Showing 1 - 10 of 13
Persistent link: https://www.econbiz.de/10003541665
Persistent link: https://www.econbiz.de/10001283916
Most smartphones today are equipped with an accelerometer, in addition to other sensors. Any data recorded by the accelerometer can be successfully utilised to determine the mode of transportation in use, which will provide an alternative to conventional household travel surveys and make it...
Persistent link: https://www.econbiz.de/10011155171
Persistent link: https://www.econbiz.de/10003468409
Persistent link: https://www.econbiz.de/10001103488
Persistent link: https://www.econbiz.de/10001074133
Persistent link: https://www.econbiz.de/10005379082
Recently, tracking-type travel data collection methods using mobile communication instruments have developed rapidly. The detailed and accurate travel data are useful for understanding travel behaviour and evaluating the actual effects of transport policy such as traffic demand management. This...
Persistent link: https://www.econbiz.de/10005323010
Conventional methods for estimating origin-destination (O-D) trip matrices from link traffic counts assume that route choice proportions are given constants. In a network with realistic congestion levels, this assumption does not hold. This paper shows how existing methods such as the...
Persistent link: https://www.econbiz.de/10005191512
This study proposes a formulation of the within-day dynamic stochastic traffic assignment problem. Considering the stochastic nature of route choice behavior, we treat the solution to the assignment problem as the conditional joint distribution of route traffic, given that the network is in...
Persistent link: https://www.econbiz.de/10010738257