
Pan ShangBeijing Jiaotong University | NJTU · School of Traffic and Transportation
Pan Shang
Doctor of Engineering
About
67
Publications
21,487
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,345
Citations
Additional affiliations
July 2019 - present
Education
September 2016 - July 2019
September 2013 - July 2016
Publications
Publications (67)
Assessing and prioritizing the duration time and effects of traffic incidents on major roads present significant challenges for road network managers. This study examines the effect of numerous factors associated with various types of incidents on their duration and proposes an incident duration prediction model. Several parametric accelerated fail...
The rapid increase in e-commerce and the emergence of combined passenger/freight systems in urban areas have raised the question of how best to integrate public transport services into door-to-door deliveries. This paper develops a variant of the pickup and delivery problem, called the two-echelon pickup and delivery problem using public transport...
The urban rail transit (URT) system attracts many commuters with its punctuality and convenience. However, it is vulnerable to disruptions caused by factors such as extreme weather and temporary equipment failures, which greatly affect passengers' journeys and diminish the system's service quality. In this study, we propose targeted travel guidance...
Urban rail transit (URT) networks serve a large amount of travel demand in metropolitan areas. One of the fundamental challenges in URT demand management is the dynamic interaction between train frequencies and passenger routing behaviors, which becomes even more complicated in oversaturated scenarios. Introducing the behavior-adaptive sync-flow (B...
This paper presents a synchronized transfer strategy in which operators can schedule logistics vehicles among employees and arrange the transfer of commodities. The transfer time consists of the vehicle waiting time and commodity transition time. By adopting the strategy, logistics vehicles can visit fewer communities, resulting in savings in trans...
1 The considerable increase in parcel deliveries has negatively impacted the accessibility and livability of cities. One 2 solution strategy is to decouple short-distance from long-distance shipping so that last-mile transport can be performed 3 with low-footprint vehicles. Such solutions are referred to in the literature as multi-echelon distribut...
In this study, we focus on one of the practically important research problems of coordinated passenger path and space-time trajectory estimation in an urban rail transit network based on multi-source observations. This task was accomplished by developing a modeling framework to integrate frequency- and schedule-based passenger assignment approaches...
With the introduction of freight transportation into the passenger transit network, underground city logistics are regarded as a desirable alternative to address the challenges due to truck movements in urban freight transport. Furthermore, some metro lines suffer from low-capacity utilization because of the unbalanced demand, which provides the po...
The urban rail transit (URT) system attracts many commuters with its punctuality and convenience. Still, it is susceptible to interruptions caused by various factors, including extreme weather and temporary equipment failures, which cause great disturbances to passengers' travels and reduce the safety and service quality of the URT system. In this...
Focusing on a heavily congested urban rail corridor, this study investigates the passenger flow control strategy optimization problem from a mesoscopic perspective to reduce platform congestion and enhance service quality. Based on a quadratic functional approximation for passenger arrival rates, an analytical formula for calculating passenger wait...
Abstract: The COVID-19 pandemic has affected communities worldwide. The metro system, an essential means of public transportation in many cities, is particularly vulnerable to the spread of the virus due to its limited space and complex passenger flow structure. As the basis of quick and effective management decision-making, it is very important bu...
This study investigates the potential of a shared freight and passenger high-speed railway system in which different transportation resources are allowed to be shared under different sharing modes. A sharing-carriage mode is proposed and combined with a sharing-train mode to fully exploit the remaining capacity of the existing railway schedule. The...
The crew planning problem is a key step in the urban rail transit (URT) planning process and has a critical impact on the operational efficiency of a URT line. In general, the crew planning problem consists of two subproblems, crew scheduling and crew rostering, which are usually solved in a sequential manner. Such an approach may, however, lead to...
This paper aims to simultaneously optimise train timetabling and rolling stock scheduling in a bidirectional urban rail transit line. A novel variable train composition strategy is adopted to respond to time-dependent passenger demand by allowing modular train units to split and couple with each other at depots. We mathematically model this problem...
This study solves an integrated operational problem regarding hierarchical service network design and passenger assignment for urban rail transit systems. We propose an innovative nonlinear programming model for determining the number of stocking trains at each depot, number of operating trains on each line, and line-based service frequency and cap...
In an urban shuttle system, shuttle buses need to pick up passengers waiting at predetermined stops according to their planned schedules (routes and timetables). However, in practice, passenger demand is unstable and has fluctuations, which means that passenger demand at a specific stop is likely to increase or decrease, causing low service quality...
The widespread application of electric vehicles for city last-mile logistics has been enhanced by the emerging trend of urban sustainable mobility, which intends to reduce vehicle emissions and the dependence on fossil fuels. The recharging facility location is critical for electric logistics network planning, because it significantly affects futur...
