Bus Operation Monitoring Oriented Public Transit Travel Index System and Calculation Models

Abstract

This study proposed a two-dimensional index system which is concerned essentially with urban travel based on travel modes and user satisfaction. First, the public transit was taken as an example to describe the index system establishing process. In consideration of convenience, rapid, reliability, comfort, and safety, a bus service evaluation index system was established. The indicators include the N-minute coverage of bus stops, average travel speed, and fluctuation of travel time between stops and bus load factor which could intuitively describe the characteristics of public transport selected to calculate bus travel indexes. Then, combined with the basic indicators, the calculation models of Convenience Index (CI), Rapid Index (RI), Reliability Index (RBI), and Comfort Index (CTI) were established based on the multisource data of public transit including the real-time bus GPS data and passenger IC card data. Finally, a case study of Beijing bus operation evaluation and analysis was conducted by taking real bus operation data including GPS data and passenger transaction recorder (IC card data). The results showed that the operation condition of the public transit was well reflected and scientifically classified by the bus travel index models.

Transit signal priority optimization for urban traffic network considering arterial coordinated signal control

“…And minimized passengers' total traveling delay in control units of traffic network is chosen as the optimized target. The proposed TSP timing optimization model is described in equation (1). For Control Unit Type 1, total passenger delay (D U 1 ) of the unit is PD at the signalized intersection (D I ).…”

“…To handle the challenge of severe traffic congestion in the urban area during rush hours, high occupancy vehicle (especially transit vehicles) priority strategy is implemented to carry larger numbers of passengers efficiently. 1 However, the performance of transit vehicles priority is usually limited in some bottleneck areas (such as intersections and bus stops) of traffic networks. Previous experience has shown that transit signal priority (TSP) control can improve traffic operation in urban areas when compared to traditional signal control strategies.…”

Real-time bus travel speed estimation model based on bus GPS data

“…The bus travel speed is the foundation to effectively evaluate the operation condition and the level of service (LOS) of bus transit. 13 Based on GPS data, a method had been presented to monitor average commercial bus speeds systematically. 14 The method was based on the time-space diagram of bus system using the grid analysis method 15 to calculate the travel speed, and it could be applied to both bus route as a whole and section speed over segments of arbitrary length or arbitrary duration.…”