, improve the lane-keeping ability and smooth the operating speed; (2) for the specific parameter settings of the active luminous lane markings at night, the yellow lane markings are better than the white ones, the point-line-type lane markings are superior to the conventional-type ones, and the blinking frequency is reasonable to set, at a moderate level, as 40 times per min. The results suggest that there are positive effects of active luminous lane markings on the promotion of highway traffic safety and efficiency at night, providing theoretical support for the popularization and application of active luminous road lane markings.

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“…Xiao et al [15] focused on disseminating messages under global traffic information and studied the cooperative bargain for the separation of traffic flows in smart reversible lanes so as to make consistent movements when separating the flows. Mao et al [16] proposed a real-time dynamic reversible lane scheme in the Intelligent Cooperative Vehicle Infrastructure System (CVIS) which was applied to determine the number of lanes and the timing of lane changes.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Reversible Lane considering the Relationship between Traffic Capacity and Number of Lanes

Cai

et al. 2022

Journal of Advanced Transportation

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To make full use of road resources, improve the operation efficiency of the road network system, and alleviate the coexistence between traffic congestion and road resources idle caused by the traffic tidal phenomenon, the impact of the number of lanes on traffic capacity is examined, and the mixed-integer bilevel programming model for reversible lane optimization is established with the aim to minimalize the total travel time of the system. Taking a test road network as an example, the influence of the reversible lane optimization on characteristic values of sections, the route travel time between OD pairs, and the total time of the system are analyzed. The results indicate that the reversible lane optimization can make full use of the idle road resources and make the road network structure match the travel demands better, and the system index after the reversible lane optimization is obviously better than the original system index.

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Design of Real-Time Dynamic Reversible Lane in Intelligent Cooperative Vehicle Infrastructure System

Cited by 16 publications

References 7 publications

Modeling adaptive reversible lanes: A cellular automata approach

Modeling adaptive reversible lanes: A cellular automata approach

Effectiveness of Active Luminous Lane Markings on Highway at Night: A Driving Simulation Study

Optimization of the Reversible Lane considering the Relationship between Traffic Capacity and Number of Lanes

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