Allister Loder

TL;DR: This work shows with billions of vehicle observations, how road and bus network topology explains around 90% of the empirically observed critical point variation, making it therefore predictable, and finds a sublinear relationship between network size and critical accumulation emphasizing decreasing marginal returns of infrastructure investment.

TL;DR: This paper presents the first empirical estimate of a 3D-MFD at the urban scale, using data from loop detectors and automatic vehicle location devices of the public transport vehicles in the city of Zurich, Switzerland, to estimate the effects of the vehicle accumulation on car and public transport speeds under multi-modal traffic conditions.

TL;DR: In this paper, the authors present an approach to jointly model the choice of four different mobility tools, including car-sharing, using data from the Swiss transportation micro census of 2005 and 2010.

TL;DR: A functional form for the MFD that is based on the smooth approximation of an upper bound of technologically feasible traffic states (uMFD) is proposed and it is found that a trapezoidal shape with only four parameters, all physically meaningful, models the familiar shape of the M FD very well.

TL;DR: This paper proposes a methodology to generate a functional form and shows its applicability to the specific case of a bi-modal network with buses and cars, and shows that it always hold similar values even for different networks, making its approximation also possible.