Traffic congestion is a difficult problem that restricts the construction of urbanization. Spatiotemporal traffic speed forecasting technologies can provide effective technical support for alleviating traffic congestion and ensuring vehicle travel safety. The ensemble learning algorithm is a hot topic in traffic speed modeling. In this field, previ...
The general lack of first/last mile connectivity is one of the main challenges encountered by intercity transport systems. New transportation alternatives called flexible transit systems, which combine on-demand service adjustment capabilities to the regular route and master schedule characteristics of the conventional transit, are therefore increa...
Train timetabling, platforming, and network maintenance scheduling are three highly interdependent problems that are crucial in the planning of railway operations, and each is normally addressed separately. In this paper, we simultaneously optimize these problems for a high-speed railway network that is comprised of multiple railway lines and stati...
Spatio-temporal traffic volume forecasting technologies can effectively improve freeway traffic efficiency and the travel comfort of humans. To construct a high-precision traffic volume forecasting model, this study proposed a new ensemble deep graph reinforcement learning network. The modeling process of the spatio-temporal prediction model mainly...
Abstract The rapid development in the catering services and urban logistics industries has significantly promoted the prosperity of business‐to‐consumer (B2C) e‐commerce urban logistics distribution, which is gaining increasing interest from food producers, distribution platforms, and consumers. Unlike traditional logistics supply chains, catering...
In oversaturated urban rail transit systems, passengers departing from downstream stations often experience long waiting times due to unbalanced space-time demand and limited transit capacity. This is often prevalent during morning and evening peak periods in transit systems. This paper aims to mitigate the unfairness of waiting time among a time-v...
The recent development of advanced communication and data collection technologies enables a wide range of possibilities for systematic planning, operation, and control of urban rail transit systems in many megacities. While traditional methods consider tactical transit timetabling and operational circulation planning as two independent stages, this...
Electric vehicles are environmental transportation modes that are widely applied in green logistics systems. To guarantee the energy efficiency, the impacts of customer service modes and recharging strategies need to be integrated into the optimization of electric logistics resource. This paper proposes an electric vehicle routing problem with mixe...
In this study, we focused on the evolution of passenger flow in an urban rail transit network in both temporal and spatial dimensions under the event of station closure. We constructed an extended space-time-state hyper network so that we could utilize a better-defined three-dimensional solution space to describe passenger behaviors and pedestrian...
In this paper we develop a method of real-time train rescheduling on double-track high-speed railway lines undergoing major disruption. The disruption involves some track sections being completely blocked for a relatively long period of time; as a result, trains approaching the disrupted area cannot use the blocked tracks, and must be efficiently r...
At present, the existing dynamic OD estimation methods in an urban rail transit network still need to be improved in the factors of the time-dependent characteristics of the system and the estimation accuracy of the results. This study focuses on predicting the dynamic OD demand for a time of period in the future for an urban rail transit system. W...
This paper investigates the impact of high-speed rail (HSR) on urban service industry agglomeration, based on the panel data of 332 Chinese cities of 14 years (2001-2014). The first contribution of this paper is to investigate distinct agglomeration patterns of different service industry segments in different type of cities. Results show that the H...
Trains normally run as scheduled in a non-disrupted situation. However, due to external and/or internal factors, trains may deviate from their original timetable during daily operations. To this end, the involved dispatchers are required to reschedule disrupted trains to efficiently transport delayed passengers to their destinations as soon as poss...
The school bus routing problem (SBRP) is a challenging real-world problem that affects many citizens on a daily basis. This study considers several important classes of practical requirements for SBRP that include multiple schools, mixed
loads for students boarding the same bus but from different stops and commuting to different schools, heterogen...
Train timetabling and train platforming are problems of crucial importance when scheduling high-speed trains. Often, these problems are solved separately and in sequence. It is also not uncommon for the problems to be further decomposed by direction since the use of tracks is usually direction specific in a high-speed network. In this paper, we con...
In this study, we focus on improving the efficiency of an urban rail transit line under the circumstance of spatially unbalanced passenger demand. A flexible short-turning strategy is integrated into the train scheduling problem, aiming to obtain a train timetable and the corresponding circulation plan adapted to a time-dependent passenger demand....
In an oversaturated urban rail transit system, passengers who depart from downstream stations often experience long waiting times due to unbalanced space-time demand and limited transit capacity. This issue of unfairness in sharing resources of limited train capacity is prevalent during morning and evening peak periods in most transit systems. This...
