Integrated Networking and Visualization Approach to Crash Data Analysis

2001 ◽  
Vol 1768 (1) ◽  
pp. 172-179 ◽  
Author(s):  
Ping Yi ◽  
Yingcai Xiao ◽  
Saroja Devarakonda
Keyword(s):  
Data Analysis ◽  
Crash Data ◽  
Crash Data Analysis

scholarly journals Implications of a Narrow Automated Vehicle-Exclusive Lane on Interstate 15 Express Lanes

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Sahar Ghanipoor Machiani ◽  
Alidad Ahmadi ◽  
Walter Musial ◽  
Anagha Katthe ◽  
Benjamin Melendez ◽  
...  
Keyword(s):  
Data Analysis ◽  
Simulation Analysis ◽  
Careful Consideration ◽  
Human Capabilities ◽  
Crash Data ◽  
Automated Vehicle ◽  
The Difference ◽  
Differential Increase ◽  
Operational Impacts ◽  
Crash Data Analysis

The main objective of this study is to evaluate the safety and operational impacts of an innovative infrastructure solution for safe and efficient integration of Automated Vehicle (AV) as an emerging technology into an existing transportation system. Filling the gap in the limited research on the effect of AV technology on infrastructure standards, this study investigates implications of adding a narrow reversible AV-exclusive lane to the existing configuration of I-15 expressway in San Diego, resulting in a 9 ft AV reversible lane and, in both directions, two 12-feet lanes for HOV and FasTrak vehicles. Given the difference between the operation of AVs and human-driven vehicles and reliance of AVs on sensors as opposed to human capabilities, the question is should we provide narrower AV-exclusive roadways assuming AVs are more precise in lateral and longitudinal lane keeping behaviour? To accomplish the goal of the project, a historical crash data analysis and a traffic simulation analysis were conducted. Crash data analysis revealed that unsafe speed, improper turning, and unsafe lane change are the most recurring primary collision factors on I-15 ELs. AVs’ automated longitudinal and lateral control systems could potentially reduce these types of collisions on an AV-exclusive lane with proper infrastructure features for AV sensor operation (e.g., distinct lane marking). Microsimulation findings indicated an AV-exclusive lane may increase traffic flow and density by up to 14% and 24%, respectively. It also showed that average speed is reduced. However, this could lead to the speed differential increase between the exclusive lane and adjacent lane requiring careful consideration if additional treatments or barriers are needed. The results of this study contribute to infrastructure adaptation to AV technology and future AV-exclusive lanes implementations.

A generalized nonlinear model-based mixed multinomial logit approach for crash data analysis

2017 ◽  
Vol 99 ◽  
pp. 51-65 ◽  
Author(s):  
Ziqiang Zeng ◽  
Wenbo Zhu ◽  
Ruimin Ke ◽  
John Ash ◽  
Yinhai Wang ◽  
...  
Keyword(s):  
Data Analysis ◽  
Nonlinear Model ◽  
Multinomial Logit ◽  
Crash Data ◽  
Model Based ◽  
Generalized Nonlinear Model ◽  
Crash Data Analysis

Senegalese Road Crash Data Analysis Based On Clustering And Association Rule Mining

2021 ◽  
Author(s):  
Yoro DIA ◽  
Cheikh Tidiane SECK ◽  
Mouhamadou Saliou DIALLO ◽  
Ousmane SALL ◽  
Mamadou Bousso ◽  
...  
Keyword(s):  
Data Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Crash Data ◽  
Road Crash ◽  
Crash Data Analysis

scholarly journals Opportunities for crash and injury reduction: A multiharm approach for crash data analysis

2017 ◽  
Vol 18 (sup1) ◽  
pp. S1-S8
Author(s):  
Ann Mallory ◽  
Allison Kender ◽  
Kevin Moorhouse
Keyword(s):  
Data Analysis ◽  
Crash Data ◽  
Injury Reduction ◽  
Crash Data Analysis
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