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Open research questions in Transportation and Mobility Innovations

96 gap statements mined from Transportation and Mobility Innovations papers in our 4.5M-paper local library, which holds 1,438 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The lack of a trajectory-based ride matching approach that considers route similarity rather than geographic proximity.

    A Survey on Trajectory-Based Carpool Ride Matching System using Map APIs · 2026 · DOI

  • For the BDSP, future work could focus especially of the very large instances, where the benefits of lns+rb(f) seem to degrade, and investigate further improvements of the integration like eliminating sub-optimal columns from the background thread, or more choices between accepting the best or full set of columns.

    Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints · 2026 · DOI

  • The lack of affordable and trustworthy off-campus transportation options for university students. The need for an examination of the social perception of computer science as a major.

    Cavpool: A Safe, Affordable Solution to Undergraduate Transportation; Computer Science: An Undergraduate Epidemic · 2026 · DOI

  • Autonomous utility service vehicles (AUSVs) represent a distinct class of automated platforms designed to operate at very low speeds (often around 5–10 km/h) for urban road maintenance tasks, yet their integration in mixed traffic remains poorly understood.

    Traffic Flow Impacts of Autonomous Utility Service Vehicles Representing Low-Speed Operation in Urban Networks · 2026 · DOI

  • Further studies can explore the relationships between TNCs and public transit in other cities. Further studies can examine the impact of other factors on the relationships between TNCs and public transit.

    Substitution or complement? Uncovering the interplay between ride-hailing services and public transit · 2026 · DOI

  • The literature on TNCs has often focused on their substitutive relationships with public transit, but the complementary relationships are not well understood. There is a need for a data-driven framework to classify TNC-PT relationships into four types.

    Substitution or complement? Uncovering the interplay between ride-hailing services and public transit · 2026 · DOI

  • The existing equilibrium-based models have limitations, including strong behavioral assumptions and difficult bilevel optimization problems. The paper proposes a new approach using k-implementation theory to address this gap.

    Implementation-Based Incentive Design for Autonomous Mobility-on-Demand and Transit Systems · 2026

  • The commercialization of new energy ride-hailing across the globe is confronted with multifaceted challenges. Inadequate infrastructure and prohibitive acquisition costs hinder the large-scale deployment of new energy vehicles.

    The Operation Mode and Commercialization Journey of New Energy Ride-Hailing Vehicles · 2026 · DOI

  • Small and medium taxi fleet operators in India lack a digital solution for booking management. Existing commercial solutions are priced at $30-150 per vehicle per month, making them inaccessible to small fleet operators.

    Taxi Manager: A Cross-Platform Mobile Application for Role-Based Taxi Fleet and Booking Management · 2026 · DOI

  • The study does not provide a comprehensive evaluation of the algorithm's performance in different scenarios. The dataset used is limited to a specific region and time period. The study relies on simulated data and does not account for real-world uncertainties.

    Using Big Data to optimize dynamic ambulance availability maps: bridging the gap in emergency services · 2026 · DOI

  • Traditional static models do not account for dynamic changes in road conditions, leading to potential delays. The lack of real-time decision support systems for EMS dispatchers can lead to suboptimal resource allocation. The need for a novel algorithm to dynamically optimize ambulance availability and response times.

    Using Big Data to optimize dynamic ambulance availability maps: bridging the gap in emergency services · 2026 · DOI

  • The lack of a centralized system for travel and transportation management. The need for an online travel management system that allows customers to easily book vehicles, explore tour packages, and access travel information from anywhere.

    Hitesh Yadav Tours & Travels · 2026 · DOI

  • The need to integrate route optimization and pricing. The complexity of the Heterogeneous Vehicle Routing Problem with crowd-drivers.

    Pricing routes: Compensation of crowd-drivers · 2026 · DOI

  • The lack of a framework to create an operational plan of routes and price routes based on the market. The need to integrate route optimization and pricing to minimize the expected cost and maximize the participation of crowd-drivers.

