Singapore Road Traffic Control

A detailed Summary of Singapore Road Traffic Control


As vehicle numbers grow, cities around the world face serious road traffic congestion problems. On some major roads can be so bad that speeds are 10 km/h or lower, slower than a bicycle. The costs include lost work and leisure time, increased fuel consumption, air pollution, health problems, stress, and discomfort. Furthermore, congestion slows the movement of goods and services, adding to the price of products and reducing the competitiveness of business. This essay will examine three of the policies implemented by the government to control road traffic in Singapore.

One obvious way to discourage private car usage in Singapore is to provide an efficient and convenient public transport system. Singapore invested, in the past decade, S$ 7.5 billion in its transportation sector, of which S$ 5.2 billion was on the Mass Rapid Transit (MRT), rail and public transport, and S$ 2.3 billion was on roads. The extensive MRT network encourages commuters to utilize the rail


Singapore has a land transport policy, which aims to construct a network of roads, and expressway, augmented by traffic management measures and to develop an efficient public transport system. The above- mentioned transport-related policies go a long way in controlling road traffic in Singapore and in fulfilling the aims of the transport policy.

Another one of the policies that helps the government in controlling road traffic in Singapore, is the Electronic Road Pricing (ERP). Under this system, when a vehicle approaches ERP gantries, charges are deducted automatically from stored-value cards that are slotted into an in-vehicle unit. Being intelligent and more use-friendly, the ERP system, with more advanced technology, is more efficient in controlling traffic into important areas such as the Central Business District (CBD area). The government hopes to extend this system to other congested areas throughout the island. Although many complain that the ERP has the potential to be misapplied for tra

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Approximate Word count = 679
Approximate Pages = 3 (250 words per page double spaced)

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