Passengers of public transportation nowadays expect reliable and accurate travel information. The need for occupancy information is becoming more prevalent in intelligent public transport systems as people started avoiding overcrowded vehicles during the COVID-19 pandemic. Furthermore, public transportation companies require accurate occupancy forecasts to improve service quality. We present a nov...Show More
The emergence of intelligent transportation systems and the availability of detailed past trips and real-time data enabled more accurate travel time prediction algorithms. Passengers of public transportation highly value reliable service and accurate travel information. Unexpected delays while traveling impact traveler satisfaction enormously. We present a novel approach for a travel time predicti...Show More
