RUI: A Web-based Road Updates Information System using Google Maps API

by   Benzar Glen S. Grepon, et al.

Knowing the current situation on every road in an area is still difficult to anticipate. Commuters, riders, and drivers are still dependent on road situations from a local news agency to be well informed and be updated on possible road updates such as vehicular accidents, government road and bridge projects/construction, and other related road obstructions. To give solutions regarding road updates, a web-based roads update information system has been developed that uses Google Maps API allowing people to view and be notified of the real-time updates of the road situation of a specific area. This paper discusses the main system functionalities, including sub-systems and modules of the system, the research approach and methodology, which is the Agile Model, and its impact on disseminating road information and its status. The project has been evaluated using ISO 25010. Based on the evaluation result, the project has been rated 4.21, signifying an excellent performance based on qualitative description through a Likert scale descriptive interpretation. The project has been running and hosted on the world wide web and is expected to expand its coverage area from its origin country to the rest of the world. Based on the initial findings of the study, the respondents agreed that the developed web system was functional and a massive help to commuters, riders, and people who travel a lot. The system's overall effectiveness and performance were excellent based on the criteria set by ISO/IEC 25010. It is recommended for future development to expand the coverage of the road updates, if possible, including the entire Philippine archipelago for long-drive commuters and drivers to be more updated in terms of road updates. Also, include the use of mobile applications for more user-friendly design and interactions.


page 10

page 11

page 12


Neurocognitive and traffic based handover strategies

The level of automation in vehicles will significantly increase over the...

Exploring The Relationship Between Road Infrastructure and Crimes in Memphis, Tennessee

Memphis, Tennessee is one of the cities with highest crime rate in the U...

Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA

Autonomous Vehicles (AVs) i.e., self-driving cars, operate in a safety c...

Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction

Access to quality travel time information for roads in a road network ha...

IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study

This paper describes the development of a system that enables real time ...

Estimating a Large Drive Time Matrix between Zip Codes in the United States: A Differential Sampling Approach

Estimating a massive drive time matrix between locations is a practical ...

Please sign up or login with your details

Forgot password? Click here to reset