Evaluation of Freeway Traffic Management and Control Measures Based on SUMO

Freeway Traffic Management and Control

Microsimulations of Freeway Traffic Including Control Measures

Using a recently developed microscopic traffic model, we simulate how speed limits, on-ramp controls, and vehicle-based driver-assistance systems influence freeway traffic. We present results for a section of the German Autobahn A8-East. Both, a speed limit and an on-ramp control could considerably reduce the severeness of the originally observed and simulated congestion. Introducing 20% vehicl...

Evaluation of Traffic Management Measures on Road Traffic Noise

Road traffic noise affects the quality of life in the areas adjoining the road. The effect of traffic noise on people is wide ranging and may include sleep disturbance and negative impact on work efficiency. To address the problem of traffic noise, it is necessary to estimate the noise level. For this, a number of noise estimation models have been developed which can estimate noise at the recep...

Freeway Traffic Control Based on Neural Network Estimation

Due to their characteristics, freeways appear to be ideal sites for testing new traffic regulation strategies, based on continuously improved information systems. In this framework, a particular consideration has recently been devoted to the application of neural networks (NNs) to freeway supervision and control. In this paper, the solution to a “classical” traffic control problem is tackled wi...

Simulation, Dynamics and Control of Freeway Traffic

This paper presents the Simulator of Intelligent Transportation Systems (SITS).The SITS is based on a microscopic simulation approach to reproduce real traffic conditions in an urban or non-urban network considering different types of vehicles, drivers and roads. A dynamical analysis of several traffic phenomena, applying a new modelling formalism based on the embedding of statistics and Fourie...