'Robot cars' are cars that allow for automated driving. They can drive closer together than human driven 'normal cars', and thereby raise road capacity. Obtaining a robot car instead of a normal car can also be expected to lower the user's value of time losses (VOT), because travel time can be...

It is generally acknowledged that the implementation of other, more efficient, road pricing measures meet public resistance and that acceptability is nowadays one of the major barriers to successful implementation. Despite the fact that politicians and the public regard transport problems as...

This paper presents the results of a large stated choice experiment among Dutch commuters facing congestion. The experiment consisted of a fractional factorial design with 15 different attributes, three alternatives were car specific and the other was always public transport. Various model...

Using game theory we investigate a new approach to formulate and solve optimal tolls with a focus on different policy objectives of the road authority. The aim is to gain more insight into determining optimal tolls as well as into the behavior of users after tolls have been imposed on the...

There has been wide interest in private supply of roads as a solution to traffic congestion. We study its efficiency under demand uncertainty: we solve for equilibrium and optimum as benchmarks, and evaluate the efficiency of possible regulatory policies for private road operators. We obtain...

This paper analyzes the effect of carrier collaboration on fleet capacity, fleet structures in terms of the number and the size of vehicles, and load factors. The model features complementary networks, scheduling, price elastic demands, and demand uncertainty. For the case of a given number of...

We study the efficiency of private supply of roads under demand uncertainty and evaluate various regulatory policies. Due to demand uncertainty, capacity is decided before demand is known, but tolls can be adjusted after demand is known. Policy implications can differ considerably from those...

We study different mixes of private and public supply of roads in a network with bottleneck congestion and heterogeneous users. In our setting, there are two parallel links for one origin and destination pair and two groups of travellers, where the group with higher value of time also has higher...

We investigate the impacts of in-vehicle activities of commuters in the autonomous car on aggregate travel patterns. We allow for an autonomous car to affect the utility difference between being at home and being in the vehicle differently than the utility difference between being at work and...

Hypercongestion - the phenomenon that higher traffic densities can reduce throughput - is well understood at the link level, but has also been observed in a macroscopic form at the level of traffic networks; for instance, in morning rush-hour traffic into a downtown core. In this paper, we show...