Results 91 to 100 of about 910 (216)

Traffic Safety Evaluation at Unsignalized road Intersection using Proactive Approach

, 2021
Deaths and injuries as a result of road accidents are a recognized global problem and authorities are aware of the consequences this global phenomenon might lead to.
Abstract, Abstract, Quezon, Emer T.
core  

Distributed Cooperative Driving Strategy for Connected Automated Vehicles at Unsignalized Intersections Based on Monte Carlo Method

Journal of Advanced Transportation
One of the most important goals of cooperative driving is to control connected automated vehicles (CAVs) passing through conflict areas safely and efficiently without traffic signals.
Haoming Li, Wei Dong, Linjun Lu, Ying Wang, Xianing Wang   +4 more
doaj   +1 more source

Unsignalized Intersection Management Strategy for Mixed Autonomy Traffic Streams

With the rapid development of connected and automated vehicles (CAVs) and intelligent transportation infrastructure, CAVs, connected human-driven vehicles (CHVs), and un-connected human-driven vehicles (HVs) will coexist on the roads in the future for a ...
Wang, Xiaofan, Zhou, Junjie, Wang, Lin, Shen, Zhaokun   +3 more
core   +1 more source

Critical conflict probability: A novel risk measure for quantifying intensity of crash risk at unsignalized intersections

IATSS Research
A significant number of traffic crashes are reported at unsignalized intersections. However, in developing countries, challenges such as underreporting and limited crash data hinder the direct correlation of traffic conflicts with reported crashes for ...
Aninda Bijoy Paul, Ph.D., Ninad Gore, Ph.D., Shriniwas Arkatkar, Ph.D., Gaurang Joshi, Ph.D., Md Mazharul Haque, Ph.D.   +4 more
doaj   +1 more source

An investigation of traffic speed distributions for uninterrupted flow at blackspot locations in a mixed traffic environment

IATSS Research
Modelling traffic characteristics is the foundation for resolving various traffic and transportation issues. Among them, traffic speed has a significant impact on roadway crashes at blackspot (BS) locations.
Debashis Ray Sarkar, Parveen Kumar
doaj   +1 more source

A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles. [PDF]

Sensors (Basel), 2023
Yadav P, Mishra A, Kim S.
europepmc   +1 more source

Impact of Sambas Besar Bridge on Tebas Intersection Performance, West Kalimantan

Rekayasa Sipil
The operation of the Sambas Besar Bridge (JSSB) significantly alters traffic patterns around Tebas District, particularly at the unsignalized Tebas three-way intersection, which serves both residential and commercial activities.
Siti Sarah, Heri Azwansyah, Siti Nurlayli Kadarini   +2 more
doaj   +1 more source

Cooperative trajectory optimization for multiple connected vehicles at an unsignalized intersection

Advances in Mechanical Engineering
Due to the advancement of driverless technology, multi-vehicle cooperation and intelligent travel will become the key direction of intelligent transportation system technology. In high-level autonomous driving, the elimination of intersection signals can
Hao Yang, Xianyang Li, Duoyang Qiu, Xiaomeng Zhu   +3 more
doaj   +1 more source

Development of Pedestrian Level of Service (PLOS) for Jaywalking Pedestrians at Unsignalised Intersections on Urban Arterials Using Ann &Amp; Clustering: A Case Study in India

Communications
In a developing country like India where jaywalking is prevalent than using designated crosswalks, pedestrian safety is a major concern. Development of pedestrian level of service (PLOS) is essential for monitoring pedestrian safety for these manoeuvres.
Ampereza Ankunda, Malaya Mohanty, Satya Ranjan Samal   +2 more
doaj   +1 more source

Intent Recognition and Trajectory Prediction for Multiple Types of Traffic Participants at an Unsignalized Intersection Based on Bidirectional Spatiotemporal Attention Network

Promet (Zagreb)
This work investigates intent recognition and trajectory prediction for multiple types of traffic participants at an unsignalized intersection within connected intelligence environments based on bidirectional spatiotemporal attention network (Bi-STANet).
Yanan HOU, Mingbao PANG, Huamin LIANG
doaj   +1 more source