The advancements in smart city technologies have shown great potential to
ease traffic congestion. Although, Intelligent Transportation Systems (ITS) were
initiated in the late 1960s and early 1970s with the aim of developing ITS to enhance
the safety and security of both the vehicle as well as citizens in all kinds of traffic
conditions, unprecedented surge in population density, narrow roads, and loanable
vehicles exacerbate the traffic conditions, pollution, and accidents in major cities.
Smart Transportation System (STS) is the only solution for these conditions along with
achieving sustainability in smart cities and smart villages. Numerous integrated
technologies developed under ITS to resolve traffic-related issues are based on sensors,
Artificial Intelligence (AI), Internet of Things, Cloud Computing and Big-Data, etc.
This piece of knowledge only focused on the AI techniques. This chapter focuses on
the scope of ITS in solving the challenges faced by cities not only in terms of mobility
and security, smart mobility methodologies, sustainable sources of energy for smart
transportation and smart traffic signals, but also to solve the traffic congestion and road
accidents, which occur due to human-related factors (loss of control, limited sight
distance, and tiredness, etc.), vehicle-related factors (brake failure, wear & tear of parts
etc.) and traffic management related factors (improper design, deficient signaling
system, sluggish maintenance process, etc.). This chapter covers a case study of Indian
cities to reduce traffic congestion, avoid accidents and manage the transportation
systems in a much better way by using STS technologies.
Keywords: Artificial Intelligence, ATMS, Big-data, ITS, Smart city, Sensors, Traffic congestion.
