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Improving the quality of IndyGo journey for Citizens

App for citizens and city employees to enable better monitoring of public resources and decision making using machine learning

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We propose a solution that will ensure comfortable and reliable commutes for the citizens of Indianapolis. We propose a mobile device based app pair (Automated Mobility App and Citizen Report app) to enhance IndyGo journey experience:

a. Automated Mobility App-  A smart-phone mounted on the bus will have this app installed. This will app automatically uses all the available embedded sensing (cameras, accelerometers, GPS) and fuses it with other sources of data (e.g. traffic data from Cities, local weather data, local social media data, etc.) to build a mobility map of the city. The data is analyzed both in real time and on the cloud to generate insights and provide decision support. If permitted by the agency, the data can be further augmented by using existing IndyGo camera and vehicle location data.

b. Citizen Report App- A smart-phone app that can be downloaded by citizens to report any cause of discomfort during their journey. 

Describe who will use your solution (1,000 characters)

This solution will be used by the Marion county government and residents. An accelerometer on the mobile device is continuously monitored to automatically identify potholes on the road. This information is used to take images of the damaged sections of the road, geo-locate them, and generate reports for the road maintenance authorities. The pothole information will be combined with average annual daily traffic information to prioritize which affected roads should be addressed first to minimize inconvenience to road users. Citizens can also use a separate mobile app to report non-emergency issues like graffiti, stray animals, damaged traffic signs, overflowing garbage, illegal dumping, and other issues that impact the quality of life of citizens in the city. These issues will be geo tagged and forwarded to corresponding departments.

Describe your solution's stage of development

  • Ready to Scale - you have completed and expanded your pilot and are seeing adoption of your solution by your intended user

Insights from previous testing (500 characters)

The Cityflag mobile app, which allows citizens to submit service requests for non-emergency issues, has improved efficiency and service quality in the city of San Antonio. More than 18,000 San Antonio residents have started using the 311SA app, submitting over 32,000 requests, with 90% of cases resolved. ETALYC has successfully deployed Freeway Management solutions with five midwestern states which collect data to identify bottlenecks and suggest action plans to prioritize budget allocation.

Tell us about your team or organization (500 characters)

Our team is comprised of members from ETALYC and Cityflag. ETALYC (http://www.etalyc.com) focuses on improving traffic operations through the integration of modern technologies, such as the Internet of Things (IoT), machine learning, and big data analytics. Cityflag (www.cityflag.co) introduces the use of government technological platforms to expand public participation channels while facilitating transparency and accountability of public management.

Size of your team or organization

  • 11-50

Funding Request

  • $100,000

Rough Budget (500 characters)

Customer discovery: $10,000 Hardware deployment: $18,000 Software development: $40,000 Testing and deployment: $15,000 Cloud storage: $5,000 Cloud computing: $12,000

Describe how you would pilot your idea (1000 characters)

The pilot will be launched in 2 stages. Stage 1 uses existing Cityflag app to encourage citizens to report issues that they observe during their journey. All issues that they encounter interacting with infrastructure that impact mobility of the citizens. In the second stage, we’ll launch an automated app to be deployed on the buses that uses a combination of the latest technologies such as IoT, cloud computing, and machine learning to identify, prioritize, and report issues impacting mobility. The app will be designed based on availability of existing data streams being collected by indyGo cameras and AVL logs. The following implementation methodology will be used: Planning & Configuration: Collaborate with the municipality to map and design all relevant processes and configure platforms. Release: Work closely with the municipality to provide training and release our product. Validation & Optimization: Gather data and receive feedback for future updates and improvements

Describe how you would measure the success of your pilot (1000 characters)

We expect to successfully develop and implement the application described in Marion County for use by government personnel and residents. We will focus on the following key performance indicators: number of issues reported, number of issues fixed, ease of use, and user satisfaction. We will also assess how much time and money will be saved or better allocated as a result of implementing these tools.

Sustainability Plan (500 characters)

Yes, we believe that our solution can be sustained after the pilot period ends. To continue our solution’s continued implementation, we will seek private investments to expand our operations and our team. We will continue to improve our application by updating it with the latest technological advancements and add features to make the app more people-centered and user friendly.

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