Intelligent Transportation System Simulation for Traffic Management in Urban Transportation Planning Process

Abstract

Traffic management in recent times has faced numerous challenges
such as a steady increase in the traffic volume annually, traffic jams,
etc. However, in previous years; this problem has been solved by the
construction of more transportation infrastructure (such as
increasing the number of lanes) but in the phase of the world’s energy
crisis and limited land resources, this method has proven to be
ineffective and costly in the long term. Hence the need for a more
robust approach/method of traffic management which is “The
Intelligent Transportation System” as captured in this study.This
study evaluates the role played by Intelligent Transportation System
in developed countries in solving problems in Traffic Management,
Enforcement, and other related issues. Traffic conditions with the aid
of Simulation of Urban Mobility (SUMO) software, an ideal
condition was compared and contrasted with the prevailing traffic
condition in Benin City (Akpakpava axis specifically) gotten from
daily traffic count conducted during this research in terms of average
travel time, average travel speed, vehicle waiting time, fuel
consumption, and also emission of pollutant into the environment.
From the analysis using Simulation of Urban Mobility (SUMO)
software, it was discovered that Intelligent Transportation System
(ITS) is indeed very effective and useful in traffic management in
terms of its reduction of the average travel time by 20.57 %, vehicle
waiting time (which equates to reduced fuel consumption) by
69.01%. Also, ITS with the aid of SUMO has shown that Carbon II
Oxide from vehicles will be reduced by 31.05%, Carbon IV Oxide by
13.30%, Hydrocarbons by 21.14%, Oxides of Nitrogen by 11.56%,
and Motor Vehicle pollutant by 14.71%. The study provides
recommendations and implementation strategies for the deployment
of Intelligent Transportation System in light of these challenges to
improve traffic conditions