Introduction 1. Goal 1: To identify multiple factors that affect traffic conditions in central KL. 2. Goal 2: To identify solutions that can improve traffic congestion in the area due to the factors found. Hypothesis 1: I believe that there are four factors that can influence traffic, which are weather conditions, religious holidays, the day of the week and the time of the day. Hypothesis 2: I believe that traffic congestion can be solved by both the government and commuters if effective action is taken. This also involves working cooperatively to achieve positive results. Objective 1: To gather a range of data at a specific location. This data will include a traffic count that is conducted over multiple days, times, weather conditions and religious holidays. This will allow me to determine which factors have an influence on traffic conditions. Objective 2: To observe the area and analyse information from objective one to highlight the main problems that are causing traffic congestion. Once the main problems are established, solutions to these problems can then be achieved. Location of Data Collection The data that was collected for aim one was based upon the traffic running down Raja Chulan road. This location was chosen because it is one of the main roads that runs through central Kuala Lumpur and is notorious for peak-hour traffic congestion. This is also a one-way road and is barely affected by other factors such as traffic lights, merging points and construction works. In addition, this road was convenient to me as it is situated close by and there is also a safe and suitable place to collect my data. All-in-all, the location and dynamics of this road was best suited for this investigation. General Location and Surroundings Raja Chulan is one of the three main roads that are situated in the "Golden Triangle." Raja Chulan, Jalan Sultan Ismail and Jalan Imbi border the Golden Triangle, which is an area known for its endless shopping malls, hotels, high rise buildings and entertainment venues that attract large amounts of people to the city. The Golden Triangle encompasses one of Malaysia's largest tourist attractions, the Petronas Towers. History of the Area This area was first established in the 19th century as a small tin mining settlement. As time passed, the place gradually grew and more people flocked to the area to take advantage of its copious amounts of tin. By 1881, a school, homeless shelter and a railway had been constructed linking KL to Port Klang. In addition, successful miners and merchants started building fine houses along what is now known as Jalan Ampang, which also situated in the Golden Triangle area. From this point onwards, the city's future was looking prosperous and people with different ethnicities began to arrive in the area. However, it was only until the 1990's when the city's large skyline started to develop. In just 20 years, the city has transformed from average houses and greenery to an area full of large skyscrapers. This change is represented in Figure two. Methodology To achieve aim one, I conducted my own survey to obtain primary data that is useful and accurate to prove my hypothesis. The survey that was conducted was a traffic count, which involved counting how many vehicles passed a particular point in two minutes. To determine which factors affect the traffic conditions, I had conducted my survey over different days, times, weather conditions and religious holidays. Overall, my survey lasted two weeks and involved conducting the survey twice a day at 9am and 5pm. The second week that this survey was conducted, there was a religious holiday known as Ramadan. Overall, the data that was collected took into consideration a number of factors that may have affected traffic conditions. To collect this data, I simply positioned myself in a location that was safe and made it easy to count the number of vehicles passing along the road. The location I chose was an overpass that was directly over Raja Chulan and was ideal for this particular survey type. A traffic count was the chosen method of data collection because it took into account the number of vehicles passing by and also the multiple factors present. This made it easy to distinguish which factors had an influence on the traffic conditions, which is the main aim of this project. The data collected from the traffic count was useful and no additional primary data was needed to achieve my aims. To analyse how the factors affected the traffic, both the number of vehicles that passed by and also the speed at which the traffic was moving was recorded. For the vehicle count, each type of vehicle was counted individually, including the number of cars, motorbikes, buses and trucks. This data was recorded as it may have revealed patterns and assisting in completing aim two. For the traffic