Online predictive connected and automated eco-driving on signalized arterials considering traffic control devices and road geometry constraints under uncertain traffic conditions

Zhao, Shuaidong; Zhang, Kuilin

doi:10.1016/j.trb.2020.12.009

Cited by 26 publications

(9 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most importantly, the synthesis of the results from the studies List of papers [1][2][3]5,6]. [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. [1,9,10,[15][16][17][18]21] *; .…”

Section: Methodsmentioning

confidence: 99%

“…For mixed traffic situations, however, signals will still be needed. Zhao and Zhang [24] provided a modeling framework that uses location-based traffic control devices and road geometry constraints. Concepts that are similar to these can be deployed in the transition period from conventional to a CCAV traffic management regime.…”

Section: Traffic Management In the Regime Of Ccavmentioning

confidence: 99%

See 1 more Smart Citation

The State of the Art of Cooperative and Connected Autonomous Vehicles from the Future Mobility Management Perspective: A Systematic Review

Alam

Georgakis

2022

Future Transportation

View full text Add to dashboard Cite

Cooperative and connected autonomous vehicles (CCAVs) are considered to be a promising solution for addressing congestion and other operational deficiencies, as part of a holistic future mobility management framework. As a result, a significant number of studies have recently been published on this topic. From the perspective of future mobility management, this review paper discusses three themes, which are traffic management, network performance, and mobility management, including congestion, and incident detection using the PRISMA methodology. Three databases were considered for this study, and peer-reviewed primary studies were selected that were published within the last 10 years in the English language, focusing on CCAV in the context of the future transportation and mobility management perspective. For synthesis and interpretation, like-for-like comparisons were made among studies; it was found that extensive research-supported information is required to ensure a smooth transition from conventional vehicles to the CCAVs regime, to achieve the projected traffic and environmental benefits. Research investigations are ongoing to optimize these benefits and associated goals via the setting of different models and simulations. The tools and technologies for the testing and simulation of CCAV were found to have limited capacity. Following the review of the current state-of-the-art, recommendations for future research have been discussed. The most notable is the need for large-scale simulations to understand the impact of CCAVs beyond corridor-based and small-scale networks, the need for understanding the interactions between the drivers of CCAVs and traffic management centers, and the need to assess the technological transition, as far as infrastructure systems are concerned, that is necessary for the progressive penetration of CCAVs into traffic streams.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Traffic Management In the Regime Of Ccavmentioning

confidence: 99%

The State of the Art of Cooperative and Connected Autonomous Vehicles from the Future Mobility Management Perspective: A Systematic Review

Alam

Georgakis

2022

Future Transportation

View full text Add to dashboard Cite

show abstract

“…Hence, notable growth is observed in the adoption of simulation software for traffic analysis, such as VISSIM, Paramics Microsimulation, and Autodesk Infraworks [40,101]. In the capture of traffic data, the trend towards the adoption of the Internet of Things (IoT) is observed through interconnected sensors that feed intelligent traffic management systems [106,107], which help to improve and manage various aspects related to safety, efficiency, driving, temporary facilities, and route planning, among others [108,109]. Traffic management systems are linked to smart traffic signal devices that adapt to changing conditions and traffic requirements, contributing to smart highways and cities [110][111][112].…”

Section: Cluster Analysis Niche Themesmentioning

confidence: 99%

Highway Planning Trends: A Bibliometric Analysis

et al. 2022

View full text Add to dashboard Cite

An efficient highway infrastructure network is a determining factor in promoting the socio-economic development of countries and regions. Highway planning activities are highly important because their results ensure that projects are delivered within budget, schedule, and scope. Therefore, academics and professionals have promoted various methodological and technological advances focused on improving highway planning processes, evidenced by many scientific documents that address the topic. Despite progress, few studies have focused on analyzing the state of the knowledge structure and the technological and methodological trends of the highway planning topic. Considering this gap, this study presents trends in highway planning and its knowledge structure based on a bibliometric analysis from January 2015 to September 2021. The research method is based on a bibliometric analysis composed of five main stages: (1) scope definition, (2) selection of bibliometric analysis techniques, (3) data collection, (4) bibliometric analysis execution, and (5) evidence analysis and synthesis. Information from 1703 journal papers was collected and analyzed. The findings show that the main trends of highway planning focus on life cycle analysis, computational tools, smart cities, sustainability issues, construction processes, new equipment and materials, and multi-objective optimization, among others. Thus, the findings of this study allow the reader to identify the methodological and technological trends in highway planning and their knowledge gaps to guide future studies in the field.

show abstract

“…When a GPS logger is used with a barometric altimeter, only then is it deemed accurate enough ( 11 ). With the emergence of automated and connected vehicles, Zhao and Zhang ( 12 ) highlight the necessity for high definition maps. But the general availability of such maps is still limited to small test cases.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Road Grade on the Risk Profile of Driver Behavior

Joubert

2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Data generated from telemetry devices, such as acceleration and speed, are used in a variety of industries to determine the risk profile of a driver. This paper considers the addition of road gradient as a contextual variable to a driving behavior model to determine specifically if the risk of a driver is influenced by different road grades. This behavioral risk is demonstrated by comparing the performance of heavy vehicle drivers with and without the addition of road grade as a variable. This is done by using accelerometer data of 48 heavy goods vehicles over an entire month, and appending elevation data from digital elevation model (DEM) data, specifically that of the Shuttle Radar Topography Mission (SRTM), to the vehicles’ GPS traces. The elevation values are used to calculate road grade values which are then categorized in five grade levels. The results show that there is a clear influence of gradient on the behavior of the drivers studied. There is also evidence that steeper sections on a road can cause a change in an individual’s performance when compared with the group.

show abstract

Online predictive connected and automated eco-driving on signalized arterials considering traffic control devices and road geometry constraints under uncertain traffic conditions

Cited by 26 publications

References 54 publications

The State of the Art of Cooperative and Connected Autonomous Vehicles from the Future Mobility Management Perspective: A Systematic Review

The State of the Art of Cooperative and Connected Autonomous Vehicles from the Future Mobility Management Perspective: A Systematic Review

Highway Planning Trends: A Bibliometric Analysis

Impact of Road Grade on the Risk Profile of Driver Behavior

Contact Info

Product

Resources

About