October 2024 Flashcards

1
Q

John Kwant

A

Executive Director, Americas of 5G Automotive Association

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

NPRM

A

Notice of Proposed Rule Making

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Yunex

A

Smart City, Traffic Management company

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

bump out

A

curb extension from ped area out into roadway. Meant to increase pedestrian safety.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

NTCIP 1218

A

National Transportation Communications for ITS Protocol 1218
1218 is a specific standard within the NTCIP family, which focuses on communication with Remote Device Monitoring (RDM) systems.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

MIB

A

Management Information Base
MIB is a database used for managing the entities in a computer network, particularly in systems that use the Simple Network Management Protocol (SNMP). It defines the structure and format of the network information that can be retrieved or modified, usually for performance monitoring, fault detection, or system configuration.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

SDLC

A

Synchronous Data Link Control
The SDLC bus (Synchronous Data Link Control) is a communication protocol commonly used in traffic control systems to allow various devices and components in a traffic control cabinet to communicate with each other. In this context, traffic control cabinets house important equipment like traffic signal controllers, detectors, and communication devices. The SDLC bus connects these components, ensuring smooth and reliable data transfer between them.

SDLC is a synchronous, serial communication protocol that facilitates reliable, error-checked transmission of data between devices in the cabinet. It is widely used in systems that need high reliability, like traffic control.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

SDLC Conflict Monitor

A

An MMU (Malfunction Monitoring Unit)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

CTI 4501

A

The Connected Transportation Interoperability (CTI)
Connected Intersections Implementation Guide

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

NSF CIS Program Director

A

Siquan Shen (Civil and Environmental Engineering Professor here at UM

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

NSF CIS

A

Civil Infrastructure Systems

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Five groups at UMTRI (there are really 6)

A

Administration
Behavioral Sciences
Biosciences
CMISST (Center for Management of Information for Safe and Sustainable Transportation)
Engineering Systems
Human Factors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

CMISST

A

CMISST (Center for Management of Information for Safe and Sustainable Transportation)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Singularity

A

another container runner. compatible with docker, you can run images

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

zero-shot model

A

A zero-shot model isa machine learning model that can recognize and classify new concepts without being trained on labeled examples

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Co-Detr

A

Detr, or Detection Transformer, is a set-based object detector using a Transformer on top of a convolutional backbone. It uses a conventional CNN backbone to learn a 2D representation of an input image. The model flattens it and supplements it with a positional encoding before passing it into a transformer encoder.
Co-DETR integrates an attention mechanism to better model relationships between detected objects, which helps it better understand and separate objects in scenes with high interaction or density.

17
Q

backbone (as it applies to Neural Networks)

A

Generally, the term backbone refers to the feature-extracting network that processes input data into a certain feature representation.

18
Q

CNN

A

Convolutional Neural Network

19
Q

layers versus nodes versus weights (Neural Networks)

A

Layers are the columns of nodes. There are usually many layers.
Nodes are the individual “spots” in the NN.
Weights are the connections.

20
Q

YOLO Model

A

YOLO (You Only Look Once) is a real-time object detection model that performs object detection in a single pass through the network, making it fast and efficient.

21
Q

TSP

A

Transit Signal Priority (Something that Luke Liu at the city was keenly interested in)

22
Q

WSMP

A

Wave Short Message Protocol

23
Q

AASHTO

A

American Association of State Highway and Transportation Officials

24
Q

ITSA

A

ITS America
Intelligent Transportation Society America

25
Q

AACE 2.0 Award Amount

A

9.9 M

26
Q

ORSP

A

Office of Research and Sponsored Projects

27
Q

ATTAIN

A

Advanced Transportation Technology And InnovatioN

28
Q

CSW

A

Curve Speed Warning

29
Q

DMP

A

Data Management Plan

30
Q

SPMD

A

Safety Pilot Model Deployment

31
Q

CORS

A

Continually Operating Reference Station (RTK)

32
Q
A