The study on the evaluation of information system efficiency for the maintenance of the Chalerm Mahanakorn Expressway and the Chalong Rat Expressway aimed to study 1) characteristics of basic personal, economic, and social data; 2) management performance of the Chalerm Mahanakorn Expressway; 3) Factors affecting the efficiency of the information system on the maintenance management of the Chalerm Mahanakorn Expressway, and 4) problems, obstacles, and suggestions concerning the maintenance of the Chalerm Mahanakorn Expressway and the Chalong Rat Expressway. The sample group used in the study was the 23 staff who used the information system for the maintenance of the Chalerm Mahanakorn Expressway and the Chalong Rat Expressway completed the SAP training course and currently still use geographic information system (GIS) for the maintenance. Data were collected by interviews and data were analyzed by using descriptive statistics to find the percentage, mean, and standard deviation. The results of the study showed that most of the respondents were male (87%), aged between 25-40 years old (78.3%). Most of them received a Bachelor's degree (73.9%), positions responsible for maintenance officers of the Chalerm Mahanakorn Expressway (56.5%), and positions responsible for maintenance officers of the Chalong Rat Expressway (30.4%). The average working period was 5-10 years (56.6%) with an average income of 25,001 - 35,000 baht (39.1%). The frequency of using information systems in work is used every day (87%) because it is convenient, fast, and efficient (60.9%). In terms of opinion level on the current management of the Highway Maintenance Division of Chalerm Mahanakorn Expressway and the Chalong Rat Expressway, the results of the study showed that the sum of all aspects was at the highest level with a total mean of 4.49 (S.D. = 0.591). When considering each aspect, it revealed that the respondents had the most average opinion in terms of traffic guidance signs with an average of 4.55, followed by maintenance and the cost of traffic surfaces with an average of 4.50,