No open-access location is known for this record yet.
No open-access location is known for this record yet.
In this paper the authors present a model for the estimation of bus travel time disaggregated into its three components: cruising time, delays at junctions and delays at bus stops. The model has three distinctive features: it is fed only with passive data, includes a detailed modelling of delays at traffic signals and is able to capture differences in bus circulation among right-of- way types. The authors use data from automatic vehicle location devices plus smart card fare collection transactions from the public transport system in Santiago, Chile and traffic signals settings from the city traffic control centre. As a case study, a road stretch of around 10 kilometres is analysed, encompassing both segments with a high standard median busway and segments with mixed traffic on 2 and 3 lanes. The approach to intersection delay modelling enabled the authors to estimate also bus travel time savings due to traffic signal coordination for different sections and periods, and found that these savings are negatively affected by bus stops. The model allows them to identify and analyse all sources of delays with a high temporal and spatial resolution. They find that the median busway (i) saves traffic signal overflow delays completely, (ii) reduces significantly bus cruising time, (iii) saves part of the uniform delay and (iv) increases delays due to braking and accelerating at bus stops, with a total effect that depends upon the combination of the aforementioned impacts.
Loading…
Stored only when both papers are in the corpus — 5 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.