Trains normally run as scheduled in a non-disrupted situation. However, due to external and/or internal factors, trains may deviate from their original timetable during daily operations. To this end, the involved dispatchers are required to reschedule disrupted trains to efficiently transport delayed passengers to their destinations as soon as poss...
Parking pricing is considered a powerful tool for improving parking management and relieving traffic congestion in metropolitan areas. This study uses field-collected panel data over four time periods before and after the implementation of a new parking pricing policy in Nanning to investigate the time-varying effect of pricing on on-street parking...
The efficiency of automated container terminals primarily depends on the synchronization of automated-guided vehicles (AGVs) and automated cranes. Accordingly, we study the integrated rail-mounted yard crane and AGV scheduling problem as a multi-robot coordination and scheduling problem in this paper. Based on a discretized virtualized network, we...
This paper studies the vehicle routing problem with mixed backhauls and time windows (VRPMBTW) for city logistics. A time-discretized multi-commodity network flow optimization model is proposed in an extended state-space-time network representation, where the time-dependent pickups and deliveries can be depicted by extending the state dimensions. B...
This study proposes a modelling framework for the demand-driven train timetable and stop pattern cooperative optimization problem on an urban rail transit line. By embedding the train stop pattern into the timetable optimization process, we consider the minimization of total passenger travel time. A binary variable determination (BVD) method, which...
Purpose
The purpose of this paper is to study the unit train make-up scheme for loaded direction in the heavy haul railway.
Design/methodology/approach
A 0-1 nonlinear integer programming model with the aim of minimizing the idling period between actual train arrival time and expected train arrival time for all loaded unit trains are proposed.
Fi...
As an important means of transportation, urban rail transit provides effective mobility, sufficient punctuality, strong security , and environment-friendliness in large cities. However, this transportation mode cannot offer a 24-h service to passengers with the consideration of operation cost and the necessity of maintenance, that is, a final time...
In most urban subway networks, passengers may make a transfer at night or in the early morning to arrive at their destinations. Given that passengers may confronted with transfer failure at night or long waiting in the morning, scheduling overnight trains is beneficial to both the last and first train services in the urban metro network, in particu...
Recently, an open-source light-weight dynamic traffic assignment (DTA) package, namely DTALite, has been developed to allow a rapid utilization of advanced dynamic traffic analysis capabilities. Aiming to bridge the modeling gaps between multi-agent simulation and optimization in a multimodal environment, we further design and develop DTALite-S to...
In this study, we focus on one of practically important research problems of integrating Lagrangian and Eulerian observations for traffic state estimation in urban rail transit networks. The task is accomplished by using a triple of flow, density, and speed to construct a discretized urban-rail traffic state, further constructing a space-time-state...
To improve traffic operations and management under inclement weather, this work quantificationally investigated the influence of rainfall on the traffic flow characteristics of urban expressways in Beijing. Four basic traffic flow models (Greenshields model, Greenberg model, Underwood model, and Drake function model) were compared to determine the...
Recently, automation, shared use, and electrification are viewed as the “three revolutions” in the future transportation sector, and the traditional scheduled public transit system will be greatly enhanced with flexible services and autonomous vehicle scheduling capabilities. Many emerging scheduled transportation applications include the fully aut...
Matlab code using CPLEX to solve the smart reservation scheudling problem
Pan Shang Ruimin li Zhiyong Liu- [...]
Aq
In an urban subway network, a synchronized and optimized timetable can provide a good service to all passengers. Therefore, the timetable is typically the most important factor for an operator. This study builds a time-dependent passenger demand-driven timetable synchronization and optimization (TDTSO) model as a mixed-integer programming model to...
In this study, we focus on improving system-wide equity performance in an oversaturated urban rail transit network based on multi-commodity flow formulation. From the system perspective, an urban rail transit network is a distributed system, where a set of resources (i.e., train capacity) is shared by a number of users (i.e., passengers), and equit...
This paper studies the optimization of an urban single-line metro timetable for total passenger travel time adapted to dynamic passenger demand, which arises in an urban metro service and is a common problem in major cities. After analyzing the components of the total passenger travel time, a model is presented with the aim of minimizing total pass...
The paper studied the problem of empty wagons adjustment of Chinese heavy-haul railway. Firstly, based on the existing study of the empty wagons adjustment of heavy-haul railway in the world, Chinese heavy-haul railway was analyzed, especially the mode of transportation organization and characteristics of empty wagons adjustment. Secondly, the opti...
Traffic congestion is a serious problem in large cities and is caused by various factors, such as accidents, inclement weather, and road maintenance work. This study investigates the effect of inclement weather on urban traffic flow based on the weather condition information recorded by the weather detectors and the traffic flow data collected by m...