Jakob Erdmann

SUMO’s Lane-Changing Model

SUMO is an open source microscopic traffic simulation. A major component of modelling microscopic vehicle behavior is the lane-changing behavior on multi-lane roads. We describe a new model which uses a 4-layered hierarchy of motivations to determine the vehicle behavior during every simulation step and motivate in which ways it improves the current lane-changing model.

Modeling Mobility with Open Data

Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing modeling mobility with open data as the reading material.

Just do it! Combining agent-based travel demand models with queue based-traffic flow models

Abstract Proper travel demand models aim to create an equilibrium between expected travel times in the planning phase and simulated travel times after mapping the road traffic on the road network. While agent-based travel demand models (ABM) focus on the trip generation mainly based on pre-calculated travel times, traffic flow models simulate these trips and compute travel times taking into account speed restrictions and road capacities. This leads to deviations between the simulated travel times and the initially expected ones especially during rush hour so that both models are not in equilibrium state. Due to the complexity and limited computational resources, combinations of these two models are often simplified in either one or both parts. In this work we present an iteratively combined simulation model with feedback of travel times. We couple an ABM with a queue-based traffic flow model which simulates the set of trips for each agent. The ABM used adjusts its activity generation, destination choice and mode choice according to the re-calculated travel times resulting in more realistic day plans. The traffic flow model takes the sequential character of the trips into account and propagates the delay to the subsequent trips of each modelled agent, resulting in feasible trips. We show that equilibrium of travel time between these two models can be achieved with a low number of iterations. Our approach is sensitive to new travel times in destination and mode choice and results in trips which are consistent for a whole day for each modelled agent.

VITAL: A Simulation-Based Assessment of New Traffic Light Controls

This paper reports on a simulation-based test of two new single intersection control algorithms and the methods to be used to get the needed input data for the two new methods. It also demonstrates, that the new methods have the promise of improving the currently used conventional method by 15% -- 28% on average. Although the results so far are based on a microscopic simulation, efforts have been made to be as close as possible to reality. In a future step the two new methods will be tested in the field at a real intersection.

Comparing emission and traffic flow models of different categories

Emission modelling is one of the key applications of traffic simulation because it allows for the detailed evaluation of ITS and other traffic measures before implementation. In order to assess the outcomes correctly it becomes necessary to compare the different emission and traffic models for their applicability to different scenarios. This paper compares two different traffic models and three different emission models of diverse origins in an urban and a highway scenario.

SUMO’s Road Intersection Model

Besides basic models for longitudinal and lateral movement, a traffic simulation needs also models and algorithms for right-of-way rules. This publication describes how passing an intersection is modeled within SUMO, including a description of an earlier and the currently used model.