Traffic engineering /
Traffic engineering /
Dominic Brady (editor)
- New York City, NY : Murphy & Moore Publishing, c2021.
- 235 pages : illustrations (chiefly color) ; 28 cm.
Includes index.
Chapter 1 : A state-of-the-art review on empirical data collection for external governed pedestrians complex movement. --
Chapter 2 : Theoretical comparison of the effects of different traffic conditions on urban road traffic noise. --
Chapter 3 : An Evaluation Method of Urban Public Transport Facilities Resource Supply based on Accessibility. --
Chapter 4 : Traffic State Estimation Using Connected Vehicles and Stationary Detectors. --
Chapter 5 : A Reliability-based Network Equilibrium Model with Adaptive Risk-Averse Travelers. --
Chapter 6 : Reliability-based Estimation of Traffic Interruption Probability due to Road Waterlogging. --
Chapter 7 : Improving Traffic State Prediction Model for Variable Speed Limit Control by Introducing Stochastic Supply and Demand. --
Chapter 8 : Evaluating Highway Traffic Safety: An Integrated Approach. --
Chapter 9 : Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities. --
Chapter 10 : An Improved Deep Learning Model for Traffic Crash Prediction. --
Chapter 11 : A Review of the Self-Adaptive Traffic Signal Contorl System Based on Future Traffic Environment. --
978-1-63897-537-5 (paperback)
TRAFFIC ENGINEERING.
TRANSPORTATION ENGINEERING.
HIGHWAY ENGINEERING.
TE 228 T73 2021
Includes index.
Chapter 1 : A state-of-the-art review on empirical data collection for external governed pedestrians complex movement. --
Chapter 2 : Theoretical comparison of the effects of different traffic conditions on urban road traffic noise. --
Chapter 3 : An Evaluation Method of Urban Public Transport Facilities Resource Supply based on Accessibility. --
Chapter 4 : Traffic State Estimation Using Connected Vehicles and Stationary Detectors. --
Chapter 5 : A Reliability-based Network Equilibrium Model with Adaptive Risk-Averse Travelers. --
Chapter 6 : Reliability-based Estimation of Traffic Interruption Probability due to Road Waterlogging. --
Chapter 7 : Improving Traffic State Prediction Model for Variable Speed Limit Control by Introducing Stochastic Supply and Demand. --
Chapter 8 : Evaluating Highway Traffic Safety: An Integrated Approach. --
Chapter 9 : Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities. --
Chapter 10 : An Improved Deep Learning Model for Traffic Crash Prediction. --
Chapter 11 : A Review of the Self-Adaptive Traffic Signal Contorl System Based on Future Traffic Environment. --
978-1-63897-537-5 (paperback)
TRAFFIC ENGINEERING.
TRANSPORTATION ENGINEERING.
HIGHWAY ENGINEERING.
TE 228 T73 2021
