Influence of participation rates and service level differentiation on community driven predictions

Abstract

Anticipatory Vehicle Routing based on Intention Propagation (AVRIP) can help reduce drivers travel times and avoid forming congestion. The route guidance system uses information shared by participating drivers to predict future link traversal times, the time it will take a vehicle to traverse a road at a certain time in the future. Both participating and non-participating drivers benefit from these link travel time predictions. Participating drivers will receive the predictions and will adapt their route to avoid any congestion. Non-participating drivers experience less congestion because of these diversions. The percentage of drivers participating in the AVRIP guidance is an important factor. This participation rate influences the efficiency of the system in two ways: it affects the accuracy of the predictions and it changes the number of drivers influenced by the predictions. This paper provides a first study on the influence of the participation rate on the efficiency of AVRIP by varying the participation rate while keeping all other parameters constant in a simulated traffic network. © 2014 Springer International Publishing Switzerland.