Virtual reality for smart urban lighting design: Review, applications and opportunities

M Scorpio, R Laffi, M Masullo, G Ciampi, A Rosato… - Energies, 2020 - mdpi.com
More and more cities are evolving into smart cities, increasing their attractiveness, energy
efficiency, and users' satisfaction. Lighting systems play an important role in the evolution …

Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways

R Ren, H Li, T Han, C Tian, C Zhang, J Zhang… - Accident Analysis & …, 2023 - Elsevier
Traffic accidents are one main cause of human fatalities in modern society. With the fast
development of connected and autonomous vehicles (CAVs), there comes both challenges …

[HTML][HTML] Human-like driving behaviour emerges from a risk-based driver model

S Kolekar, J De Winter, D Abbink - Nature communications, 2020 - nature.com
Current driving behaviour models are designed for specific scenarios, such as curve driving,
obstacle avoidance, car-following, or overtaking. However, humans can drive in diverse …

Road lighting research for drivers and pedestrians: The basis of luminance and illuminance recommendations

S Fotios, R Gibbons - Lighting Research & Technology, 2018 - journals.sagepub.com
This article discusses quantitative recommendations for road lighting as given in guidelines
and standards, primarily, the amount of light. The discussion is framed according to the type …

Effect of highway directional signs on driver mental workload and behavior using eye movement and brain wave

Y Yang, Y Chen, C Wu, SM Easa, W Lin… - Accident Analysis & …, 2020 - Elsevier
The rapid development of expressways has led to an increasing number of place names that
must be displayed on road guide signs. As a result, multi-board guide signs have been …

Applying machine learning and google street view to explore effects of drivers' visual environment on traffic safety

Q Cai, M Abdel-Aty, O Zheng, Y Wu - Transportation research part C …, 2022 - Elsevier
This study aims to explore the effects of drivers' visual environment on speeding crashes by
using different machine learning techniques. To obtain the data of drivers' visual …

Driver's cognitive workload and driving performance under traffic sign information exposure in complex environments: A case study of the highways in China

N Lyu, L Xie, C Wu, Q Fu, C Deng - International journal of environmental …, 2017 - mdpi.com
Complex traffic situations and high driving workload are the leading contributing factors to
traffic crashes. There is a strong correlation between driving performance and driving …

Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach

P Wu, T Chen, YD Wong, X Meng, X Wang… - … research part A: policy …, 2023 - Elsevier
Traffic safety is a critical factor that has always been considered in policy making for urban
transportation planning and management. Accurately predicting crash risk hot spots allows …

Effects of on-street parking in urban context: A critical review

S Biswas, S Chandra, I Ghosh - Transportation in developing economies, 2017 - Springer
On-street parking is a common form of parking, known for its efficiency in terms of land use
and convenience to motorists as it allows them to park their vehicles nearer to their …

Effects of safety measures on driver's speed behavior at pedestrian crossings

F Bella, M Silvestri - Accident Analysis & Prevention, 2015 - Elsevier
This paper reports the results of a multi-factorial experiment that was aimed at the
following:(a) analyzing driver's speed behavior while approaching zebra crossings under …