Assessing the Performance of a Two-Step Dynamic Demand Estimation Model on Large-Scale Congested Networks

Poster (2018, January)

Effectiveness of the Two-Step Dynamic Demand Estimation model on large networks

in Proceedings of 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (2017, June 28)

In this paper, the authors present a Two-Step approach that sequentially adjusts generation and distribution values of the (dynamic) OD matrix. While the proposed methodology already provided excellent ... [more ▼]

In this paper, the authors present a Two-Step approach that sequentially adjusts generation and distribution values of the (dynamic) OD matrix. While the proposed methodology already provided excellent results for updating demand flows on a motorway, the aim of this paper is to validate this conclusion on a real network: Luxembourg City. This network represents the typical middle-sized European city in terms of network dimension. Moreover, Luxembourg City has the typical structure of a metropolitan area, composed of a city centre, ring, and suburb areas. An innovative element of this paper is to use mobile network data to create a time-dependent profile of the generated demand inside and outside the ring. To support the claim that the model is ready for practical implementation, it is interfaced with PTV Visum, one of the most widely adopted software tools for traffic analysis. Results of these experiments provide a solid empirical ground in order to further develop this model and to understand if its assumptions hold for urban scenarios. [less ▲]

Generating Macroscopic, Purpose-Dependent Production Factors Through Monte Carlo Sampling Techniques

in Transportation Research Procedia (2017)

Effects of incorporating activity duration and scheduling utility on the equilibrium-based dynamic traffic assignment

Scientific Conference (2016, July)

A Markov chain dynamic model for trip generation and distribution based on CDR

in Periodica Polytechnica Transportation Engineering (2015)

On the link between activity patterns and traffic within-day demand profiles: empirical analysis and application to demand estimation

Scientific Conference (2015, September)

Improving the reliability of demand estimation using traffic counts by including information on link flow observability

Scientific Conference (2015, August)

Systematic assessment of local & global control policies: A methodological perspective

in Proceedings of the MT-ITS Conference (2015, June)

IMPROVING THE RELIABILITY OF A TWO-STEPS DYNAMIC DEMAND ESTIMATION APPROACH BY SEQUENTIALLY ADJUSTING GENERATIONS AND DISTRIBUTIONS

Poster (2015, January 16)

A TWO-STEP APPROACH FOR THE CORRECTION OF THE SEED MATRIX IN THE DYNAMIC DEMAND ESTIMATION

in Transportation Research Record: Journal of the Transportation Research Board (2014), 2466

In this work deterministic and stochastic optimization methods are tested for solving the Dynamic Demand Estimation problem. All the adopted methods demonstrate the difficulty in reproducing the correct ... [more ▼]

In this work deterministic and stochastic optimization methods are tested for solving the Dynamic Demand Estimation problem. All the adopted methods demonstrate the difficulty in reproducing the correct traffic regime, especially if the seed matrix is not sufficiently close to the real one. Therefore, in this paper a new and intuitive procedure to specify an opportune starting seed matrix is proposed: it is a two-step procedure based on the concept of dividing the problem into small-size problems, focusing on specific OD pairs in different steps. Specifically, the first step focuses on the optimization of a subset of OD variables (the ones who generate the higher flows or the ones who generate the bottlenecks on the network). In the second step the optimization works on all the OD pairs, using as starting matrix the matrix derived from the first step. In this way is possible to use a more performance optimization method for every step, improving the performance of the method and the quality of the result with respect to the classical “one-step” approach. The procedure has been tested on the real network of Antwerp, Belgium, demonstrating its efficacy in combination with different optimization methods. [less ▲]