Rail transit is developing rapidly in major cities of China and has become a key component urban transport. Nevertheless, the security reliability operation are significant issues that cannot be neglected. In this paper, network station vulnerabilities rail system were analyzed based on complex graph theories. A vulnerability evaluation model was proposed by accounting metro interchange passenger flow further validated case study Shanghai Metro with full-scale real-world traffic data. It...

Identifying and understanding factors that influence the demand of ridesourcing market is essential for online hailing systems to improve quality service. This paper proposes a two-level growth model (GM) identify potential multi-level may affect ride-hailing service demand. By using massive datasets from Didi Chuxing, Inc., including both Express Taxi services, order number fluctuations at different urban circle zones after implementation restrictions on in Shanghai, 2016 were analyzed,...

The prevention and control of COVID-19 in megacities is under large pressure because tens millions high-density populations. majority epidemic policies implemented focused on travel restrictions, which severely affected urban mobility during the epidemic. Considering impacts associated policies, this study analyzes relationship between COVID-19, residents, Point Interest (POI), social activities from perspective taxi travel. First, changes characteristics trips at different periods were...

Abstract Urban planning has shifted from “land-oriented” to “human-oriented” and metropolitan cities start focus on 15-min life circle community during recent years. As multiple dimensions of living service facilities are included, proactive supervision real-time evaluation essential in the governance spatial large cities, referring urban physical examination. This study proposes a diagnosis system based multisource big data evaluate public facilities, which performance service, terms...

Abstract: Lane‐changing behavior has received increasing attention during the recent years in traffic flow modeling. Researchers have developed various algorithms to model maneuvers on both highways and urban streets. However, majority of these models was derived validated using data such as vehicle trajectories, without many considerations driver characteristics. In this study, an instrumented vehicle‐based experiment carefully designed observe drivers’ action under lane‐changing scenarios....

Lane-changing algorithms have attracted increased attention during recent years. However, limited research has been conducted to address the probability of changing lanes as a function driver characteristics and lane-changing scenarios. This study contributes development comprehensive framework for modeling drivers' maneuver on arterials by using behavior-related data. Focus group studies “in-vehicle” driving tests were performed investigate effects type under various lane changes urban...

Although bus passenger demand prediction has attracted increased attention during recent years, limited research been conducted in the context of short-term forecasting. This paper proposes an interactive multiple model (IMM) filter algorithm-based to predict demand. After aggregated 15 min interval, data collected from a busy route over four months were used generate time series. Considering that exhibits various characteristics different scales, three series developed, named weekly, daily,...

This study proposes a flexible timetable optimization method based on hybrid vehicle size model to tackle the bus demand fluctuations in transit operation. Three different models for vehicle, large and small are built this study, respectively. With operation data of Shanghai Transit Route 55 at peak off-peak hours, heuristic algorithm was proposed solve problem. The results indicate that excels other two modes both total time cost. verifies rationality strategy highlights importance adaptive...

The performance of an adaptive signal control system largely depends on the embedded traffic flow prediction and algorithm. This paper proposes improved method, comprised a vehicle arrival estimation model optimization Firstly, microscopic was developed to capture dynamics both in red green durations. Based upstream detection information, time is predicted taking account timing, trajectory variable queue length. real-time algorithm formulated based Dynamic Programming (DP) procedure,...

The resilience of public transit systems has become a critical issue due to their essential role in urban mobility. However, the challenges repair selection and sequencing integrated transportation networks (IPTN) have not been fully explored. Therefore, we propose bi-level resilience-based strategy optimisation (RRSO) model investigate IPTN. To consider trip account for cascade failure processes, lower-level traffic assignment was into single-layer RRSO model. In model, perceived travel...

Lane-changing algorithms have attracted increased attention during recent years. However, limited research has been conducted to address the probability of changing lanes and vehicle interactions that occur. The objective this study is model urban lane-changing maneuvers by using data related driver behavior. Two components were developed from field data, for gap acceptance. experiments collect corresponding data: a focus group an in-vehicle driving test. proposed was implemented in CORSIM...

Abstract: Lane-changing algorithms have attracted increased attention during recent years in traffic modeling. However, little has been done to address the competition and cooperation of vehicles when changing lanes on urban streets. The main goal this study is quantify vehicle interactions a lane-changing maneuver. Video data collected at busy arterial street Gainesville, Florida, were used distinguish between free, forced, competitive/cooperative lane changes. Models particularly for...

The lack of sufficient data is the result inherent complexity gathering and subsequently analyzing route choice behavior, which unfortunately hasn't been revealed much by existing literatures. With assistance GIS technology taxi-based floating car data, authors found that majority urban drivers would not travel along shortest or fastest paths. This paper studies factors influence commuters' switching based on objective real-world observations behavior. Possible may affect driver's are then...

Network vulnerability of urban rail transit systems generally reflects the functionality loss caused by node or line operational disruptions, which may be taken into consideration during planning stage. This study aimed to identify optimal alignment corridor a new metro considering network vulnerability. A quantitative approach was developed assess performance an under various disruption scenarios. In addition characteristics, utility ridership and total construction costs were accounted....

Vehicular configuration optimization thus to prolong driving mileage has become an essential issue in affecting the future prospect of electric vehicles. This study proposed simulate energy consumption vehicles using real-world cycle (RWDC) data urban area. First, operational commercial were obtained for RWDC development. Vehicle parameters, including vehicle body, battery, tire, transmission, chosen simulation ADvanced VehIcle SimulatOR (ADVISOR) software package, by which estimated...