Impact of Connected Vehicles and Autonomous Vehicles on Future Transportation

Lin, Pei-Sung; Wang, Zhenyu; Guo, Rui

doi:10.1061/9780784479810.006

Cited by 14 publications

(12 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, Wan et al (2016) analysed the effects of lead time of verbal collision warning messages on car-following behaviour and reported that gradual braking and shorter response time of drivers when the lead time was between 5 to 8 s. Chrysler et al (2015) concluded that drivers identified potential threat sooner in a connected environment compared to a traditional environment, resulting in shorter response times. Lin et al (2016) reported longer response times of drivers in a connected environment in hazardous conditions such as fog, which contrasts the findings of several past studies. In a recent driving simulator study, Wu et al (2018) found shorter response times in a connected environment in reduced visibility driving conditions (e.g., fog) compared to driving without warning system.…”

Section: Response Time In a Connected Environmentcontrasting

confidence: 99%

Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment

Ali

Bliemer

Zheng

et al. 2020

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

Lane-changing is one of the complex driving tasks that depends on the number of vehicles, objectives, and lanes. A driver often needs to respond to a lane-changing request of a lane-changer, which is a function of their personality traits and the current driving conditions. A connected environment is expected to assist during the lane-changing decision-making process by increasing situational awareness of surrounding traffic through vehicle-to-vehicle communication and vehicle-to-infrastructure communication. Although lane changing decision making process in a traditional environment (an environment without driving aids) has been frequently investigated, our understanding of drivers' interactions during the lane-changing decisionmaking process in a connected environment remains elusive due to the novelty of the connected environment and the scarcity of relevant data. As such, this study examines drivers' responses to lane-changing requests in a connected environment using the CARRS-Q Advanced Driving Simulator. Seventy-eight participants responded to the lane-changing request of a lanechanger under two randomised driving conditions: baseline (traditional environment without driving aids) and connected environment (with driving aids). A segmentation-based approach is employed to extract drivers' responses to the lanechanging request and subsequently estimate their response time from trajectory data. Additionally, drivers' response times are modelled using a random parameter accelerated failure time (AFT) hazard-based duration model. Results reveal that drivers tend to be more cooperative in response to a lane-changing request in the connected environment compared with the baseline condition whereby they tend to accelerate to avoid the lane-changing request. The AFT model suggests that on average drivers' response times are shorter in the connected environment, implying that drivers respond to the lane-changing request faster in the presence of driving aids. However, at the individual level, connected environment's impact on drivers' response times is mixed as drivers' response times may increase or decrease in the connected environment compared to the baseline condition, for instance, we find that female drivers have lower response times in the connected environment than that of male drivers. Overall, this study finds that drivers in connected environment, on average, take less time to respond and appear to be more cooperative, and thus, are less likely to be engaged in safety-critical events.

show abstract

Section: Response Time In a Connected Environmentcontrasting

confidence: 99%

Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment

Ali

Bliemer

Zheng

et al. 2020

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

show abstract

“…resolution acuity, contrast sensitivity and depth perception), causing them to make riskier decisions. Another direct effect of weather would be on road conditions, such as slippery roads due to rain, that can impact movements of both drivers and pedestrians [55], [78].…”

Section: A Classical Studiesmentioning

confidence: 99%

Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

Rasouli

Tsotsos

2020

IEEE Trans. Intell. Transport. Syst.

598

252

View full text Add to dashboard Cite

One of the major challenges that autonomous cars are facing today is driving in urban environments. To make it a reality, autonomous vehicles require the ability to communicate with other road users and understand their intentions. Such interactions are essential between vehicles and pedestrians, the most vulnerable road users. Understanding pedestrian behavior, however, is not intuitive and depends on various factors, such as demographics of the pedestrians, traffic dynamics, environmental conditions, and so on. In this paper, we identify these factors by surveying pedestrian behavior studies, both the classical works on pedestrian-driver interaction and the modern ones that involve autonomous vehicles. To this end, we will discuss various methods of studying pedestrian behavior and analyze how the factors identified in the literature are interrelated. We will also review the practical applications aimed at solving the interaction problem, including design approaches for autonomous vehicles that communicate with pedestrians and visual perception and reasoning algorithms tailored to understanding pedestrian intention. Based on our findings, we will discuss the open problems and propose future research directions.

show abstract

“…Autonomous driving technologies (i.e., AEB, and potentially including autonomous steering, acceleration, and deceleration) and connected vehicle technologies (e.g. dynamic routing systems) have the capacity to improve road safety and traffic flow, 18, 81 although there are potential adverse consequences of these technologies to consider (appendix). …”

Section: Future Of Healthy Transportation In Chinamentioning

confidence: 99%

Transport and public health in China: the road to a healthy future

et al. 2017

View full text Add to dashboard Cite

Transportation-related risk factors are a major source of morbidity and mortality in China, where expansion of road networks and surges in personal vehicle ownership are having profound effects on public health. Road traffic injuries and fatalities have increased alongside motorized transport in China, and accident injury risk is aggravated by inadequate emergency response systems and trauma care. National air quality standards and emission control technologies are having a positive effect, yet persistent air pollution is increasingly attributable to a growing and outdated vehicle fleet, and famously congested roads. Urban design favors motorized transport, and physical activity and its associated health benefits are hindered by poor urban infrastructure. Transport emissions of greenhouse gases contribute substantially to regional and global climate change, which compound public health risks from multiple factors. Despite these complex challenges, technological advances and innovations in planning and policy stand to make China a leader in sustainable, healthy transportation.

show abstract

Impact of Connected Vehicles and Autonomous Vehicles on Future Transportation

Cited by 14 publications

References 2 publications

Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment

Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment

Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

Transport and public health in China: the road to a healthy future

Contact Info

Product

Resources

About