Intelligent vehicular navigation system based on real-time road information

Taiwan is a densely populated island, thus, main roads and roads along tourist attractions are often highly congested during rush hours, weekends, and national holidays. The traffic conditions would waste road users' time and affect the mood of relaxation during holidays. Navigation system is an indispensable tool for many road users; however, the traditional navigation system with the RDS-TMC system can't provide real-time road information for dynamic route planning because of the data capability of RDS-TMC is not large enough carry all information of every road. When non-primary roads are congested, the systems cannot reroute for the road users. As most users use the same route planning, serious congestion would also occur. This paper intended to propose a method to reroute road users according to actual road conditions, thus assisting road users to avoid congestion, and balance road use. The method can greatly reduce unnecessary time waste and try to make the road usage in an average manner. This paper includes two parts: (1) data collection and integration; (2) dynamic route planning based on the collected data. Using the concept of Web 2.0 to collection and integration data, real-time data was provided by road users. The realtime road information is establishing with Internet and road users, and completed by some estimation based on the history information.