Calendar

Week Monday Tuesday Wednesday Thursday Friday
1/17
First class meeting 4:00p - 5:50p Zoom
Initial Post due 11:59p
1/24
Second class meeting 4:00p - 5:50p 1002 ECEB
CAD assignment due 11:59p
1/31
Third class meeting 4:00p - 5:50p 1002 ECEB
Project approval due 4:45p
2/7
Fourth class meeting 4:00p - 5:50p 3002 ECEB
Proposals due 11:59p
Initial Conversation With Machine Shop (required if using the shop) due 4:00p ECEB 1047
2/14
2/21
Design Document Check
Fliflet: ECEB 2072
Design Document Check
Shao: ECEB 2074
Design Document Check
Song: ECEB 4036
Design Document Check
Schuh: ECEB 5034
Design Document Check
Fliflet: ECEB 2072
Design Document Check
Shao: ECEB 2074
Design Document Check
Song: ECEB 4036
Design Document Check
Schuh: ECEB 5034
Design Document due 11:59p
2/28
Design Review
Shao: ECEB 2074
Design Review
Song: ECEB 4036
Design Review
Schuh: ECEB 5034
PCB Board Reviews due 4:00p - 6:00p
Design Review
Fliflet: ECEB 2072
Design Review
Shao: ECEB 2074
Design Review
Song: ECEB 4036
Design Review
Schuh: ECEB 5034
Design Review
Fliflet: ECEB 2072
Design Review
Schuh: ECEB 5034
3/7
Last day for revisions to the machine shop due 1048 ECEB
3/14
Spring Break
Spring Break
Spring Break
Spring Break
Spring Break
3/21
3/28
4/4
4/11
4/18
Mock demo During weekly TA mtg
Mock demo During weekly TA mtg
Mock demo During weekly TA mtg
Mock demo During weekly TA mtg
Mock demo During weekly TA mtg
4/25
Demonstration
Fliflet: ECEB 2072
Demonstration
Schuh: ECEB 2072
Demonstration
Shao: ECEB 2072
Demonstration
Song: ECEB 2072
Demonstration
Fliflet: ECEB 2072
Demonstration
Schuh: ECEB 2072
Demonstration
Shao: ECEB 2072
Demonstration
Song: ECEB 2072
Demonstration
Fliflet: ECEB 2072
Demonstration
Schuh: ECEB 2072
Demonstration
Shao: ECEB 2072
Demonstration
Song: ECEB 2072
5/2
Presentation
Song: ECEB 2034
Presentation
Fliflet: ECEB 2072
Presentation
Shao: ECEB 2074
Presentation
Schuh: Mon-4036, Tues-5034
Presentation
Song: ECEB 2034
Presentation
Fliflet: ECEB 2072
Presentation
Shao: ECEB 2074
Presentation
Schuh: Mon-4036, Tues-5034
Final papers due 11:59p
Lab checkout 3:00p - 4:30p With TA
Award Ceremony and Pizza! 4:30p - 5:30p ECEB 3002
Lab Notebook Due due 11:59p

BusPlan

Aashish Kapur, Connor Lake, Scott Liu

BusPlan

Featured Project

# People

Scott Liu - sliu125

Connor Lake - crlake2

Aashish Kapur - askapur2

# Problem

Buses are scheduled inefficiently. Traditionally buses are scheduled in 10-30 minute intervals with no regard the the actual load of people at any given stop at a given time. This results in some buses being packed, and others empty.

# Solution Overview

Introducing the _BusPlan_: A network of smart detectors that actively survey the amount of people waiting at a bus stop to determine the ideal amount of buses at any given time and location.

To technically achieve this, the device will use a wifi chip to listen for probe requests from nearby wifi-devices (we assume to be closely correlated with the number of people). It will use a radio chip to mesh network with other nearby devices at other bus stops. For power the device will use a solar cell and Li-Ion battery.

With the existing mesh network, we also are considering hosting wifi at each deployed location. This might include media, advertisements, localized wifi (restricted to bus stops), weather forecasts, and much more.

# Solution Components

## Wifi Chip

- esp8266 to wake periodically and listen for wifi probe requests.

## Radio chip

- NRF24L01 chip to connect to nearby devices and send/receive data.

## Microcontroller

- Microcontroller (Atmel atmega328) to control the RF chip and the wifi chip. It also manages the caching and sending of data. After further research we may not need this microcontroller. We will attempt to use just the ens86606 chip and if we cannot successfully use the SPI interface, we will use the atmega as a middleman.

## Power Subsystem

- Solar panel that will convert solar power to electrical power

- Power regulator chip in charge of taking the power from the solar panel and charging a small battery with it

- Small Li-Ion battery to act as a buffer for shady moments and rainy days

## Software and Server

- Backend api to receive and store data in mongodb or mysql database

- Data visualization frontend

- Machine learning predictions (using LSTM model)

# Criteria for Success

- Successfully collect an accurate measurement of number of people at bus stops

- Use data to determine optimized bus deployment schedules.

- Use data to provide useful visualizations.

# Ethics and Safety

It is important to take into consideration the privacy aspect of users when collecting unique device tokens. We will make sure to follow the existing ethics guidelines established by IEEE and ACM.

There are several potential issues that might arise under very specific conditions: High temperature and harsh environment factors may make the Li-Ion batteries explode. Rainy or moist environments may lead to short-circuiting of the device.

We plan to address all these issues upon our project proposal.

# Competitors

https://www.accuware.com/products/locate-wifi-devices/

Accuware currently has a device that helps locate wifi devices. However our devices will be tailored for bus stops and the data will be formatted in a the most productive ways from the perspective of bus companies.