Abstract

The rapidly growing traffic demand and the slowly increasing traffic supply have produced an mounting contradiction, which is mainly manifested in cities as road congestion and unbalanced bidirectional traffic flow. Most of the reversible lanes are implemented on fixed sections and fixed times and are mainly guided by ground markings, road signs, railings, and traffic police officer. It requires a lot of human and material costs. And, the control effect is lagging and inaccurate. Aiming at these problems, a real-time dynamic reversible lane scheme in the Intelligent Cooperative Vehicle Infrastructure System (CVIS) was proposed. Traffic information was collected in real time through the CVIS, and a reversible lane scheme was established based on the real-time service level V/C and BRP functions. A lane change control model was applied to determine the number of lanes and the timing of lane changes. Then, the reversible lanes were managed in real time through intelligent road stud lights and light curtain walls. Buffer sections and no-entry sections were set to ensure reversible lanes operating safely and efficiently. VISSIM simulation was used for case analysis, and the results showed that compared with the traditional time-controlled reversible lane scheme, the real-time dynamic reversible lane scheme could reduce the average vehicle delay by 27.4% and decrease the vehicle VOC, CO and NOX emissions by 13.5%.

Highlights

  • By the end of 2018, China’s car ownership had reached 240 million units, an increase of 22.85 million units over 2017. e national highway mileage reached 4,486,500 km, an increase of 73,100 km and 1.53% over the previous year. e rapidly increasing transportation demand and the slowly increasing transportation supply have produced increasing contradictions between supply and demand [1, 2]

  • In the proposed reversible lane scheme, intelligent solar road stud lights were used, which were controlled in real time under connected vehicle environment, to achieve the same indication function as road traffic lights

  • Establishment of Dynamic Control Model of Lane Change. e lane change dynamic control model obtains road traffic information in Cooperative Vehicle Infrastructure System (CVIS) and evaluates the road traffic flow conditions based on the service level of the road

Read more

Summary

Introduction

By the end of 2018, China’s car ownership had reached 240 million units, an increase of 22.85 million units over 2017. e national highway mileage reached 4,486,500 km, an increase of 73,100 km and 1.53% over the previous year. e rapidly increasing transportation demand and the slowly increasing transportation supply have produced increasing contradictions between supply and demand [1, 2]. In the proposed reversible lane scheme, intelligent solar road stud lights were used, which were controlled in real time under connected vehicle environment, to achieve the same indication function as road traffic lights. E direction was dynamically changed, and the results showed that the road capacity can be effectively improved by introducing the dynamic reversible lane scheme [8]; Golub et al put forward suggestions from the perspective of economic benefits and traffic benefits from the design of reversible lanes, marking, and management [9]; Yu and Tian studied the setting conditions of the reversible lanes and established a two-level planning model based on the road network. Where road information in CVIS was collected, the control model was used to allocate reversible lanes and intelligent road studs were used to guide traffic [21, 22]. Compared with the existing reversible lane control methods, the biggest advantage is that reversible lane allocation can be dynamically changed according to the traffic volume of the road, no manual operation is needed, and energy conservation and environmental protection are achieved, thereby achieving optimal use of road resources

Design Principles and Schemes of Real-Time Dynamic Reversible Lanes
Dynamic Lane Changing Criteria
Traffic Safety Analysis
Findings
Simulation and Data Analysis
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call