    Pricing routes: Compensation of crowd-drivers · 2026 · DOI

  • Timely access to automated external defibrillators (AEDs) remains a major limitation of public-access defibrillation systems because stationary AED networks cannot adapt to spatial and temporal variation in out-of-hospital cardiac arrest (OHCA) demand.

    Let AEDs Move: Urban Mobility Enhanced Defibrillator Deployment · 2026

  • An increasing number of studies examine the AV readiness of cities where urban autonomous vehicle street tests have already been performed, leaving a significant gap in understanding the AV-readiness of cities that have not yet undergone such testing.

    Assessing the readiness of Hungarian cities for autonomous vehicles · 2025 · DOI

  • In recent years, the flex-route transit (FRT) has become increasingly popular due to its convenience, especially in scenarios where transportation demands are sparse or dispersed.

    An exact method to solve the flex-route transit operational planning problem considering energy consumption · 2025 · DOI

  • The advancement of robotics in personal transportation requires a structured approach to safety, infrastructure, ethics, following recommendations are proposed to guide future development and deployment of robotic mobility systems. A.

    Robotics and the Future of Personal Transportation · 2026 · DOI

  • Integration of real-time traffic data and GPS-based route optimization can help in suggesting the fastest and most fuel-efficient routes. The system can be extended to support multilingual interfaces and voice-based navigation.

    Dynamic Ride Sharing for Optimizing Shared Transportation · 2026 · DOI

  • Policy optimization and infrastructure improvement are crucial for the development of new energy ride-hailing services. Reduction of autonomous driving costs and innovation of profit models will drive the development of new energy ride-hailing services.

    The Operation Mode and Commercialization Journey of New Energy Ride-Hailing Vehicles · 2026 · DOI

  • Online payment integration. Live vehicle tracking. AI-based travel recommendations. Mobile application support. Multilingual functionality.

    Hitesh Yadav Tours & Travels · 2026 · DOI

  • Through the analysis of 2253 studies, the review identified major research trends, technological advancements, accessibility challenges, and emerging directions in inclusive smart mobility research.

    A systematic review of inclusive intelligent transportation systems in smart cities · 2026 · DOI

  • Analyzing the effects of autonomous vehicles on the spatial structures of future cities - Determining the optimal residential lot size and the optimal SAV market share to maximize social welfare - Accounting for land competition among firms, households…

    Autonomous Vehicles, Urban Deployment, and Welfare Effects · 2026 · DOI

  • There is a lack of understanding of the effects of autonomous vehicles on the spatial structures of future cities - The paper aims to fill this gap by providing a theoretical…

    Autonomous Vehicles, Urban Deployment, and Welfare Effects · 2026 · DOI

  • Overall, this paper responds to controversial and underexplored questions around AVs data ownership, industry use of personal data, infrastructure resilience, and government-industry collaboration for AV-ready cities.

    Automated and disrupted mobilities: Insights from the New Zealand industry sector · 2025 · DOI

Most-cited papers in Transportation and Mobility Innovations

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Open questions raised by papers listed on this page include: (1) The lack of a trajectory-based ride matching approach that considers route similarity rather than geographic proximity (“A Survey on Trajectory-Based Carpool Ride Matching System using Map APIs”, 2026); (2) The lack of affordable and trustworthy off-campus transportation options for university students (“Cavpool: A Safe, Affordable Solution to Undergraduate Transportation; Computer…”, 2026); (3) The literature on TNCs has often focused on their substitutive relationships with public transit, but the complementary relationships are not well understood (“Substitution or complement? Uncovering the interplay between ride-hailing…”, 2026); (4) The lack of real-time decision support systems for EMS dispatchers can lead to suboptimal resource allocation (“Using Big Data to optimize dynamic ambulance availability maps: bridging the…”, 2026); (5) The lack of a centralized system for travel and transportation management (“Hitesh Yadav Tours & Travels”, 2026). 96 gap statements have been mined from Transportation and Mobility Innovations papers in our 4.5M-paper local library, which holds 1,438 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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