2013Procedia - Social and Behavioral SciencesOpen access

Model based Traffic Control in Indian Conditions

Vincy Verghese, Shankar C. Subramanian, Lelitha Vanajakshi

Open full text 6 citations

Abstract

Congestion and associated traffic safety are the major challenges for transportation systems all over the world in recent years. Congestion occurs when traffic demand exceeds the operational capacity of the roadway. Better management of infrastructure is required in improving the operational capacity. Traffic signals are one of the most popular traffic control strategies that have been adopted for managing the demand and to reduce congestion; but if not properly designed will lead to excessive delay and increase in travel time. Therefore, signals need to be designed based on theory of traffic flow that requires a good understanding of the traffic system. The present study proposes a macroscopic model based control scheme for Indian traffic conditions. Traffic density and speed are used as the state variables to characterize the system and the developed control scheme regulates the density inside the section.

Open-access reader

About this research paper

What this paper is about

Congestion and associated traffic safety are the major challenges for transportation systems all over the world in recent years. Congestion occurs when traffic demand exceeds the operational capacity of the roadway. Better management of infrastructure is required in improving the operational capacity. Traffic signals are one of the most popular traffic control strategies that have been adopted for managing the demand and to reduce congestion; but if not properly designed will lead to excessive delay and increase in travel time. Therefore, signals need to be designed based on theory of traffic flow that requires a good understanding of the traffic system. The present study proposes a macroscopic model based control scheme for Indian traffic conditions. Traffic density and speed are used as the state variables to characterize the system and the developed control scheme regulates the density inside the section.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Congestion and associated traffic safety are the major challenges for transportation systems all over the world in recent years. Congestion occurs when traffic demand exceeds the operational capacity of the roadway. Better management of infrastructure is required in improving the operational capacity. Traffic signals are one of the most popular traffic control strategies that have been adopted for managing the demand and to reduce congestion; but if not properly designed will lead to excessive delay and increase in travel time. Therefore, signals need to be designed based on theory of traffic flow that requires a good understanding of the traffic system. The present study proposes a macroscopic model based control scheme for Indian traffic conditions. Traffic density and speed are used as the state variables to characterize the system and the developed control scheme regulates the density inside the section.

Key concepts: Traffic congestion reconstruction with Kerner's three-phase theory, Traffic flow (computer networking), Traffic optimization, Traffic congestion, Transport engineering, Floating car data, Computer science, Traffic wave

Related papers

Back to paper searchBrowse research topicsOriginal source
Model based Traffic Control in Indian Conditions — Research Paper | ScholarLens