Vehicle headway distribution models are widely used in traffic engineering fields, since they
reflect the fundamental uncertainty in drivers' car-following maneuvers and meanwhile …

In this paper, we propose a set of algorithms to design signal timing plans via deep
reinforcement learning. The core idea of this approach is to set up a deep neural network …

In large cities, signalized intersections often become oversaturated in rush hours due to
growing traffic demand. If not controlled properly, they may collectively result in serious …

Traffic demands at intersections vary across various periods of a day and from day to day.
Generally, fixed time traffic signals are designed considering the average traffic flows across …

In order to improve the traffic efficiency of oversaturated arterial traffic, a two-way signal
coordinated control method is proposed. Taking traffic speeds, turning flow proportions and …

We formulate a joint dynamical traffic system that encompasses both route choice and traffic
control in which the signal controller interacts with and adapts to the route choices of …

From the past few decades, technology is out breaking with its significant application in each
and every field. Gradually, technology is becoming integral part of human life and effectively …

Most existing intersection signals are timed based on delay minimization. However,
minimizing delay does not necessarily lead to the minimization of emissions at an …

Deterministic progression time is generally assumed in bandwidth optimization models.
However, progression time is cycle-by-cycle time varying and generally longer than the …

Signal control systems have experienced tremendous development both in hardware and in
control strategies in the past 50 years since the advent of the first electronic traffic signal …