Titlebook: Smart Transportation Systems 2020; Proceedings of 3rd K Xiaobo Qu,Lu Zhen,Lakhmi C. Jain Conference proceedings 2020 The Editor(s) (if appl

简略

How to Model the Influence of In-vehicle Crowding on Travel Behavior: A Comparison Among Moderationight on the appropriate modeling approach concerning the influences of in-vehicle crowding on mode choice behavior in the multimodal network. Stated preference surveys covering four commuting transport modes and four influencing factors are conducted to collect empirical behavior data. Three modelin

AVID

Accessing the Influences of Weather and Environment Factors on Traffic Speed of Freeway,ement and control strategy. This study explores the influences of freeway attributes, weather, and air condition on traffic speed. A quantitative model is also introduced to predict the traffic speed as per the identified influencing factors. Empirical data of traffic flow and potential influencing

宏伟

somnambulism

inundate

To Investigate the Hidden Gap between Traffic Flow Fundamental Diagrams and the Derived Microscopicd performance studies since it depicts the mathematical relationship among three traffic flow fundamental parameters.density, speed, and traffic flow. In this paper, through mathematical analyses and simulations, we find that for all existing fundamental diagram models, their derived microscopic car

radiograph

狼群

FUME

Encoding

,Realistic 5.9 GHz DSRC Vehicle-to-Vehicle Wireless Communication Protocols for Cooperative Collisio hoc networks (VANETs) communications in the mining industry are expected to open significant opportunities for collecting and exchanging data, localization, collision warning, and up-to-date traffic to enhance both the safety of workers and increase the productivity. In this paper, we present a rev

肌肉

Real-Time Data Processing in Autonomous Vehicles Based on Distributed Architecture: A Case Study, elaborate algorithm implemented in 1/10 scale electric car using a line scan camera, speed sensors, and embedded electronic control system. The vehicle navigates in an arbitrary one-lane circuit using an edge detection algorithm. The challenge was to make a complete one loop of the arbitrary circui