A proof-of-concept field experiment on cooperative lane change maneuvers using a prototype connected automated vehicle testing platform

2020 ◽  
Vol 25 (1) ◽  
pp. 77-92
Author(s):  
Kelli Raboy ◽  
Jiaqi Ma ◽  
Edward Leslie ◽  
Fang Zhou
Keyword(s):  
Field Experiment ◽  
Lane Change ◽  
Proof Of Concept ◽  
Testing Platform ◽  
Automated Vehicle ◽  
Vehicle Testing

Cellular Automata–Based Modeling and Simulation of a Mixed Traffic Flow of Manual and Automated Vehicles

2017 ◽  
Vol 2622 (1) ◽  
pp. 105-116 ◽  
Author(s):  
Da Yang ◽  
Xiaoping Qiu ◽  
Lina Ma ◽  
Danhong Wu ◽  
Liling Zhu ◽  
...  
Keyword(s):  
Reaction Time ◽  
Traffic Flow ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Lane Change ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Obvious Effect ◽  
Mixed Traffic Flow ◽  
Automated Vehicle

In recent years, automated vehicles have been developing rapidly, and some automated vehicles have begun to drive on highways. The market share of automated vehicles is expected to increase and will greatly affect traffic flow characteristics. This paper focuses on the mixed traffic flow of manual and automated vehicles. The study improves the existing cellular automaton model to capture the differences between manual vehicles and automated vehicles. Computer simulations are employed to analyze the characteristic variations in the mixed traffic flow under different automated vehicle proportions, lane change probabilities, and reaction times. Several new conclusions are drawn in the paper. First, with the increment of the proportion of automated vehicles, freeway capacity increases; the capacity increment is more significant for single-lane traffic than for two-lane traffic. Second, for single-lane traffic flow, reducing the reaction time of the automated vehicle can significantly improve road traffic capacity—as much as doubling it—and reaction time reduction has no obvious effect on the capacity of the two-lane traffic. Third, with the proportion increment of automated vehicles, lane change frequency reduces significantly. Fourth, when the density is 15 < ρ < 55 vehicles/km, the addition of 20% automated vehicles to a traffic flow that consisted of only manual vehicles can decrease congestion by up to 16.7%.

scholarly journals Effects of Marking Automated Vehicles on Human Drivers on Highways

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 286 ◽  
Author(s):  
Tanja Fuest ◽  
Alexander Feierle ◽  
Elisabeth Schmidt ◽  
Klaus Bengler
Keyword(s):  
Road Traffic ◽  
Driving Behavior ◽  
Sensor Technology ◽  
Lane Change ◽  
Objective Data ◽  
Automated Vehicles ◽  
Traffic Jam ◽  
Automated Vehicle ◽  
Time Headway ◽  
First Time

Due to the short range of the sensor technology used in automated vehicles, we assume that the implemented driving strategies may initially differ from those of human drivers. Nevertheless, automated vehicles must be able to move safely through manual road traffic. Initially, they will behave as carefully as human learners do. In the same way that driving-school vehicles tend to be marked in Germany, markings for automated vehicles could also prove advantageous. To this end, a simulation study with 40 participants was conducted. All participants experienced three different highway scenarios, each with and without a marked automated vehicle. One scenario was based around some roadworks, the next scenario was a traffic jam, and the last scenario involved a lane change. Common to all scenarios was that the automated vehicles strictly adhered to German highway regulations, and therefore moved in road traffic somewhat differently to human drivers. After each trial, we asked participants to rate how appropriate and disturbing the automated vehicle’s driving behavior was. We also measured objective data, such as the time of a lane change and the time headway. The results show no differences for the subjective and objective data regarding the marking of an automated vehicle. Reasons for this might be that the driving behavior itself is sufficiently informative for humans to recognize an automated vehicle. In addition, participants experienced the automated vehicle’s driving behavior for the first time, and it is reasonable to assume that an adjustment of the humans’ driving behavior would take place in the event of repeated encounters.

scholarly journals Does a Test Ride Influence Attitude towards Autonomous Vehicles? A Field Experiment with Pretest and Posttest Measurement

2021 ◽  
Vol 13 (10) ◽  
pp. 5387
Author(s):  
Manon Feys ◽  
Evy Rombaut ◽  
Lieselot Vanhaverbeke
Keyword(s):  
Field Experiment ◽  
Technology Acceptance ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Automated Vehicle ◽  
Intention To Adopt ◽  
Public Road ◽  
Before And After ◽  
Mobility System ◽  
Technology Anxiety

Autonomous vehicles have the potential to disrupt the mobility system. Therefore, it is important to understand attitude formation towards autonomous vehicles. The focus of this study is on the private user’s technology acceptance of an autonomous vehicle. The study applies the determinants of technology acceptance to capture users’ attitude towards and intention to adopt autonomous vehicles. A field experiment with 27 participants was conducted to assess changes in determinants before and after a test ride with a level 2 automated vehicle. The automated vehicle was equipped with technology that allowed a hands-off, feet-off experience on a public road in real traffic. The results show that a ride has a positive and significant effect on attitudes towards autonomous vehicles. Additionally, participants with higher ratings of technology anxiety show a remarkable increase in attitude towards autonomous vehicles after the ride compared to participants with lower levels of technology anxiety. These findings indicate that experience with a partially automated vehicle has a potentially positive effect on the acceptance of autonomous vehicles. As such, our study illustrates the importance of continuous pilot testing with private automated vehicles to increase future user acceptance of autonomous vehicles.

scholarly journals Design of a Cooperative Lane Change Protocol for a Connected and Automated Vehicle Based on an Estimation of the Communication Delay

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3499 ◽  
Author(s):  
Hongil An ◽  
Jae-il Jung
Keyword(s):  
Traffic Safety ◽  
Communication Delay ◽  
Lane Change ◽  
Simulation Environment ◽  
Automated Vehicle ◽  
V2v Communication ◽  
Vehicle To Vehicle ◽  
Local Path ◽  
Set Up ◽  
The Impact

Connected and automated vehicles (CAVs) have recently attracted a great deal of attention. Various studies have been conducted to improve vehicle and traffic safety through vehicle to vehicle (V2V) communication. In the field of CAVs, lane change research is considered a very challenging subject. This paper presents a cooperative lane change protocol, considering the impact of V2V communication delay. When creating a path for a lane change in the local path planning module, V2V communication delay occurs. Each vehicle was represented, in our study, by an oriented bounding box (OBB) to determine the risk of collision. We set up a highway driving simulation environment and verified the improved protocol by implementing a longitudinal and lateral controller.

scholarly journals Traffic Scenarios for Automated Vehicle Testing: A Review of Description Languages and Systems

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 342
Author(s):  
Jing Ma ◽  
Xiaobo Che ◽  
Yanqiang Li ◽  
Edmund M.-K. Lai
Keyword(s):  
Automated Vehicles ◽  
Domain Specific Languages ◽  
Automated Vehicle ◽  
Domain Specific ◽  
The Past ◽  
Traffic Scenario ◽  
Description Languages ◽  
Vehicle Testing ◽  
Further Development

Testing and validation of the functionalities and safety of automated vehicles shifted from a distance-based to a scenario-based method in the past decade. A number of domain-specific languages and systems were developed to support scenario-based testing. The aim of this paper is to review and compare the features and characteristics of the major scenario description languages and systems (SDLS). Each of them is designed for different purposes and with different goals; therefore, they have their strengths and weaknesses. Their characteristics are highlighted with an example nontrivial traffic scenario that we designed. We also discuss some directions for further development and research of these SDLS.

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